Top #neural-network Tools & Software

tensorflow

github

An Open Source Machine Learning Framework for Everyone

pytorch

github

Tensors and Dynamic neural networks in Python with strong GPU acceleration

annotated_deep_learning_paper_implementations

github

🧑‍🏫 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, ... 🧠

keras

github

Deep Learning for humans

spaCy

github

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

netron

github

Visualizer for neural network, deep learning and machine learning models

pytorch-tutorial

github

PyTorch Tutorial for Deep Learning Researchers

AI-Expert-Roadmap

github

Roadmap to becoming an Artificial Intelligence Expert in 2022

awesome-deep-learning

github

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

DeepSpeech

github

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.

handson-ml

github

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

Paddle

github

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）

pytorch-handbook

github

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

onnx

github

Open standard for machine learning interoperability

onnxruntime

github

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

video2x

github

A machine learning-based video super resolution and frame interpolation framework. Est. Hack the Valley II, 2018.

ml-agents

github

The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement learning and imitation learning.