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

Deepfakes Software For All

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

《动手学深度学习》：面向中文读者、能运行、可讨论。英文版即伯克利“深度学习导论”教材。

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.

💫 Industrial-strength Natural Language Processing (NLP) with Python and Cython

Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.

PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）

Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.

ChatterBot is a machine learning, conversational dialog engine for creating chat bots

Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.

Image augmentation for machine learning experiments.

💬 Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management, connect to Slack, Facebook, and more - Create chatbots and voice assistants

This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.

Deep learning library featuring a higher-level API for TensorFlow.

A very simple framework for state-of-the-art Natural Language Processing (NLP)

NLTK Source

A list of all named GANs!

Machine learning, in numpy

A curated list of awesome Amazon Web Services (AWS) libraries, open source repos, guides, blogs, and other resources. Featuring the Fiery Meter of AWSome.

TensorFlow-based neural network library

机器学习相关教程

Ready-to-use OCR with 40+ languages supported including Chinese, Japanese, Korean and Thai

Best Practices on Recommendation Systems