Best Open Source neural network Libraries
A curated list of the most popular GitHub repositories tagged with neural network. Select any project to visualize its architecture and dive into the codebase using RepoMind's AI engine.
#1tensorflow/tensorflow
An Open Source Machine Learning Framework for Everyone
#2pytorch/pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
#3explosion/spaCy
💫 Industrial-strength Natural Language Processing (NLP) in Python
#4lutzroeder/netron
Visualizer for neural network, deep learning and machine learning models
#5AMAI-GmbH/AI-Expert-Roadmap
Roadmap to becoming an Artificial Intelligence Expert in 2022
#6qdrant/qdrant
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/
#7ChristosChristofidis/awesome-deep-learning
A curated list of awesome Deep Learning tutorials, projects and communities.
#8ageron/handson-ml
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.
#9PaddlePaddle/Paddle
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)
#10Tencent/ncnn
ncnn is a high-performance neural network inference framework optimized for the mobile platform
#11zergtant/pytorch-handbook
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
#12onnx/onnx
Open standard for machine learning interoperability
#13tensorflow/tfjs
A WebGL accelerated JavaScript library for training and deploying ML models.
#14microsoft/CNTK
Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit
#15ujjwalkarn/Machine-Learning-Tutorials
machine learning and deep learning tutorials, articles and other resources
#16BrainJS/brain.js
🤖 GPU accelerated Neural networks in JavaScript for Browsers and Node.js
#17tracel-ai/burn
Burn is a next generation tensor library and Deep Learning Framework that doesn't compromise on flexibility, efficiency and portability.
#18microsoft/nni
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
#19janishar/mit-deep-learning-book-pdf
MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville
#20owainlewis/awesome-artificial-intelligence
A curated list of Artificial Intelligence (AI) courses, books, video lectures and papers.
#21MorvanZhou/tutorials
机器学习相关教程
#22rasbt/python-machine-learning-book
The "Python Machine Learning (1st edition)" book code repository and info resource
#23willwulfken/MidJourney-Styles-and-Keywords-Reference
A reference containing Styles and Keywords that you can use with MidJourney AI. There are also pages showing resolution comparison, image weights, and much more!
#24tflearn/tflearn
Deep learning library featuring a higher-level API for TensorFlow.
#25zyddnys/manga-image-translator
Translate manga/image 一键翻译各类图片内文字 https://cotrans.touhou.ai/ (no longer working)
#26Oneflow-Inc/oneflow
OneFlow is a deep learning framework designed to be user-friendly, scalable and efficient.
#27Hvass-Labs/TensorFlow-Tutorials
TensorFlow Tutorials with YouTube Videos
#28greyhatguy007/Machine-Learning-Specialization-Coursera
Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG
#29PaddlePaddle/models
Officially maintained, supported by PaddlePaddle, including CV, NLP, Speech, Rec, TS, big models and so on.
#30ml5js/ml5-library
Friendly machine learning for the web! 🤖