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
2,663 results
Machine learning on FPGAs using HLS
Probabilistic time series modeling in Python
Python code for "Probabilistic Machine learning" book by Kevin Murphy
Official code for MAMMA: Markerless Accurate Multi-person Motion Acquisition.
As the core component of the Huawei Ascend for PyTorch community, TorchNPU is a deep learning adapter plugin built by Ascend for PyTorch, enabling the PyTorch framework to directly invoke Ascend NPU and providing developers with the powerful compute capabilities of Ascend AI processors.
Graph-based weather forecasting models. Originally, PyTorch implementation of Ryan Keisler's 2022 "Forecasting Global Weather with Graph Neural Networks" paper (https://arxiv.org/abs/2202.07575)
Compact and Agent-Native MoE Training System
MiMo: Unlocking the Reasoning Potential of Language Model – From Pretraining to Posttraining
Master the fundamentals of machine learning, deep learning, and mathematical optimization by building key concepts and models from scratch using Python.
Elegant easy-to-use neural networks + scientific computing in JAX. https://docs.kidger.site/equinox/
DAMO-ConvAI: The official repository which contains the codebase for Alibaba DAMO Conversational AI.
The Art of Debugging Open Book
MONAI Tutorials
Deep Learning and deep reinforcement learning research papers and some codes
Kubernetes Operator for MPI-based applications (distributed training, HPC, etc.)
A course in reinforcement learning in the wild
A curated list of artificial intelligence resources (Courses, Tools, App, Open Source Project)
This is a resouce list for low light image enhancement
Graph Neural Networks in Julia
Rumale is a machine learning library in Ruby
A Julia machine learning framework
This project contains some deep learning code
Minimalistic large language model 3D-parallelism training
Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
24,545 repositories in the index in total.
