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
2,672 results
Learning in infinite dimension with neural operators.
A deep learning package for many-body potential energy representation and molecular dynamics
Efficiently computes derivatives of NumPy code.
Deep Learning for humans
Open Machine Learning course
A python library for self-supervised learning on images.
Deep learning quantum Monte Carlo for electrons in real space
Comprehensive optical design, optimization, and analysis in Python, including GPU-accelerated and differentiable ray tracing via PyTorch.
This repository is a curated collection of hands-on data science projects tailored for beginners. Whether you're just starting your journey in data science or looking to strengthen your skills, these projects provide a practical and interactive way to apply your knowledge.
🔎 🖼️ 🔥PyTorch Toolbox for Image Quality Assessment, including PSNR, SSIM, LPIPS, FID, NIQE, NRQM(Ma), MUSIQ, TOPIQ, NIMA, DBCNN, BRISQUE, PI and more...
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
Compact and Agent-Native MoE Training System
SeisBench - A toolbox for machine learning in seismology
FlagGems is an operator library for large language models implemented in the Triton Language.
Simplify your onnx model
Time series forecasting with PyTorch
Library for Jacobian descent with PyTorch. It enables the optimization of neural networks with multiple losses (e.g. multi-task learning).
Build your own X - Master machine learning by building everything from scratch. It aims to cover everything from linear regression to deep learning to large language models (LLMs).
Elegant and Performant Deep Learning
Learn how to develop, deploy and iterate on production-grade ML applications.
TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data
🐍 Geometric Computer Vision Library for Spatial AI
High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.
An open source DevOps tool from the CNCF for packaging and versioning AI/ML models, datasets, code, and configuration into an OCI Artifact.
24,540 repositories in the index in total.
