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adanet icon adanet

Fast and flexible AutoML with learning guarantees.

ai-blocks icon ai-blocks

A powerful and intuitive WYSIWYG interface that allows anyone to create Machine Learning models!

algorithm_interview_notes-chinese icon algorithm_interview_notes-chinese

2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记

awesome-jupyter icon awesome-jupyter

A curated list of awesome Jupyter projects, libraries and resources

awesome-python-login-model icon awesome-python-login-model

😮python模拟登陆一些大型网站,还有一些简单的爬虫,希望对你们有所帮助❤️,如果喜欢记得给个star哦🌟

awesome-pytorch-list icon awesome-pytorch-list

A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

bert icon bert

TensorFlow code and pre-trained models for BERT

codelf icon codelf

Best GitHub stars, repositories tagger and organizer. Search over projects from Github, Bitbucket, Google Code, Codeplex, Sourceforge, Fedora Project, GitLab to find real-world usage variable names

cola icon cola

A high-level distributed crawling framework.

cs-notes icon cs-notes

:books: Computer Science Learning Notes

cs229t icon cs229t

Statistical Learning Theory (CS229T) Lecture Notes

deoldify icon deoldify

A Deep Learning based project for colorizing and restoring old images

face_classification icon face_classification

Real-time face detection and emotion/gender classification using fer2013/imdb datasets with a keras CNN model and openCV.

face_recognition icon face_recognition

The world's simplest facial recognition api for Python and the command line

facets icon facets

Visualizations for machine learning datasets

fairseq icon fairseq

Facebook AI Research Sequence-to-Sequence Toolkit

faiss icon faiss

A library for efficient similarity search and clustering of dense vectors.

fashion-mnist icon fashion-mnist

A MNIST-like fashion product database. Benchmark :point_right:

fast-mail-bomber icon fast-mail-bomber

Fast, multithreading, efficient and easy-to-use mail bombing/spamming tool. Sending mails via mailman services hosted by different providers.

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