Popular GitHub Repositories for Neural Architectures

An Open Source Machine Learning Framework for Everyone

Tensors and Dynamic neural networks in Python with strong GPU acceleration

Deep Learning for humans

??? 60+ Implementations/tutorials of deep learning papers with side-by-side notes ?; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), ? reinforcement learning (ppo, dqn), capsnet, distillation, ... ?

Deepfakes Software For All

:robot: The free, Open Source alternative to OpenAI, Claude and others. Self-hosted and local-first. Drop-in replacement for OpenAI, running on consumer-grade hardware. No GPU required. Runs gguf, transformers, diffusers and many more models architectures. Features: Generate Text, Audio, Video, Images, Voice Cloning, Distributed, P2P inference

? Industrial-strength Natural Language Processing (NLP) in Python

PyTorch Tutorial for Deep Learning Researchers

Visualizer for neural network, deep learning and machine learning models

Roadmap to becoming an Artificial Intelligence Expert in 2022

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.

The most cited deep learning papers

A curated list of awesome Deep Learning tutorials, projects and communities.

Qdrant - High-performance, massive-scale Vector Database and Vector Search Engine for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/

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）

Graph Neural Network Library for PyTorch

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

?? Build multimodal AI applications with cloud-native stack

GUI for a Vocal Remover that uses Deep Neural Networks.

pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行