An Open Source Machine Learning Framework for Everyone
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Deep Learning for humans
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/
💫 Industrial-strength Natural Language Processing (NLP) in Python
Visualizer for neural network, deep learning and machine learning models
Latex code for making neural networks diagrams
Graph Neural Network Library for PyTorch
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)
ncnn is a high-performance neural network inference framework optimized for the mobile platform
Learn OpenCV : C++ and Python Examples
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
⚡ Automatically decrypt encryptions without knowing the key or cipher, decode encodings, and crack hashes ⚡
Open standard for machine learning interoperability
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.
A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
Burn is a next generation tensor library and Deep Learning Framework that doesn't compromise on flexibility, efficiency and portability.
Offline speech recognition API for Android, iOS, Raspberry Pi and servers with Python, Java, C# and Node
The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.
Low-code framework for building custom LLMs, neural networks, and other AI models
🐍 Geometric Computer Vision Library for Spatial AI
Minimal and clean examples of machine learning algorithms implementations
Translate manga/image 一键翻译各类图片内文字 https://cotrans.touhou.ai/ (no longer working)
Techniques for deep learning with satellite & aerial imagery
TensorFlow-based neural network library
A collection of tutorials on state-of-the-art computer vision models and techniques. Explore everything from foundational architectures like ResNet to cutting-edge models like RF-DETR, YOLO11, SAM 3, and Qwen3-VL.
Efficiently computes derivatives of NumPy code.
A flexible, high-performance serving system for machine learning models
TensorFlow documentation
An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.
A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.
A C++ standalone library for machine learning
Probabilistic time series modeling in Python
A PyTorch Library for Accelerating 3D Deep Learning Research
On-device AI across mobile, embedded and edge for PyTorch
links to conference publications in graph-based deep learning
Time series forecasting with PyTorch
An Engine-Agnostic Deep Learning Framework in Java
High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.
Relax! Flux is the ML library that doesn't make you tensor
Google DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.
Fast inference engine for Transformer models
RuVector provides High Performance, Real-Time decisions and agent memory , Self-Learning Ai, Vector GNN DB built in Rust.
Lightning fast C++/CUDA neural network framework
[ICCV 2019] Monocular depth estimation from a single image
Probabilistic reasoning and statistical analysis in TensorFlow
NeuralProphet: A simple forecasting package
Scalable and user friendly neural :brain: forecasting algorithms.
DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA sequencing data.
Evaluation and Tracking for LLM Experiments and AI Agents
🔨 🍇 💻 🚀 GraphScope: A One-Stop Large-Scale Graph Computing System from Alibaba | 一站式图计算系统
PennyLane is an open-source quantum software platform for quantum computing, quantum machine learning, and quantum chemistry. Create meaningful quantum algorithms, from inspiration to implementation.
Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
JAX-based neural network library
Open source neural network chess engine with GPU acceleration and broad hardware support.
The Compute Library is a set of computer vision and machine learning functions optimised for both Arm CPUs and GPUs using SIMD technologies.
Distributed LLM inference. Connect home devices into a powerful cluster to accelerate LLM inference. More devices means faster inference.
Tiny, no-nonsense, self-contained, Tensorflow and ONNX inference
AI Roadmap:机器学习(Machine Learning)、深度学习(Deep Learning)、对抗神经网络(GAN),图神经网络(GNN),NLP,大数据相关的发展路书(roadmap), 并附海量源码(python,pytorch)带大家消化基本知识点,突破面试,完成从新手到合格工程师的跨越,其中深度学习相关论文附有tensorflow caffe官方源码,应用部分含推荐算法和知识图谱