📚 Freely available programming books

AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.

🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.

Models and examples built with TensorFlow

《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。

🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…

Deep Learning for humans

Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

TensorFlow code and pre-trained models for BERT

Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.

基于Python的开源量化交易平台开发框架

PyTorch Tutorial for Deep Learning Researchers

The OWASP Cheat Sheet Series was created to provide a concise collection of high value information on specific application security topics.

Python Fire is a library for automatically generating command line interfaces (CLIs) from absolutely any Python object.

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

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

Image-to-Image Translation in PyTorch

PyTorch implementations of Generative Adversarial Networks.

Never use print for debugging again

Image augmentation for machine learning experiments.

A list of all named GANs!

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

Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

Open deep learning compiler stack for cpu, gpu and specialized accelerators

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

TensorFlow-based neural network library

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

Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.

Keras implementations of Generative Adversarial Networks.

Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.