Python随身听-2020-10-01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左右发布（🤟），感谢订阅🆙和收藏☆。
（点击原文查看可点击的文档链接）

🤩Python随身听-技术精选： /anandpawara/Real_Time_Image_Animation

👉The Project is real time application in opencv using first order model
😎TOPICS: ``
⭐️STARS：2156, 今日上升数↑:102

👉README：

Real time Image Animation

The Project is real time application in opencv using first order model

Steps to setup

Step 1: Create virtual environment

Python version : python v3.7.3 or higher

create virual environment : pip install virtualenv

activate virtual environment : virtualenv env

Step 2: Activate virtual environment

For windows : env/Script/activate

For Linux : source env/bin/activate

Step 3 : Install required modules

Install modules : pip install -r requirements.txt

Install pytorch and torchvision : pip install torch===1.0.0 torchvision===0.2.1 -f https://download.pytorch.org/whl/cu100/torch_stable.html

Step 4 : Download cascade file ,weights and model and save in folder named extract

The file is also availible via direct link on Google's Drive:
https://drive.google.com/uc?id=1wCzJP1XJNB04vEORZvPjNz6drkXm5AUK

On Linux machine : unzip checkpoints.zip

If on windows platfrom unzip checkpoints.zi...

地址：https://github.com/anandpawara/Real_Time_Image_Animation

🤩Python随身听-技术精选： /apprenticeharper/DeDRM_tools

👉DeDRM tools for ebooks
😎TOPICS: ``
⭐️STARS：8438, 今日上升数↑:48

👉README：

DeDRM_tools

DeDRM tools for ebooks

This is a repository of all the scripts and other tools for removing DRM from ebooks that I could find, committed in date order as best as I could manage. (Except for the Requiem tools for Apple's iBooks, and Convert LIT for Microsoft's .lit ebooks.)

Mostly it tracks the tools released by Apprentice Alf, athough it also includes the individual tools and their histories from before Alf had a blog.

Users should download the latest zip archive.
Developers might be interested in forking the repository, as it contains unzipped versions of those tools that are zipped to make the changes over time easier to follow.

For the latest Amazon KFX format, users of the calibre plugin should also install the KFX Input p...

地址：https://github.com/apprenticeharper/DeDRM_tools

🤩Python随身听-技术精选： /donnemartin/system-design-primer

👉Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
😎TOPICS: programming,development,design,design-system,system,design-patterns,web,web-application,webapp,python,interview,interview-questions,interview-practice
⭐️STARS：108238, 今日上升数↑:220

👉README：

*English ∙ 日本語 ∙ 简体中文 ∙ 繁體中文 | العَرَبِيَّة‎ ∙ বাংলা ∙ Português do Brasil ∙ Deutsch ∙ ελληνικά ∙ עברית ∙ Italiano ∙ 한국어 ∙ فارسی ∙ Polski ∙ русский язык ∙ Español ∙ [...

地址：https://github.com/donnemartin/system-design-primer

🤩Python随身听-技术精选： /mingrammer/diagrams

👉🎨 Diagram as Code for prototyping cloud system architectures
😎TOPICS: diagram,diagram-as-code,drawing,architecture,prototyping
⭐️STARS：9408, 今日上升数↑:233

👉README：

Diagrams

Buy Me A Coffee

Diagram as Code.

Diagrams lets you draw the cloud system architecture in Python code. It was born for prototyping a new system architecture design without any design tools. You can also describe or visualize the existing system architecture as well. Diagrams currently supports main major providers including: AWS, Azure, GCP, Kubernetes, Alibaba Cloud, Oracle Cloud etc... It also supports On-Premise nodes, SaaS and major Programming frameworks and languages.

Diagram as Code also allows you to track the architecture diagram changes in any version control system.

NOTE: It does not control any actual cloud resources nor does it generate cloud formation or terr...

地址：https://github.com/mingrammer/diagrams

🤩Python随身听-技术精选： /facebookresearch/detr

👉End-to-End Object Detection with Transformers
😎TOPICS: ``
⭐️STARS：4825, 今日上升数↑:11

👉README：

DE⫶TR: End-to-End Object Detection with Transformers

PyTorch training code and pretrained models for DETR (DEtection TRansformer).
We replace the full complex hand-crafted object detection pipeline with a Transformer, and match Faster R-CNN with a ResNet-50, obtaining 42 AP on COCO using half the computation power (FLOPs) and the same number of parameters. Inference in 50 lines of PyTorch.

What it is. Unlike traditional computer vision techniques, DETR approaches object detection as a direct set prediction problem. It consists of a set-based global loss, which forces unique predictions via bipartite matching, and a Transformer encoder-decoder architecture.
Given a fixed small set of learned object queries, DETR reasons about the relations of the objects and the global image context to directly output the final set of predictions in parallel. Due to this parallel nature, DETR is very fast and efficient.

About the code. We believe that object detection should not be more...

地址：https://github.com/facebookresearch/detr

🤩Python随身听-技术精选： /google-research/football

👉Check out the new game server:
😎TOPICS: reinforcement-learning,reinforcement-learning-environments
⭐️STARS：2290, 今日上升数↑:14

👉README：

Google Research Football

This repository contains an RL environment based on open-source game Gameplay
Football.
It was created by the Google Brain team for research purposes.

Useful links:

地址：https://github.com/google-research/football

🤩Python随身听-技术精选： /domokane/FinancePy

👉A Python Finance Library that focuses on the pricing and risk-management of Financial Derivatives, including fixed-income, equity, FX and credit derivatives.
😎TOPICS: risk,pricing,risk-management,asset-allocation,finance,valuation,python,derivatives-pricing,numba,bonds,students,fixed-income,derivatives,investment,currency,credit
⭐️STARS：124, 今日上升数↑:38

👉README：

FinancePy

FinancePy is a python-based library that is currently in beta version. It covers the following functionality:

  • Valuation and risk models for a wide range of equity, FX, interest rate and credit derivatives.

Although it is written entirely in Python, it can achieve speeds comparable to C++ by using Numba. As a result the user has both the ability to examine the underlying code and the ability to perform pricing and risk at speeds which compare to a library written in C++.

The target audience for this library includes:

  • Students wishing to learn derivative pricing and Python.
  • Professors wishing to teach derivative pricing and Python.
  • Traders wishing to price or risk-manage a derivative.
  • Quantitative analysts seeking to price or reverse engineer a price.
  • Risk managers wishing to replicate and understand a price.
  • Portfolio managers wishing to check prices or calculate risk measures
  • Fund managers wanting to value a portfolio or examine a trading strategy
  • Structurers or financial e...

地址：https://github.com/domokane/FinancePy

🤩Python随身听-技术精选： /NVlabs/imaginaire

👉NVIDIA PyTorch GAN library with distributed and mixed precision support
😎TOPICS: ``
⭐️STARS：527, 今日上升数↑:201

👉README：

imaginaire_logo.svg

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

|Algorithm Name | Feature | Publication |
|:------------------...

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

🤩Python随身听-技术精选： /rvizzz/rotate

👉Create recursive image rotation animations
😎TOPICS: ``
⭐️STARS：100, 今日上升数↑:19

👉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.c...

地址：https://github.com/rvizzz/rotate

🤩Python随身听-技术精选： /home-assistant/core

👉🏡 Open source home automation that puts local control and privacy first
😎TOPICS: python,home-automation,iot,internet-of-things,mqtt,raspberry-pi,asyncio
⭐️STARS：35908, 今日上升数↑:46

👉README：

Home Assistant |Chat Status|

Open source home automation that puts local control and privacy first. Powered by a worldwide community of tinkerers and DIY enthusiasts. Perfect to run on a Raspberry Pi or a local server.

Check out home-assistant.io <https://home-assistant.io>__ for a demo <https://home-assistant.io/demo/>, installation instructions <https://home-assistant.io/getting-started/>,
tutorials <https://home-assistant.io/getting-started/automation-2/>__ and documentation <https://home-assistant.io/docs/>__.

|screenshot-states|

|screenshot-components|

The system is built using a modular approach so support for other devices or actions can be implemented easily. See also the `section on architecture <htt...

地址：https://github.com/home-assistant/core

🤩Python随身听-技术精选： /ytdl-org/youtube-dl

👉Command-line program to download videos from YouTube.com and other video sites
😎TOPICS: ``
⭐️STARS：71418, 今日上升数↑:30

👉README：

youtube-dl - download videos from youtube.com or other video platforms

INSTALLATION

To install it right away for all UNIX users (Linux, macOS, etc.), type:

sudo curl -L https://yt-dl.org/downloads/latest/youtube-dl -o /usr/local/bin/youtube-dl
sudo chmod a+rx /usr/local/bin/youtube-dl

If you do not have curl, you can alternatively use a recent wget:

sudo wget https://yt-dl.org/downloads/latest/youtube-dl -O /usr/local/bin/youtube-dl
sudo chmod a+rx /usr/local/bin/youtube-dl

Windows users can download an .exe file and place it in any location on their [PATH](...

地址：https://github.com/ytdl-org/youtube-dl

🤩Python随身听-技术精选： /zdyshine/RTC2020_EfficientSR

👉None
😎TOPICS: ``
⭐️STARS：59, 今日上升数↑:11

👉README：

RTC2020_EfficientSR FZU-CS510 冠军开源方案

比赛链接: https://www.dcjingsai.com/v2/cmptDetail.html?id=409
比赛团队(Team)：FZU-CS510
团队成员：福州大学甘敏教授团队的博士生苏建楠，帝视科技张东阳，澳门大学的博士后研究员陈光永，香港城市大学博士生诸汉炜等

方案分享

  1. 数据处理：png图片的不做处理，jpg的GT和LR全部是使用cv2默认的插值，做2倍降采样 (自己从test数据集找答案，或者讨论区交流)
  2. 最终使用MSE 作为loss训练，追求极致的PSNR指标
  3. 设计思想：降采样处理，减少多种降质之间的gap，同时在2GFlops下，尽可能的增加模型的参数，此外也要兼顾模型的Activations。

代码说明

文件夹的功能如下：
--pretrained-model 存放训练好的模型
--datasets 存放训练数据集和测试集
--results 存在测试的结果图片
--training 存在训练过程中保存的log信息和模...

地址：https://github.com/zdyshine/RTC2020_EfficientSR

🤩Python随身听-技术精选： /vt-vl-lab/FGVC

👉[ECCV 2020] Flow-edge Guided Video Completion
😎TOPICS: ``
⭐️STARS：206, 今日上升数↑:17

👉README：

[ECCV 2020] Flow-edge Guided Video Completion

[Paper] [Project Website] [Google Colab (coming soon)]

We present a new flow-based video completion algorithm. Previous flow completion methods are often unable to retain the sharpness of motion boundaries. Our method first extracts and completes motion edges, and then uses them to guide piecewise-smooth flow completion with sharp edges. Existing methods propagate colors among local flow connections between adjacent frames. However, not all missing regions in a video can be reached in this way because the motion boundaries form impenetrable barriers. Our method alleviates this problem by introducing non-local flow connections to temporally distant frames, enabling propagating video content over motion boundaries. We validate our approach on the DAVIS dataset. Both visual and quantitativ...

地址：https://github.com/vt-vl-lab/FGVC

🤩Python随身听-技术精选： /microsoft/qlib

👉Qlib is an AI-oriented quantitative investment platform, which aims to realize the potential, empower the research, and create the value of AI technologies in quantitative investment. With Qlib, you can easily try your ideas to create better Quant investment strategies.
😎TOPICS: quantitative-finance,machine-learning,stock-data,platform,finance,algorithmic-trading,python,investment
⭐️STARS：310, 今日上升数↑:36

👉README：

Qlib is an AI-oriented quantitative investment platform, which aims to realize the potential, empower the research, and create the value of AI technologies in quantitative investment.

With Qlib, you can easily try your ideas to create better Quant investment strategies.

For more details, please refer to our paper "Qlib: An AI-oriented Quantitative Investment Platform".

地址：https://github.com/microsoft/qlib

🤩Python随身听-技术精选： /parzulpan/real-live

👉A cross-platform network media aggregation application that supports online viewing or listening of live video, HD TV and radio stations. 一个跨平台的网络媒体聚合应用，支持直播视频，高清电视和广播电台的在线观看或收听。
😎TOPICS: cross-platform,media,livestream,live,live-video,hdtv,radio-station
⭐️STARS：549, 今日上升数↑:26

👉README：

RealLive

简体中文 | 繁体中文 | English

一个跨平台的网络媒体聚合应用，支持直播视频，高清电视和广播电台的在线观看或收听。

桌面端：

使用视频

为什么是它

它解决了什么？

  • 怀念电视和电台吗？它就能满足你；
  • 多种资源设置携带？它让你随时随地看；
  • 多个平台往返切换？它即能支持多个平台和频道。

它有什么特性？

  • 多端支持，包括 Linux、MacOS、Windows 等桌面端，Android、iOS 等移动端，Web 端，后端等；
  • 多平台和频道支持，只要能得到流媒体的数据均可以观看或收听，不断拓展更新中；
  • 支持查看热门直播、数据备份和恢复、笔记功能和各种偏好设置；

它未来会如何？

  • 打通各端数据，支持数据缓存和搜索引擎；
  • 持续更新各种平台或平台；
  • 支持机器翻译和智能字幕；
  • 更多功能和特性等待发掘。

快速开始

分支说明：

  • master 为保留分支
  • stable 为 Release 发布分支
  • dev 为一直开发的分支，欢迎大家 Fork 该分支

桌面端调试运行：

  1. 配置好 Python 开发环境，推荐 Python3.6+。

  2. 首次使用时，Fork 后 Clone 该项目，进入 src/real-live-desktop 桌面端项目文件夹，配置 DebugRun.sh后，然后运行 DebugRun.sh。

    git clone -b dev https://github.com/parzulpan/real-live.git
./DebugRun.sh

  3. 非首次使用时，即配置好环境后，直...

地址：https://github.com/parzulpan/real-live

🤩Python随身听-技术精选： /apache/airflow

👉Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
😎TOPICS: airflow,apache,apache-airflow,python,scheduler,workflow
⭐️STARS：18406, 今日上升数↑:17

👉README：

Apache Airflow

Apache Airflow (or simply Airflow) is a platform to programmatically author, schedule, and monitor workflows.

When workflows are defined as code, they become more maintainable, vers...

地址：https://github.com/apache/airflow

🤩Python随身听-技术精选： /ageron/handson-ml2

👉A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
😎TOPICS: ``
⭐️STARS：10431, 今日上升数↑:24

👉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 the second edition of my O'Reilly book Hands-on Machine Learning with Scikit-Learn, Keras and TensorFlow:

Note: If you are looking for the first edition notebooks, check out ageron/handson-ml.

Quick Start

Want to play with these notebooks online without having to install anything?

Use any of the following services.

WARNING: Please be aware that these services provide temporary environments: anything you do will be deleted after a while, so make sure you download any data you care about.

  • Recommended: open this repository in [Colaboratory](ht...

地址：https://github.com/ageron/handson-ml2

🤩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：12270, 今日上升数↑:18

👉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： /KaihuaTang/Long-Tailed-Recognition.pytorch

👉[NeurIPS 2020] This project provides a strong single-stage baseline for Long-Tailed Classification, Detection, and Instance Segmentation (LVIS). It is also a PyTorch implementation of the NeurIPS 2020 paper 'Long-Tailed Classification by Keeping the Good and Removing the Bad Momentum Causal Effect'.
😎TOPICS: ``
⭐️STARS：127, 今日上升数↑:15

👉README：

A Strong Single-Stage Baseline for Long-Tailed Problems

This project provides a strong single-stage baseline for Long-Tailed Classification (under ImageNet-LT, Long-Tailed CIFAR-10/-100 datasets), Detection, and Instance Segmentation (under LVIS dataset). It is also a PyTorch implementation of the NeurIPS 2020 paper Long-Tailed Classification by Keeping the Good and Removing the Bad Momentum Causal Effect, which proposes a general solution to remove the bad momentum causal effect for a variety of Long-Tailed Recognition tasks. The codes are organized into three folders:

  1. The classification folder supports long-tailed classification on ImageNet-LT, Long-Tailed CIFAR-10/CIFAR-100 datasets.
  2. The lvis_old folder (deprecated) supports long-tailed object detection and instance segmentation on LVIS V0.5 dataset, which is built on top of mmdet V1.1.
  3. The latest version of long-tailed detection and instance segmentation is under [lvis1.0...

地址：https://github.com/KaihuaTang/Long-Tailed-Recognition.pytorch

🤩Python随身听-技术精选： /geekquad/AlgoBook

👉A beginner-friendly project to help you in open-source contributions. Made specifically for contributions in HACKTOBERFEST 2020! Algorithms in Python and Machine Learning. Please leave a star ⭐ to support this project! ✨
😎TOPICS: hactoberfest,hactoberfest2020,first-timers,first-pull-request,first-pull-request-and-commit,first-contributions,good-first-issue,open-source,beginner,beginner-friendly,digitalocean,easy-to-use,github,up-for-grabs,machine-learning,python,python3,machinelearning,pr-welcome
⭐️STARS：39, 今日上升数↑:13

👉README：

A beginner friendly project to help you in open source contributions. An attempt to bring all the algorithms together.

Please see the Contributing Guidelines .

Join the community on Slack.

Overview

The goal of this project is to help the beginners with their contributions in Open Source and bring all the possible algorithms of Machine Learning and Python together. We aim to achieve this collaboratively, so feel free to contribute in any way you want, just make sure to follow the contribution guidelines.

For now, this repo is focused on the beginner friendly contributions in Hacktoberfest 2020.

The open source community provides a great opportunity for aspiring...

地址：https://github.com/geekquad/AlgoBook

🤩Python随身听-技术精选： /Mikoto10032/DeepLearning

👉深度学习入门教程, 优秀文章, Deep Learning Tutorial
😎TOPICS: deeplearning,cnn,rnn,gan,machine-learning,tensorflow,mxnet,deep-learning,machinelearning,pytorch,gcn,kaggle
⭐️STARS：3697, 今日上升数↑:11

👉README：

DeepLearning Tutorial

一. 入门资料

完备的 AI 学习路线，最详细的中英文资源整理 ⭐

AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NL

Machine-Learning

数学基础

机器学习基础

快速入门

地址：https://github.com/Mikoto10032/DeepLearning

🤩Python随身听-技术精选： /dafriedman97/mlbook

👉Repository for the free online book Machine Learning from Scratch (link below!)
😎TOPICS: ``
⭐️STARS：322, 今日上升数↑:41

👉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

posted @ 2020-10-05 10:43  DE8UG  阅读(765)  评论(0)  编辑  收藏  举报
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