Python随身听-2020-10-05-技术精选

致读者：亲爱的「Python随身听」的观众们，这是由DE8UG的人工非智能给你带来的新的一期技术精选。
主要为编程初学者，开发工程师，算法工程师，数据分析师，运维，测试，运营，产品等各个岗位的Python爱好者带来Python世界的流行趋势，前沿技术。
你可以挑选自己喜欢的项目尽情玩耍，任何想法欢迎留言讨论。
本文的结构和内容会经常更新，每天10：24分左右发布，感谢订阅🆙和收藏☆。
（点击原文或到pythonradio.online网站查看可点击的文档链接）

🤩Python随身听-技术精选： /mxrch/GHunt

👉🕵️‍♂️ Investigate Google Accounts with emails.

😎TOPICS: ``

⭐️STARS：1513, 今日上升数↑:1,455

👉README：

Description

GHunt is an OSINT tool to extract a lot of informations of someone's Google Account email.

It can currently extract :

Owner's name
Last time the profile was edited
Google ID
If the account is an Hangouts Bot
Activated Google services (Youtube, Photos, Maps, News360, Hangouts, etc.)
Possible Youtube channel
Possible other usernames
Public photos
Phones models
Phones firmwares
Installed softwares
Google Maps reviews
Possible physical location

Screenshots

⚠️ Warning

02/10/2020 : Since few days ago, Google return a 404 when we try to access someone's Google Photos public albums, we can only access it if we have a link of one of his albums.
Either this is a bug and this will be fixed, either it's a protection that we need to find how to bypass.
So, currently, the photos & metadata module will always return "No albums" even if there is one.
02/10/2020 : I found a bypass, I'...

地址：https://github.com/mxrch/GHunt

🤩Python随身听-技术精选： /huggingface/datasets

👉🤗 Fast, efficient, open-access datasets and evaluation metrics for Natural Language Processing and more in PyTorch, TensorFlow, NumPy and Pandas

😎TOPICS: nlp,datasets,metrics,evaluation,pytorch,tensorflow,pandas,numpy,natural-language-processing

⭐️STARS：4078, 今日上升数↑:238

👉README：

https://github.com/huggingface/datasets

🤩Python随身听-技术精选： /rvizzz/rotate

👉Create recursive image rotation animations

😎TOPICS: ``

⭐️STARS：296, 今日上升数↑:75

👉README：

rotate

Create recursive image transformation animations

Full demo animation on my Twitter:
https://twitter.com/r_vizzz/status/1311425342310092800?s=20

Older animations:
https://www.youtube.com/watch?v=OXo-uzzD4Js
https://www.reddit.com/r/compsci/comments/izy2kf/rotating_an_image_recursively_one_of_my_favorite/

Usage Instructions

An animation can be generated using the rotate.py or transform.py file.

rotate.py

Arguments:

`python3.7 rotate.py <input_image.png> ...

地址：https://github.com/rvizzz/rotate

🤩Python随身听-技术精选： /willmcgugan/rich

👉Rich is a Python library for rich text and beautiful formatting in the terminal.

😎TOPICS: python,python3,python-library,terminal,terminal-color,markdown,tables,syntax-highlighting,ansi-colors,progress-bar-python,progress-bar,traceback,rich,tracebacks-rich,emoji,hacktoberfest

⭐️STARS：12841, 今日上升数↑:179

👉README：

Rich

中文 readme • lengua española readme

Rich is a Python library for rich text and beautiful formatting in the terminal.

The Rich API makes it easy to add color and style to terminal output. Rich can also render pretty tables, progress bars, markdown, syntax highlighted source code, tracebacks, and more — out of the box.

For a video introduction to Rich see calmcode.io by @fishnets88.

See what people are saying about Rich.

Compatibility

Rich works with Linux, OSX, and Windows. True color / emoji works with new Windows Terminal, classic terminal is limited to 8 colors. Rich requires Python 3.6.1 or later.

Rich works with Jupyter notebooks with no additional config...

地址：https://github.com/willmcgugan/rich

🤩Python随身听-技术精选： /NVlabs/imaginaire

👉NVIDIA PyTorch GAN library with distributed and mixed precision support

😎TOPICS: ``

⭐️STARS：1066, 今日上升数↑:329

👉README：

Imaginaire

Docs | License | Installation | Model Zoo

Imaginaire is a pytorch library that contains
optimized implementation of several image and video synthesis methods developed at NVIDIA.

License

Imaginaire is released under NVIDIA Software license.
For commercial use, please consult researchinquiries@nvidia.com

What's inside?

We have a tutorial for each model. Click on the model name, and your browser should take you to the tutorial page for the project.

Supervised Image-to-Image Translation

地址：https://github.com/NVlabs/imaginaire

🤩Python随身听-技术精选： /EssayKillerBrain/EssayKiller_V2

👉基于开源GPT2.0的初代创作型人工智能 | 可扩展、可进化

😎TOPICS: ``

⭐️STARS：383, 今日上升数↑:280

👉README：

EssayKiller

通用型议论文创作人工智能框架，仅限交流与科普。

Bilibili视频地址：https://www.bilibili.com/video/av669847658/

项目简介

EssayKiller是基于OCR、NLP领域的最新模型所构建的生成式文本创作AI框架，目前第一版finetune模型针对高考作文（主要是议论文），可以有效生成符合人类认知的文章，多数文章经过测试可以达到正常高中生及格作文水平。

项目作者	主页1	主页2	主页3
图灵的猫	知乎	B站	Youtube

致谢

感谢共同作者@imcaspar 提供GPT-2中文预训练框架与数据支持。
感谢@白小鱼博士、@YJango博士、@画渣花小烙、@万物拣史、@柴知道、@风羽酱-sdk、@WhatOnEarth、@这知识好冷、[@科技狐](https://space.bilibili.com/4043340...

地址：https://github.com/EssayKillerBrain/EssayKiller_V2

🤩Python随身听-技术精选： /TheAlgorithms/Python

👉All Algorithms implemented in Python

😎TOPICS: python,algorithm,algorithms-implemented,algorithm-competitions,algos,sorts,searches,sorting-algorithms,education,learn,practice,community-driven,interview,hacktoberfest

⭐️STARS：86532, 今日上升数↑:253

👉README：

The Algorithms - Python

All algorithms implemented in Python (for education)

These implementations are for learning purposes. They may be less efficient than the implementations in the Python standard library.

Contribution G...

地址：https://github.com/TheAlgorithms/Python

🤩Python随身听-技术精选： /jayshah19949596/CodingInterviews

👉This repository contains coding interviews that I have encountered in company interviews

😎TOPICS: coding-challenge,coding-interviews,coding-challenges,company-challenges,algorithm-challenges,interview,interview-questions,interview-preparation,interview-practice,interview-prep,company-interviews,algorithm,algorithms,algorithms-datastructures,algorithms-and-data-structures,interviews,interviewing,interview-test,google-interview,amazon-interview

⭐️STARS：2344, 今日上升数↑:293

👉README：

This repository is for the ones who want to do well in their coding interviews.
This repository will help you know what kind of questions to expect and you can also practice the questions in this repository.
I am creating this repository because initially I faced a lots of rejection because there was no resource like this.
I want others to do good in their coding interviews, hence I am making this repository public.
If you think that this repository is helpful then don't forget to star ⭐ this repository, so that others can discover this repository.
Do Read my article on Medium How to do well in a coding interview

Company Interview Table Sorted by Month-Year
Company	Position	Applied	Test
https://github.com/jayshah19949596/CodingInterviews 🤩Python随身听-技术精选： /geekcomputers/Python 👉My Python Examples 😎TOPICS: `` ⭐️STARS：18926, 今日上升数↑:149 👉README： master This document helps to understand python in detail. My Python Examples master My Python Examples 🐍 😄 I do not consider myself a programmer. I create these little programs as experiments to play with Python, or to solve problems for myself. I would gladly accept pointers from others to improve, simplify, or make the code more efficient. If you would like to make any comments then please feel free to email me: master My Best Python Examples master 📧 craig@geekcomputers.co.uk. master These scripts contain important functions which help reduce human workload. Code documentation is aligned correctly when the files are viewed in Notepad++. 🗒️ These scripts contain important functions which help reduce human workload.And also helps begineers to get started with python. Code documentation is aligned correctly when the files are viewed in Notepad++. Jarvis is used as a google assistant... 地址：https://github.com/geekcomputers/Python 🤩Python随身听-技术精选： /deeppomf/DeepCreamPy 👉Decensoring Hentai with Deep Neural Networks 😎TOPICS: `hentai,deep-learning,anime,neural-network,tensorflow,censorship,ai,image-inpainting` ⭐️STARS：10033, 今日上升数↑:14 👉README： DeepCreamPy Decensoring Hentai with Deep Neural Networks. A deep learning-based tool to automatically replace censored artwork in hentai with plausible reconstructions. Before DeepCreamPy can be used, the user must color censored regions in their hentai green with an image editing program like GIMP or Photoshop. DeepCreamPy takes the green colored images as input, and a neural network automatically fills in the censored regions. You can download the latest release for Windows 64-bit here. For users interested in compiling DeepCreamPy themselves, DeepCreamPy can run on Windows, Mac, and Linux. Please before you open a new issue check closed issues and check the table of contents. 地址：https://github.com/deeppomf/DeepCreamPy 🤩Python随身听-技术精选： /corpnewt/gibMacOS 👉Py2/py3 script that can download macOS components direct from Apple 😎TOPICS: `` ⭐️STARS：2045, 今日上升数↑:13 👉README： Py2/py3 script that can download macOS components direct from Apple Can also now build Internet Recovery USB installers from Windows using dd and 7zip. Thanks to: FoxletFox for [FetchMacOS](http://www.insanelymac.com/forum/topic/326366-fetchmacos-a-tool-to-download-macos-on-non-mac-platf... 地址：https://github.com/corpnewt/gibMacOS 🤩Python随身听-技术精选： /microsoft/archai 👉Reproducible Rapid Research for Neural Architecture Search (NAS) 😎TOPICS: `nas,network-architecture,neural-architecture-search,deep-learning,darts,petridish` ⭐️STARS：130, 今日上升数↑:74 👉README： Welcome to Archai Archai is a platform for Neural Network Search (NAS) that allow you to generate efficient deep networks for your applications. Archai aspires to accelerate NAS research by enabling easy mix and match between different techniques while ensuring reproducibility, self-documented hyper-parameters and fair comparison. To achieve this, Archai uses common code base that unifies several algorithms. Archai is extensible and modular to allow rapid experimentation of new research ideas and develop new NAS algorithms. Archai also hopes to make NAS research more accessible to non-experts by providing powerful configuration system and easy to use tools. Extensive feature list Installation Prerequisites Archai requires Python 3.6+ and PyTorch 1.2+. To install Python we highly recommend Anaconda. Archai works both on Linux as well as Windows. Install from source co... 地址：https://github.com/microsoft/archai 🤩Python随身听-技术精选： /PaytmLabs/nerve 👉NERVE Continuous Vulnerability Scanner 😎TOPICS: `security,security-tools,security-testing,vulnerability-scanners,vulnerability-assessment,vulnerability-detection` ⭐️STARS：86, 今日上升数↑:23 👉README： Network Exploitation, Reconnaissance & Vulnerability Engine (N.E.R.V.E) Table of Contents Continuous Security About NERVE What is NERVE Features Prerequisites Installation Deployment Recommendations Installation - Docker Installation - Bare Metal Multi-node installation Security Usage License Mentions Screenshots Continuous Security We believe security scanning should be done continuously. Not daily, weekly, monthly, or quarterly. The benefit of running security scanning contiuously can be any of the following: You have a dynamic environment where infrastructure gets created every minute / hour / etc. You want to be the first to catch issues before anyone else You want the ability to respond quicker. NERVE was creat... 地址：https://github.com/PaytmLabs/nerve 🤩Python随身听-技术精选： /malwaredllc/byob 👉An open-source post-exploitation framework for students, researchers and developers. 😎TOPICS: `encrypted-connections,platform-independent,zero-configuration,no-dependencies,reverse-shells,antiforensics,post-exploitation` ⭐️STARS：5118, 今日上升数↑:126 👉README： Questions? Join our Discord server Disclaimer: This project should be used for authorized testing or educational purposes only. BYOB is an open-source post-exploitation framework for students, researchers and developers. It includes features such as: Pre-built C2 server Custom payload generator 12 post-exploitation modules It is designed to allow students and developers to easily implement their own code and add cool new features without having to write a C2 server or Remote Administration Tool from scratch. This project has 2 main parts: the original console-based application (`/byob`) and the web GUI (`/web-gui`). Web GUI Dashboard A control panel for your C2 server with a point-and-click interface for executing post-exploitation modules. The control panel includes an interactive map of client machines and a dashboard... 地址：https://github.com/malwaredllc/byob 🤩Python随身听-技术精选： /NVIDIA/NeMo 👉NeMo: a toolkit for conversational AI 😎TOPICS: `deep-learning,speech-recognition,nlp,nlp-machine-learning,neural-network` ⭐️STARS：1910, 今日上升数↑:104 👉README： \|status\| \|license\| \|lgtm_grade\| \|lgtm_alerts\| \|black\| .. \|status\| image:: http://www.repostatus.org/badges/latest/active.svg :target: http://www.repostatus.org/#active :alt: Project Status: Active – The project has reached a stable, usable state and is being actively developed. .. \|license\| image:: https://img.shields.io/badge/License-Apache 2.0-brightgreen.svg :target: https://github.com/NVIDIA/NeMo/blob/master/LICENSE :alt: NeMo core license and license for collections in this repo .. \|lgtm_grade\| image:: https://img.shields.io/lgtm/grade/python/g/NVIDIA/NeMo.svg?logo=lgtm&logoWidth=18 :target: https://lgtm.com/projects/g/NVIDIA/NeMo/context:python :alt: Language grade: Python .. \|lgtm_alerts\| image:: https://img.shields.io/lgtm/alerts/g/NVIDIA/NeMo.svg?logo=lgtm&logoWidth=18 :target: https://lgtm.com/projects/g/NVIDIA/NeMo/alerts/ :alt: Total alerts .. \|black\| image:: https://img.shields.io/badge/code style-black-000000.svg :target: https://github.com/psf/black :alt: Code st... 地址：https://github.com/NVIDIA/NeMo 🤩Python随身听-技术精选： /NLDev/Hacktoberfest-2020-FizzBuzz 👉🎃 Submit creative/abstract FizzBuzz solutions in any language you want! 😎TOPICS: `hacktoberfest,hacktoberfest2020,fizzbuzz,hacktober` ⭐️STARS：58, 今日上升数↑:35 👉README： 🎃 Hacktoberfest 2020 FizzBuzz Submit creative FizzBuzz solutions in any language you want! Read the official issue for an intro: https://github.com/NLDev/Hacktoberfest-2020-FizzBuzz/issues/3 TL;DR: We're searching for creative/extraordinary/weird FizzBuzz solutions :) ❗ READ BEFORE CONTRIBUTING THIS REPOSITORY IS IN COMPLIANCE WITH THE HACKTOBERFEST VALUES AND RULES: We cannot accept every PR and label invalid one's accordingly! Examples are off-topic contributions, duplicated solutions, copy-paste solutions as well as obvious +1 attempts. We are searching for interesting/creative/abstract/unique/extraordinary/weird solutions to FizzBuzz. Only one normal solution per language is permitted! This repository aligns with [the va... 地址：https://github.com/NLDev/Hacktoberfest-2020-FizzBuzz 🤩Python随身听-技术精选： /Py-Contributors/awesomeScripts 👉A Collection of Awesome Scripts in Python to Ease Daily-Life. Create an issue If you have some great idea to the new script 😎TOPICS: `python3,python-scripts,awesome-scripts,python,hacktoberfest,hacktoberfest2020,hacktober` ⭐️STARS：92, 今日上升数↑:76 👉README： 👉 A Collection of Awesome Problem Solving Scripts in Python.👈 https://github.com/Py-Contributors/awesomeScripts 🤩Python随身听-技术精选： /hamuchiwa/AutoRCCar 👉OpenCV Python Neural Network Autonomous RC Car 😎TOPICS: `` ⭐️STARS：2728, 今日上升数↑:27 👉README： AutoRCCar Python3 + OpenCV3 See self-driving in action This project builds a self-driving RC car using Raspberry Pi, Arduino and open source software. Raspberry Pi collects inputs from a camera module and an ultrasonic sensor, and sends data to a computer wirelessly. The computer processes input images and sensor data for object detection (stop sign and traffic light) and collision avoidance respectively. A neural network model runs on computer and makes predictions for steering based on input images. Predictions are then sent to the Arduino for RC car control. Setting up environment with Anaconda Install `miniconda(Python3)` on your computer Create `auto-rccar` environment with all necessary libraries for this project 地址：https://github.com/hamuchiwa/AutoRCCar 🤩Python随身听-技术精选： /TheRenegadeCoder/sample-programs 👉Sample Programs in Every Programming Language 😎TOPICS: `hello-world,sample,programming-languages,collection,discord,hacktoberfest2020,hacktoberfest` ⭐️STARS：303, 今日上升数↑:27 👉README： Sample Programs in Every Language Welcome to the [Sample Programs in Every Language][0] repository! What began as a simple [100 Days of Code][1] challenge has expanded into a fun project. Within this repository, you'll find a growing collection of sample programs in just about every programming language to date. Learn More To get up to speed quickly, check out the [contributing doc][6]. Otherwise, here are some helpful links: [Wiki][5]: a set of dynamic tables that track every language and snippet in the repo [Projects][20]: a list of projects currently accepting code snippets [Discord][15]: an invite to our community discord [Code of Conduct][8]: a copy of the Contributor Convenant [License][9]: a copy of the MIT license document Support Sample Programs in Every Language is a project run by myself, Jeremy Grifski, as a part of my website, [The Renegade Coder][10]. If you're looking to support The Renegade Coder, check out my [list of ways you can grow the site][11]. To summariz... 地址：https://github.com/TheRenegadeCoder/sample-programs 🤩Python随身听-技术精选： /Showndarya/Hacktoberfest 👉A collection of words! ⭐ it if you 👍 it ! 😎TOPICS: `hacktoberfest,hacktoberfest2018` ⭐️STARS：207, 今日上升数↑:18 👉README： Vocabulary Builder 📖 An exhaustive collection of words as json files for easy access. How to contribute Refer the template provided below to add your word Create your first pull request 😎 Fork this repository Clone the forked repository from your account Add your JSON file to the respective folder. Commit your changes with an appropriate message. Create a pull request Example file 🎃 path: `B/Beautiful.json` (first letter needs to be capitaliz... 地址：https://github.com/Showndarya/Hacktoberfest 🤩Python随身听-技术精选： /spotDL/spotify-downloader 👉Download Spotify playlists from YouTube with albumart and metadata 😎TOPICS: `mp3,spotify-downloader,album-art,music-downloader,download-songs,youtube,download-playlists,metadata` ⭐️STARS：4363, 今日上升数↑:16 👉README： spotDL ⚠ Interested Contributors, please read our contributing Guidelines first. ⚠ We are dropping active development of spotDL v2. No focused efforts will be made to resolve v2 specific issues. ⚠ We are actively looking for Contributors/Organization Members for all projects under development. If interested, see #857 ⚠ There are a few feature requests we'd like the community to vote on. Do voice your support for features you'd like. See #867 to vote. What spotDL does: Downloads music from YouTube as an MP3 file Applies basic metadata like `track name`, `track number`, `album`, `genre` and more... You need to download ffmpeg to use this tool, download it from: MacOs Windows Linux [Central Release Page](https://ffmpeg.org/d... 地址：https://github.com/spotDL/spotify-downloader 🤩Python随身听-技术精选： /Py-Droid/Python-Thunder 👉A curated list of Python applications 😎TOPICS: `python,python3,edabit-challenges,hacktoberfest` ⭐️STARS：55, 今日上升数↑:35 👉README： Python-Thunder A curated list of Python applications How to Install [✓] Download Python3 [✓] Download IDE (Vscode or Pycharm) [✓] goto edabit How to Contribute Make sure to star the Repo(⭐) Create an issue for new problem task/alternative approach/improvement/bug fix/documentation. Ask for assigning to task and start contributing. Create Pull request and self Check the Checklist once. Don't create pull request without issue assignment. Pull Request... 地址：https://github.com/Py-Droid/Python-Thunder 🤩Python随身听-技术精选： /dafriedman97/mlbook 👉Repository for the free online book Machine Learning from Scratch (link below!) 😎TOPICS: `` ⭐️STARS：496, 今日上升数↑:163 👉README： Machine Learning from Scratch Welcome to the repo for my free online book, "Machine Learning from Scratch". The book itself can be found here. (A somewhat ugly version of) the PDF can be found in the book.pdf file above in the `master` branch. N... 地址：https://github.com/dafriedman97/mlbook 🤩Python随身听-技术精选： /ageron/handson-ml 👉A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow. 😎TOPICS: `tensorflow,scikit-learn,machine-learning,python,deep-learning,neural-network,ml,distributed,jupyter-notebook` ⭐️STARS：21173, 今日上升数↑:31 👉README： Machine Learning Notebooks This project aims at teaching you the fundamentals of Machine Learning in python. It contains the example code and solutions to the exercises in my O'Reilly book Hands-on Machine Learning with Scikit-Learn and TensorFlow: Simply open the Jupyter notebooks you are interested in: Using jupyter.org's notebook viewer note: github.com's notebook viewer also works but it is slower and the math formulas are not displayed correctly, by cloning this repository and running Jupyter locally. This option lets you play around with the code. In this case, follow the installation instructions below, or by running the notebooks in Deepnote. This allows you to play around with the code online in your browser... 地址：https://github.com/ageron/handson-ml 🤩Python随身听-技术精选： /bhaveshlohana/HacktoberFest2020-Contributions 👉A beginner-friendly project to help you in open-source contributions. Made specifically for contributions in HACKTOBERFEST 2020! Hello World Programs and Algorithms! Please leave a star ⭐ to support this project! ✨ 😎TOPICS: `hacktoberfest,hackoberfest2020,first-timers,first-pull-request-and-commit,first-pull-request,first-pull,openshift,open-source,open-source-project,open-source-community,hacktoberfest2020,contributions-welcome,contribute-repository` ⭐️STARS：107, 今日上升数↑:49 👉README： Overview The goal of this project is to help the beginners with their contributions in Open Source. We aim to achieve this collaboratively, so feel free to contribute in any way you want, just make sure to follow the contribution guidelines. You can contribute to it in either of the following ways: Beginners: A "Hello World" program in your favorite language. Intermediate: Add any one of your favorite algorithm in your favorite language, from simple to complex! Expert: Add any graphical game in your favorite programming language! HacktoberFest-2020 Open source is changing the world - one pull request at a time. HacktoberFest-2020 What is Hacktoberfest? Why Should I Contribute? What Can I Contribute? How to Contribute in this repo. What is Hacktoberfest? Hacktoberfest is a month long virtual festival event to celebrate ope... 地址：https://github.com/bhaveshlohana/HacktoberFest2020-Contributions 🤩Python随身听-技术精选： /Python-World/Python_and_the_Web 👉Build Bots, Scrape a website or use an API to solve a problem. 😎TOPICS: `hacktoberfest2020,python,scraping-websites,api,fun,bots,hacktoberfest` ⭐️STARS：68, 今日上升数↑:41 👉README： Python🐍and_the_Web Scripts/Programs in python that scrape the web, create a bot or use an API to solve a problem. We now have a section for miscellaneous scripts/programs as well. Note: 100 Ideas implemented using python🐍: python-mini-projects How to Contribute? Take a look at the Existing Issues or create your own Issues! Wait for the Issue to be assigned to you after which you can start working on it. Fork the Repo and create a branch for any Issue that you are working upon. Read the Code of Conduct Create a Pull Request which will be promptly reviewed and suggestions would be added to improve it. Add Screenshots to help us know what this Script is all about. H... 地址：https://github.com/Python-World/Python_and_the_Web 🤩Python随身听-技术精选： /Pierian-Data/Complete-Python-3-Bootcamp 👉Course Files for Complete Python 3 Bootcamp Course on Udemy 😎TOPICS: `` ⭐️STARS：12309, 今日上升数↑:35 👉README： Complete-Python-3-Bootcamp Course Files for Complete Python 3 Bootcamp Course on Udemy Get it now for ... 地址：https://github.com/Pierian-Data/Complete-Python-3-Bootcamp 🤩Python随身听-技术精选： /jaakkopasanen/AutoEq 👉Automatic headphone equalization from frequency responses 😎TOPICS: `` ⭐️STARS：2205, 今日上升数↑:15 👉README： AutoEQ TL;DR If you are here just looking to make your headphones sound better, find your headphone model in results folder's recommended headphones list and follow instructions in Usage section. About This Project AutoEQ is a project for equalizing headphone frequency responses automatically and it achieves this by parsing frequency response measurements and producing equalization settings which correct the headphone to a neutral sound. This project currently has over 2500 headphones covered in the results folder. See Usage for instructions how to use the results with different equalizer softwares and Results section for details about parameters and how the results were obtained. AutoEQ is not just a collection of automatically produced headphone equalization settings but also a tool for equalizing headphones for yourself. `autoeq.py` provides methods for reading data, equalizing it to a given target response and saving the results for u... 地址：https://github.com/jaakkopasanen/AutoEq 🤩Python随身听-技术精选： /bajajvinamr/HacktoberFest2020 👉Make your first PR! ~ A beginner-friendly repository. Add your profile, a blog, or any program under any language (it can be anything from a hello-world program to a complex data structure algorithm) or update the existing one. Just make sure to add the file under the correct directory. Happy hacking! 😎TOPICS: `hacktoberfest,hacktoberfest2020,good-first-issue` ⭐️STARS：41, 今日上升数↑:24 👉README： Hacktoberfest-2020 https://hacktoberfest.digitalocean.com/ How to contribute Submit your pull request here for Hacktoberfest-2020 in any language you prefer, if language folder not present, create one as a part of it, after script add your name and GitHub profile into Contributors.md file. Hacktoberfest is a month long virtual festival event to celebrate open source contributions presented by DigitalOcean and DEV. It is the easiest way to get into open source! Event details Hacktoberfest® is open to everyone in our global community. Whether you’re a developer, student learning to code, event host, or company of any size, you can help drive growth of open source and make positive contributions to an ever-growing community. All backgrounds and skill levels are encouraged to complete the challenge. Hacktoberfest is open to everyone in our global community! Pull requests can be made in any GitHub-hosted repositories/projects. Sign up anytime between October 1 and October 31. Rules To qualify fo... 地址：https://github.com/bajajvinamr/HacktoberFest2020 🤩Python随身听-技术精选： /aamini/introtodeeplearning 👉Lab Materials for MIT 6.S191: Introduction to Deep Learning 😎TOPICS: `mit,deep-learning,neural-networks,tensorflow,tensorflow-tutorials,music-generation,computer-vision,algorithmic-bias,deep-reinforcement-learning,deeplearning,jupyter-notebooks` ⭐️STARS：2642, 今日上升数↑:12 👉README： This repository contains all of the code and software labs for MIT 6.S191: Introduction to Deep Learning! All lecture slides and videos are available on the course website. Opening the labs in Google Colaboratory: The 2020 6.S191 labs will be run in Google's Colaboratory, a Jupyter notebook environment that runs entirely in the cloud, you don't need to download anything. To run these labs, you must have a Google account. On this Github repo, navigate to the lab folder you want to run (`lab1`, `lab2`, `lab3`) and open the appropriate python notebook (.ipynb). Click the "Run in Colab" link on the top of the lab. That's it! Running the labs Now, to run the labs, open the Jupyter notebook on Colab. Navigate to the "Runtime" tab --> "Change runtime type". In the pop-up window, under "Runtime type" select "Python 3", and under "Hardware accelerator" select "GPU". Go through the notebooks and fill in the `#TODO` cells to get the code to compile for yourself! M... 地址：https://github.com/aamini/introtodeeplearning 🤩Python随身听-技术精选： /CoreyMSchafer/code_snippets 👉None 😎TOPICS: `` ⭐️STARS：5794, 今日上升数↑:17 👉README： code_... 地址：https://github.com/CoreyMSchafer/code_snippets 🤩Python随身听-技术精选： /lmoroney/dlaicourse 👉Notebooks for learning deep learning 😎TOPICS: `` ⭐️STARS：4103, 今日上升数↑:24 👉README： ... 地址：https://github.com/lmoroney/dlaicourse 🤩Python随身听-技术精选： /fastai/fastai 👉The fastai deep learning library, plus lessons and tutorials 😎TOPICS: `deep-learning,machine-learning,pytorch,python,gpu` ⭐️STARS：19596, 今日上升数↑:19 👉README： Welcome to fastai fastai simplifies training fast and accurate neural nets using modern best practices Important: This documentation covers fastai v2, which is a from-scratch rewrite of fastai. The v1 documentation has moved to fastai1.fast.ai. To stop fastai from updating to v2, run in your terminal `echo 'fastai 1.' >> $CONDA_PREFIX/conda-meta/pinned` (if you use conda). Installing You can use fastai without any installation by using Google Colab. In fact, every page of this documentation is also available as an interactive notebook - click "Open in colab" at the top of any page to open it (be sure to change the Colab runtime to "GPU" to have it run fast!) See the fast.ai course Introduction to Colab for more information. You can install fastai on your own machines with conda (highly recommended). If you're using Anaconda then run: conda i... 地址：https://github.com/fastai/fastai 🤩Python随身听-技术精选： /sujata13/HacktoberFest-2020 👉Repository designed for beginner to contribute to open-source 😎TOPICS: `` ⭐️STARS：43, 今日上升数↑:14 👉README： HacktoberFest-2020 Repository designed for beginner to contribute to open-source ❓ What is Hacktoberfest 2020? Hacktoberfest 2020 is a month long virtual festival event to celebrate open source contributions presented by Digital Ocean, Intel and DEV. It is the easiest way to get into open source! https://hacktoberfest.digitalocean.com/ During the entire month of October 2020, all you have to do is contribute to any open source projects and open at least 4 pull requests. Yes, any project and any kind of contributions. You don’t need to be an expert in programming or coding. It can be a be a bug fix, improvement, or even a documentation change! And win an awesome T-shirt and awesome stickers. 😕 Why Should I Contribute? The Hacktoberfest’s simple plain objective is: `Support open source and earn a limited edition T-shirt!` But, it’s not just about the t-shirts or stickers. Its about supporting open source. Its about celebrating open source, and giving it back. If you’ve never contributed to ... 地址：https://github.com/sujata13/HacktoberFest-2020 🤩Python随身听-技术精选： /realpython/materials 👉Bonus materials, exercises, and example projects for our Python tutorials 😎TOPICS: `` ⭐️STARS：1979, 今日上升数↑:11 👉README： Real Python Materials Bonus materials, exercises, and example projects for our Python tutorials. Running Code Style Checks We use flake8 and black to ensure a consistent code style for all of our sample code in this repository. Run the following commands to validate your code against the linters: $ flake8 $ black --check . Running Python Code Formatter We're using a tool called black on this repo to ensure... 地址：https://github.com/realpython/materials 🤩Python随身听-技术精选： /jeffheaton/t81_558_deep_learning 👉Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks 😎TOPICS: `neural-network,machine-learning,tensorflow,keras,deeplearning,gan,convolutional-neural-networks` ⭐️STARS：2881, 今日上升数↑:12 👉README： T81 558:Applications of Deep Neural Networks Washington University in St. Louis Instructor: Jeff Heaton The content of this course changes as technology evolves, to keep up to date with changes follow me on GitHub. Section 1. Fall 2020, Monday, 2:30 PM, Online Section 2. Fall 2020, Monday, 6:00 PM, Online Course Description Deep learning is a group of exciting new technologies for neural networks. Through a combination of advanced training techniques and neural network architectural components, it is now possible to create neural networks that can handle tabular data, images, text, and audio as both input and output. Deep learning allows a neural network to learn hierarchies of information in a way that is like the function of the human brain. This course will introduce the student to classic neural network structures, Convolution Neural Networks (CNN), Long Short-Term Memory (LSTM), Gated Recur... 地址：https://github.com/jeffheaton/t81_558_deep_learning 🤩Python随身听-技术精选： /wesm/pydata-book 👉Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media 😎TOPICS: `` ⭐️STARS：13389, 今日上升数↑:15 👉README： Python for Data Analysis, 2nd Edition Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media [Buy the book on Amazon][1] 1st Edition Readers If you are reading the [1st Edition][1] (published in 2012), please find the reorganized book materials on the [`1st-edition` branch][2]. Translations [Chinese][3] by Xu Liang IPython Notebooks: Chapter 2: Python Language Basics, IPython, and Jupyter Notebooks Chapter 3: Built-in Data Structures, Functions, and Files Chapter 4: NumPy Basics: Arrays and Vectorized Computation [Chapter 5: Getting Started with pandas](h... 地址：https://github.com/wesm/pydata-book 🤩Python随身听-技术精选： /mml-book/mml-book.github.io 👉Companion webpage to the book "Mathematics For Machine Learning" 😎TOPICS: `` ⭐️STARS：7354, 今日上升数↑:20 👉README： mml-book.github.io Companion webpage to the book "Mathematics For Machine Learning" https://mml-book.com Copyright 2020 by Marc Peter Deisenroth, A Aldo Faisal, and Cheng Soon Ong. To be published by Cambridge University Press. We are in the process of writing a book on Mathematics for Machine Learning that motivates people to learn mathematical concepts. The book is not intended to cover advanced machine learning techniques because there are already plenty of books doing... 地址：https://github.com/mml-book/mml-book.github.io 🤩Python随身听-技术精选： /codebasics/py 👉Repository to store sample python programs for python learning 😎TOPICS: `python,pandas,pandas-dataframe,pandas-tutorial,numpy,numpy-arrays,numpy-tutorial,python-tutorial,python-tutorials,python-pandas,jupyter-notebook,jupyter,jupyter-notebooks,jupyter-tutorial` ⭐️STARS：1155, 今日上升数↑:11 👉README： py Repository to store sample python programs for python learning Yo... 地址：https://github.com/codebasics/py 🤩Python随身听-技术精选： /jantic/DeOldify 👉A Deep Learning based project for colorizing and restoring old images (and video!) 😎TOPICS: `` ⭐️STARS：11631, 今日上升数↑:42 👉README： DeOldify Quick Start: The easiest way to colorize images using DeOldify (for free!) is here: DeOldify Image Colorization on DeepAI The most advanced version of DeOldify image colorization is available here, exclusively. Try a few images for free! MyHeritiage In Color Image (artistic) \| Video NEW Having trouble with the default image colorizer, aka "artistic"? Try the "stable" one below. It generally won't produce colors that are as interesting as "artistic", but the glitches are noticeably reduced. Image (stable) [<img src="https://co... 地址：https://github.com/jantic/DeOldify