All repos — GH Trending Explorer

Google DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.

Simplify your onnx model

LightLLM is a Python-based LLM (Large Language Model) inference and serving framework, notable for its lightweight design, easy scalability, and high-speed performance.

SwanHubX / SwanLab

⚡️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.

ourownstory / neural_prophet

NeuralProphet: A simple forecasting package

torchgeo / torchgeo

TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data

Lightning-AI / LitServe

A minimal Python framework for building custom AI inference servers with full control over logic, batching, and scaling.

lightly-ai / lightly

A python library for self-supervised learning on images.

sdv-dev / SDV

Synthetic data generation for tabular data

NVIDIA / physicsnemo

Open-source deep-learning framework for building, training, and fine-tuning deep learning models using state-of-the-art Physics-ML methods

pytorch / TensorRT

PyTorch/TorchScript/FX compiler for NVIDIA GPUs using TensorRT

linto-ai / whisper-timestamped

Multilingual Automatic Speech Recognition with word-level timestamps and confidence

qualcomm / aimet

AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.

meta-pytorch / torchrec

Pytorch domain library for recommendation systems

AIStream-Peelout / flow-forecast

Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).

Mukosame / Anime2Sketch

A sketch extractor for anime/illustration.

WenjieDu / PyPOTS

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

kotaro-kinoshita / yomitoku

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.

skforecast / skforecast

Python library for time series forecasting using scikit-learn compatible models, statistical methods, and foundation models

Tencent-Hunyuan / AuK

AuK: An Open-Source Foundational Model for Speech Generation and Editing

geomstats / geomstats

Computations and statistics on manifolds with geometric structures.

aeon-toolkit / aeon

A toolkit for time series machine learning and deep learning

winedarksea / AutoTS

Automated Time Series Forecasting

soda-inria / tabicl

TabICLv2: An open tabular foundation model

segment-any-text / wtpsplit

Toolkit to segment text into sentences or other semantic units in a robust, efficient and adaptable way.

NVIDIA / earth2studio

Open-source deep-learning framework for exploring, building and deploying AI weather/climate workflows.

drprojects / superpoint_transformer

Official PyTorch implementation of Superpoint Transformer [ICCV'23], SuperCluster [3DV'24 Oral], and EZ-SP [ICRA'26]

SakuraMathcraft / LaTeXSnipper

Formula Recognition & Office Editing | Handwriting & PDF to LaTeX/Markdown | Secure API Integrations.

NVIDIA / cudnn-frontend

cuDNN Frontend is NVIDIA's modern, open-source entry point to the cuDNN library and a growing collection of high-performance open-source kernels.

LibreYOLO / libreyolo

LibreYOLO is a MIT licensed open source computer vision library

jasmcaus / caer

High-performance Vision library in Python. Scale your research, not boilerplate.

DaoSword / Time-Series-Forecasting-and-Deep-Learning

Resources about time series forecasting and deep learning.

pymc-devs / pytensor

PyTensor allows you to define, optimize, and efficiently evaluate mathematical expressions involving multi-dimensional arrays.

roboflow / roboflow-python

The official Roboflow Python package. Manage your datasets, models, and deployments. Roboflow has everything you need to build a computer vision application.

albumentations-team / AlbumentationsX

Image augmentation for computer vision. AGPL-3.0-only or commercial licensing.

vdev-ctrl / Adaptive-Learnable-Hierarchical-Routing-

This repo is a alternative solution for standard self-attention. It uses tree routing with learnable functions for cheaper self-attention while not compromising accuracy.

explosion / spaCy

💫 Industrial-strength Natural Language Processing (NLP) in Python

Lightning-AI / pytorch-lightning

Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.

pyg-team / pytorch_geometric

Graph Neural Network Library for PyTorch

MLEveryday / 100-Days-Of-ML-Code

100-Days-Of-ML-Code中文版

recommenders-team / recommenders

Best Practices on Recommendation Systems

onnx / onnx

Open standard for machine learning interoperability

BlinkDL / RWKV-LM

RWKV (pronounced RwaKuv) is an RNN with great LLM performance, which can also be directly trained like a GPT transformer (parallelizable). We are at RWKV-7 "Goose". So it's combining the best of RNN and transformer - great performance, linear time, constant space (no kv-cache), fast training, infinite ctx_len, and free sentence embedding.

apache / tvm

Open Machine Learning Compiler Framework

ludwig-ai / ludwig

Low-code framework for building custom LLMs, neural networks, and other AI models

kornia / kornia

🐍 Geometric Computer Vision Library for Spatial AI

wandb / wandb

The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.

rushter / MLAlgorithms

Minimal and clean examples of machine learning algorithms implementations

triton-inference-server / server

The Triton Inference Server provides an optimized cloud and edge inferencing solution.

lucidrains / denoising-diffusion-pytorch

Implementation of Denoising Diffusion Probabilistic Model in Pytorch

ultralytics / yolov3

PyTorch implementation of YOLOv3, YOLOv3-SPP, and YOLOv3-tiny for real-time object detection with training, validation, inference, and multi-format export.

yzhao062 / pyod

A Python library for anomaly detection across tabular, time series, graph, text, image, and audio data. 60+ detectors, benchmark-backed ADEngine orchestration, and an agentic workflow for AI agents.