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
An open source DevOps tool from the CNCF for packaging and versioning AI/ML models, datasets, code, and configuration into an OCI Artifact.
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.
A Lighting Pytorch Framework for Recommendation Models, Easy-to-use and Easy-to-extend.
Deep learning software to decode EEG, ECG or MEG signals
The Torch-MLIR project aims to provide first class support from the PyTorch ecosystem to the MLIR ecosystem.
PyTorch/TorchScript/FX compiler for NVIDIA GPUs using TensorRT
Deep learning framework for MRI reconstruction
TorchANI 2.0 is an open-source library that supports training, development, and research of ANI-style neural network interatomic potentials. It was originally developed and is currently maintained by the Roitberg group.
Nx-powered Neural Networks
LightGlue: Local Feature Matching at Light Speed (ICCV 2023)
DeepLPF (CVPR 2020): interpretable image enhancement with learned cubic, graduated and elliptical filters. pip install, then 'deeplpf enhance photo.jpg'.
A Python package that uses task-based neurons to build neural networks.
Scientific machine learning (SciML) benchmarks, AI for science, and (differential) equation solvers. Covers Julia, Python (PyTorch, Jax), MATLAB, R
Pre-built implicit layer architectures with O(1) backprop, GPUs, and stiff+non-stiff DE solvers, demonstrating scientific machine learning (SciML) and physics-informed machine learning methods
Clair3 - Symphonizing pileup and full-alignment for deep learning-based long-read variant calling
ProphitBet is a Machine Learning Soccer Bet prediction application. It analyzes the form of teams, computes match statistics and predicts the outcomes of a match using advanced Machine Learning (ML) methods. Additionally, it provides betting agents based on Deep Reinforcement Learning (DRL), which can learn optimal betting strategies.
A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
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
Class activation maps for your PyTorch models (CAM, Grad-CAM, Grad-CAM++, Smooth Grad-CAM++, Score-CAM, SS-CAM, IS-CAM, XGrad-CAM, Layer-CAM, Finer-CAM, LeGrad, RefineCAM)
Learning in infinite dimension with neural operators.
Brevitas: neural network quantization in PyTorch
Model Compression Toolkit (MCT) is an open source project for neural network model optimization under efficient, constrained hardware. This project provides researchers, developers, and engineers advanced quantization and compression tools for deploying state-of-the-art neural networks.
TensorLy: Tensor Learning in Python.
A free, open source, and privacy-focused browser extension to block “not safe for work” content built using TensorFlow.js.
24,545 repositories in the index in total.
