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An Open Source Machine Learning Framework for Everyone

Deep Learning for humans

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

We write your reusable computer vision tools. 💜

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

AI-Powered Photos App 🌈💎✨

TensorFlow code and pre-trained models for BERT

NVR with realtime local object detection for IP cameras

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.

🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator

100-Days-Of-ML-Code中文版

JavaScript API for face detection and face recognition in the browser and nodejs with tensorflow.js

深度学习入门教程, 优秀文章, Deep Learning Tutorial

:satellite: Simple and ready-to-use tutorials for TensorFlow

The Cloud Native AI Platform

Natural Language Processing Tutorial for Deep Learning Researchers

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

TensorFlow-based neural network library

Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)

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

Containers for machine learning

AutoML library for deep learning

TensorFlow Tutorials with YouTube Videos

Lab Materials for MIT 6.S191: Introduction to Deep Learning

All course materials for the Zero to Mastery Deep Learning with TensorFlow course.

MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.

T81-558: Keras - Applications of Deep Neural Networks @Washington University in St. Louis

ZenML 🙏: One AI Platform from Pipelines to Agents. https://zenml.io.

A general-purpose encoder-decoder framework for Tensorflow

Learning to See in the Dark. CVPR 2018

High-performance TensorFlow library for quantitative finance.

Deep Reinforcement Learning for Keras.

The central nervous system and backend orchestrator for Fractal. It handles multi-tenant task scheduling, real-time TFLOPs budgeting, and federated weight aggregation using FedAvg.

Pretrained model hub for Keras 3.