Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Core deep-learning frameworks and libraries for pretraining and distributed training.
Signals: deep-learning, neural-network, pytorch, tensorflow, jax, distributed-training, training, deepspeed
2,697 results
Scalable and user friendly neural :brain: forecasting algorithms.
Background Remover lets you Remove Background from images and video using AI with a simple command line interface that is free and open source.
Crater is a cloud-native AI training & inference platform.
Reliable, minimal and scalable library for pretraining foundation and world models
A python library for self-supervised learning on images.
深度学习辅助漫画翻译工具, 支持一键机翻和简单的图像/文本编辑 | Yet another computer-aided comic/manga translation tool powered by deeplearning
DeepInverse: a PyTorch library for solving imaging inverse problems using deep learning
Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai
The Torch-MLIR project aims to provide first class support from the PyTorch ecosystem to the MLIR ecosystem.
The "Python Machine Learning (1st edition)" book code repository and info resource
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）
A platform for reproducible world model research and evaluation
Comprehensive optical design, optimization, and analysis in Python, including GPU-accelerated and differentiable ray tracing via PyTorch.
Minimalist ML framework for Rust
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).
This repository contains demos I made with the Transformers library by HuggingFace.
A flexible, high-performance serving system for machine learning models
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
🐍 Geometric Computer Vision Library for Spatial AI
Physics-Informed Neural Networks (PINN) Solvers of (Partial) Differential Equations for Scientific Machine Learning (SciML) accelerated simulation
C++ image processing and machine learning library with using of SIMD: SSE, AVX, AVX-512, AMX for x86/x64, NEON, SVE for ARM, HVX for Hexagon
邱锡鹏《神经网络与深度学习》（蒲公英书）理论书 v2 与通识版
Library for Jacobian descent with PyTorch. It enables the optimization of neural networks with multiple losses (e.g. multi-task learning).
24,523 repositories in the index in total.
