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
Python library for time series forecasting using scikit-learn compatible models, statistical methods, and foundation models
🌊 Online machine learning in Python
A unified architecture deep learning framework designed specifically for ultra-large-scale sparse models.
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.
JAX-based neural network library
oneAPI Deep Neural Network Library (oneDNN)
🤗 image matching webui
YomiTokuはAIを活用した日本語文書解析エンジンを提供するPythonパッケージです。 Yomitoku is an AI-powered document image analysis package designed specifically for the Japanese language.
GeoAI: Artificial Intelligence for Geospatial Data
🔎 🖼️ 🔥PyTorch Toolbox for Image Quality Assessment, including PSNR, SSIM, LPIPS, FID, NIQE, NRQM(Ma), MUSIQ, TOPIQ, NIMA, DBCNN, BRISQUE, PI and more...
A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.
Streamlit — A faster way to build and share data apps.
Deep Learning Inferred Multiplex ImmunoFluorescence for IHC Image Quantification (https://deepliif.org) [Nature Machine Intelligence'22, CVPR'22, MICCAI'23, Histopathology'23, MICCAI'24]
fit piecewise linear data for a specified number of line segments
Tensorflow's Fairness Evaluation and Visualization Toolkit
XR Blocks is a lightweight WebXR + AI library for rapidly prototyping advanced AI + XR experiences.
GPU-Jupyter: Your GPU-accelerated JupyterLab with a rich data science toolstack, TensorFlow and PyTorch for your reproducible deep learning experiments.
MLeap: Deploy ML Pipelines to Production
A library for training and deploying machine learning models on Amazon SageMaker
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
⚡️SwanLab - an open-source, modern-design AI training tracking and visualization tool. Supports Cloud / Self-hosted use. Integrated with PyTorch / Transformers / verl / LLaMA Factory / ms-swift / Ultralytics / MMEngine / Keras etc.
A math workspace for screenshot OCR，Handwriting/PDF-to-LaTeX/Markdown，and Office-plugin editing，powered by MathCraft OCR and MathLive.
A tool for converting ONNX files to LiteRT/TFLite/TensorFlow, PyTorch native code (nn.Module), TorchScript (.pt), state_dict (.pt), Exported Program (.pt2), and Dynamo ONNX. It also supports direct conversion from LiteRT to PyTorch.
24,523 repositories in the index in total.
