Python随身听-2020-10-03-技术精选

Python随身听-2020-10-03-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☆。
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🤩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：3697, 今日上升数↑:178

👉README：

https://github.com/huggingface/datasets

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🤩Python随身听-技术精选： /OndrejTexler/Few-Shot-Patch-Based-Training

👉The official implementation of our SIGGRAPH 2020 paper Interactive Video Stylization Using Few-Shot Patch-Based Training

😎TOPICS: deep-learning,generative-adversarial-network,style-transfer,gan,image-generation,image-to-image-translation

⭐️STARS：188, 今日上升数↑:40

👉README：

Interactive Video Stylization Using Few-Shot Patch-Based Training

The official implementation of

Interactive Video Stylization Using Few-Shot Patch-Based Training

O. Texler, D. Futschik,
M. Kučera, O. Jamriška,
Š. Sochorová, M. Chai,
S. Tulyakov, and D. Sýkora

[WebPage],
[Paper],
[BiBTeX]

Run

Download the testing-data.zip, and unzip. The _train folder is expected to be next to the _gen folder.

Pre-Trained models

I...

地址：https://github.com/OndrejTexler/Few-Shot-Patch-Based-Training

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

👉My Python Examples

😎TOPICS: ``

⭐️STARS：18807, 今日上升数↑:23

👉README：

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 at craig@geekcomputers.co.uk.

These scripts contain important functions which help reduce human workload.
Code documentation is aligned correctly when the files are viewed in Notepad++.

• batch_file_rename.py - This batch renames a group of files in a given directory, once you pass the current and the new extensions.

• create_dir_if_not_there.py - Checks to see if a directory exists in the users home directory. If a directory does not exist, then one will be created.

• [Fast Youtube Downlo...

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

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🤩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

⭐️STARS：86340, 今日上升数↑:56

👉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

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🤩Python随身听-技术精选： /philippnormann/nvidia-sniper

👉🎯 Autonomously buy Nvidia Founders Edition GPUs as soon as they become available

😎TOPICS: nvidia,bot,checkout,sniper,automation,selenium

⭐️STARS：66, 今日上升数↑:13

👉README：

This bot helps us buy Nvidia Founders Edition GPUs as soon as they become available.

Features

• Continuously monitor the availability of target GPU on www.nvidia.com
• Automatically checkout item using PayPal or as guest (credit card)
• Automatically submit the order for credit card payment
• Support for multiple locales (as defined in config/customer.json)
• Support for multiple GPUs (as defined in data/gpus.json)

Contents

• Features
• Supported GPUs
• Installation
  • Linux (Ubuntu)
  • Mac
  • Windows
  • CAPTCHA
• Updating
• Usage
• Configuration

Supported GPUs

• GeForce RTX 3090
• GeForce RTX 3080
• GeForce RTX 3070
• NVIDIA TITAN RTX
• GeForce RTX 2080 Super
• GeForce RTX 2070 Super
• GeForce RTX 2060 Super

Installation

To run the bot, we need the following things:

• Pyth...

地址：https://github.com/philippnormann/nvidia-sniper

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🤩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：2304, 今日上升数↑:38

👉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

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

👉Check out the new game server:

😎TOPICS: reinforcement-learning,reinforcement-learning-environments

⭐️STARS：2317, 今日上升数↑:15

👉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:

• (NEW!) GRF Kaggle competition - take part in the competition playing games against others, win prizes and become the GRF Champion!
• GRF Game Server - challenge other researchers!
• Run in Colab - start training in less that 2 minutes.
• Google Research Football Paper
• GoogleAI blog post
• Google Research Football on Cloud
• [Mailing List](https://groups.google.com/forum/#!forum/google-res...

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

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🤩Python随身听-技术精选： /public-apis/public-apis

👉A collective list of free APIs for use in software and web development.

😎TOPICS: ``

⭐️STARS：97340, 今日上升数↑:64

👉README：

A collective list of free APIs for use in software and web development.

A public API for this project can be found here!

For information on contributing to this project, please see the contributing guide.

Please note a passing build status indicates all listed APIs are available since the last update. A failing build status indicates that 1 or more services may be unavailable at the moment.

Index

• Animals
• Anime
• Anti-Malware
• Art & Design
• Books
• Business
• Calendar
• Cloud Storage & File Sharing
• Continuous Integration
• Cryptocurrency
• Currency Exchange
• Data Validation
• Development
• Dictionaries
• Documents & Productivity
• [Environment](#environm...

地址：https://github.com/public-apis/public-apis

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🤩Python随身听-技术精选： /Py-Contributors/AlgorithmsAndDataStructure

👉Algorithms And DataStructure Implemented In Python & CPP, Give a Star 🌟If it helps you

😎TOPICS: data-structures,algorithms-and-data-structures,python-data-structures,python-algorithms,machine-learning-algorithms,deep-learning-algorithms,recursion-algorithm,backtracking-algorithm,codeperfectplus,linkedlist,algorithm,computer-science,cpp,python

⭐️STARS：161, 今日上升数↑:43

👉README：

👉 A Collection of Algorithm And Data Structures in Cpp and Python 👈

https://github.com/Py-Contributors/AlgorithmsAndDataStructure

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🤩Python随身听-技术精选： /OpenMined/PySyft

👉A library for answering questions using data you cannot see

😎TOPICS: deep-learning,secure-computation,pytorch,privacy,cryptography,python,syft,federated-learning

⭐️STARS：6320, 今日上升数↑:34

👉README：

Introduction

PySyft is a Python library for secure and private Deep Learning. PySyft decouples private data from model training, using
Federated Learning,
Differential Privacy,
and Encrypted Computation (like
Multi-Party Computation (MPC)
and Homomorphic Encryption (HE))
within the main Deep Learning frameworks like PyTorch and TensorFlow. Join the movement on
Slack.

PySyft in Detail

A more detailed explanation of PySyft can be found in the
white paper on Arxiv

PySyft has also been explained in videos on YouTube:

• Introduction to Privacy Preserving AI using PySyft by @iamtrask
• [Introduction to PySyft codebase by @andreiliphd](https://...

地址：https://github.com/OpenMined/PySyft

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🤩Python随身听-技术精选： /great-expectations/great_expectations

👉Always know what to expect from your data.

😎TOPICS: pipeline-tests,dataquality,datacleaning,datacleaner,data-science,data-profiling,pipeline,pipeline-testing,cleandata,dataunittest,data-unit-tests,eda,exploratory-data-analysis,exploratory-analysis,exploratorydataanalysis,data-quality,data-engineering,pipeline-debt,data-profilers,mlops

⭐️STARS：2757, 今日上升数↑:27

👉README：

Great Expectations

Always know what to expect from your data.

Introduction

Great Expectations helps data teams eliminate pipeline debt, through data testing, documentation, and profiling.

Software developers have long known that testing and documentation are essential for managing complex codebases. Great Expectations brings the same confidence, integrity, and acceleration to data science and data engineering teams.

See Down with Pipeline Debt! for an introduction to the philosophy of pipeline testing.

Scripts 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 as well.

Note: 100 Ideas implemented using python List available Here

Steps To Follow

• Select an issue and ask to be assigned to it.

• Check existing scripts project here.

• Star the repository.

• On the GitHub page for this repository, click on the Button "Fork".

• Create clone your forked repository on your local machine.

  For example, run this command inside your terminal:

  git clone https://github.com/<your-github-username>/Python_and_the_Web.git
  

  Replace <your-github-username>!

  Learn more about [forking](...

地址：https://github.com/Python-World/Python_and_the_Web

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