An Open Source Machine Learning Framework for Everyone

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

Deep Learning for humans

Clone a voice in 5 seconds to generate arbitrary speech in real-time

TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

TensorFlow code and pre-trained models for BERT

🥇掘金翻译计划，可能是世界最大最好的英译中技术社区，最懂读者和译者的翻译平台：

AI-Powered Photos App for the Decentralized Web 🌈💎✨

Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

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.

Visualizer for neural network, deep learning and machine learning models

⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.

Deezer source separation library including pretrained models.

DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices ranging from a Raspberry Pi 4 to high power GPU servers.

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

100-Days-Of-ML-Code中文版

ncnn is a high-performance neural network inference framework optimized for the mobile platform

🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools

Open standard for machine learning interoperability