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
Tools for handling multimodal data in machine learning projects.
TorchXRayVision: A library of chest X-ray datasets and models. Classifiers, segmentation, and autoencoders.
A Python toolkit/library for reality-centric machine/deep learning & data mining on partially-observed time series, with 50+ SOTA neural network models for scientific analysis tasks (imputation, classification, clustering, forecasting, anomaly detection, cleaning) on incomplete industrial irregularly-sampled multivariate TS with NaN missing values
A lightweight library for PyTorch training tools and utilities
🤖 Machine Learning Summer School Guide
[NeurIPS 2025 D&B Spotlight] Scaling Data for SWE-agents
Train speculative decoding models effortlessly and port them smoothly to SGLang serving.
Massively parallel training of machine-learning based weather and climate models
ML-capsule is a Project for beginners and experienced data science Enthusiasts who don't have a mentor or guidance and wish to learn Machine learning. Using our repo they can learn ML, DL, and many related technologies with different real-world projects and become Interview ready.
:earth_americas: machine learning tutorials (mainly in Python3)
pyKT: A Python Library to Benchmark Deep Learning based Knowledge Tracing Models
An open-source Python framework for hybrid quantum-classical machine learning.
Deep learning toolkit-enabled VLSI placement
Convert Machine Learning Code Between Frameworks
T81-558: PyTorch - Applications of Deep Neural Networks, Washington University in St. Louis
A universal scalable machine learning model deployment solution
Open deep learning compiler stack for Kendryte AI accelerators ✨
【PyTorch】Easy-to-use,Modular and Extendible package of deep-learning based CTR models.
A framework for high-performance medical image processing, neural network inference and visualization
Elegant easy-to-use neural networks + scientific computing in JAX. https://docs.kidger.site/equinox/
Nx-powered Neural Networks
A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
Multi-class confusion matrix library in Python
FAIR Sequence Modeling Toolkit 2
24,523 repositories in the index in total.
