🤗 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 code and pre-trained models for BERT

Ray is an AI compute engine. 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.

Deezer source separation library including pretrained models.

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

We write your reusable computer vision tools. 💜

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

🤗 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

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

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

Convert Machine Learning Code Between Frameworks

Face recognition using Tensorflow

Annotate better with CVAT, the industry-leading data engine for machine learning. Used and trusted by teams at any scale, for data of any scale.

机器学习相关教程

一款入门级的人脸、视频、文字检测以及识别的项目.

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