sintel-dev / Orion
Unsupervised time series anomaly detection library
sintel-dev / Orion
open-edge-platform / geti
Build, train, optimize, and run computer vision models locally, from raw images to live inference. Open source, optimized for Intel XPU (CPU-only and CUDA also supported).
braindecode / braindecode
Deep learning software to decode EEG, ECG or MEG signals
PrunaAI / pruna
Pruna is a model optimization framework built for developers, enabling you to deliver faster, more efficient models with minimal overhead.
Capsize-Games / airunner
Offline inference engine for art, real-time voice conversations, LLM powered chatbots and automated workflows
Vincentqyw / image-matching-webui
π€ image matching webui
lucidrains / perceiver-pytorch
Implementation of Perceiver, General Perception with Iterative Attention, in Pytorch
openvinotoolkit / nncf
Neural Network Compression Framework for enhanced OpenVINOβ’ inference
aws / deep-learning-containers
One stop shop for running AI/ML on AWS.
lhotse-speech / lhotse
Tools for handling multimodal data in machine learning projects.
Toni-SM / skrl
Modular Reinforcement Learning (RL) library (implemented in PyTorch, JAX, and NVIDIA Warp) with support for Gymnasium/Gym, NVIDIA Isaac Lab, MuJoCo Playground and other environments
microsoft / Biodiversity
Microsoft AI for Good Lab β Biodiversity research hub. Open-source AI models, edge devices, and tools for biodiversity monitoring and conservation. Your source for MegaDetector, SPARROW, PytorchWildlife, Bioacoustics, and more.
google / jaxopt
Hardware accelerated, batchable and differentiable optimizers in JAX.
asreview / asreview
Active learning for systematic reviews
google-research / morph-net
Fast & Simple Resource-Constrained Learning of Deep Network Structure
microsoft / aurora
Implementation of the Aurora model for Earth system forecasting
yueliu1999 / Awesome-Deep-Graph-Clustering
[IEEE T-KDE 2026] Awesome Deep Graph Clustering is a collection of SOTA, novel deep graph clustering methods (papers, codes, and datasets).
keras-team / keras-hub
Pretrained model hub for Keras 3.
mir-group / nequip
NequIP is a code for building E(3)-equivariant interatomic potentials
AgileRL / AgileRL
The complete post-training stack for LLMs, plus RL for any problem. SFT, DPO and multi-turn agentic RL, with evolutionary hyperparameter optimization built in.
MushroomRL / mushroom-rl
Python library for Reinforcement Learning.
cvg / GeoCalib
GeoCalib: Learning Single-image Calibration with Geometric Optimization (ECCV 2024)
Project-MONAI / MONAILabel
MONAI Label is an intelligent open source image labeling and learning tool.
Natooz / MidiTok
MIDI / symbolic music tokenizers for Deep Learning models πΆ
mosecorg / mosec
A high-performance ML model serving framework, offers dynamic batching and CPU/GPU pipelines to fully exploit your compute machine
iMoonLab / DeepHypergraph
A pytorch library for graph and hypergraph computation.
MolecularAI / REINVENT4
AI molecular design tool for de novo design, scaffold hopping, R-group replacement, linker design and molecule optimization.
ritchieng / deep-learning-wizard
Open source guides/codes for mastering deep learning to deploying deep learning in production in PyTorch, Python, Apptainer, and more.
torchgeo / terratorch
A Python toolkit for fine-tuning Geospatial Foundation Models (GFMs).
LAMDA-Tabular / TALENT
A comprehensive toolkit and benchmark for tabular data learning, featuring 35+ deep methods, more than 10 classical methods, and 300 diverse tabular datasets.
insight-platform / Savant
Python Computer Vision & Video Analytics Framework With Batteries Included
deepinv / deepinv
DeepInverse: a PyTorch library for solving imaging inverse problems using deep learning
ra1nty / DXcam
A Python high-performance screen capture library for Windows using Desktop Duplication API - Updated 2026
pyg-team / pytorch-frame
Tabular Deep Learning Library for PyTorch
PINA-org / PINA
Physics-Informed Neural networks for Advanced modeling
bayesflow-org / bayesflow
A Python library for simulation-based inference with deep learning
fangvv / UAV-DDPG
Code for paper "Computation Offloading Optimization for UAV-assisted Mobile Edge Computing: A Deep Deterministic Policy Gradient Approach"
hailo-ai / hailo_model_zoo
The Hailo Model Zoo includes pre-trained models and a full building and evaluation environment
datawhalechina / deep-learning-notes
Personal deep learning study notes and tutorial-style notebooks
netket / netket
Machine learning algorithms for many-body quantum systems
Picovoice / speech-to-text-benchmark
speech to text benchmark framework
KarhouTam / FL-bench
Benchmark of federated learning. Dedicated to the community. π€
open-edge-platform / datumaro
Dataset Management Framework, a Python library and a CLI tool to build, analyze and manage Computer Vision datasets.
JordiCorbilla / stock-prediction-deep-neural-learning
Predicting stock prices using a TensorFlow LSTM (long short-term memory) neural network for times series forecasting
qdrant / quaterion
Blazing fast framework for fine-tuning similarity learning models
mahmoodlab / TRIDENT
Toolkit for large-scale whole-slide image processing.
metaopt / torchopt
TorchOpt is an efficient library for differentiable optimization built upon PyTorch.
talmolab / sleap
A deep learning framework for multi-animal pose tracking.
tomas-gajarsky / facetorch
Python library for analysing faces using PyTorch
wanshuiyin / ARIS-in-AI-Offer
Bilingual (δΈζ+EN) ML / LLM / diffusion / agent interview cheat sheets for AI η§ζ β generated by ARIS /interview-cheatsheet, rendered by /render-html into single-file HTML, reads anywhere β plus a CVβDBLP-fact-checked academic homepage generator and hand-authored long-form blogs π±
remyxai / VQASynth
Compose multimodal datasets πΉ
Ascend / pytorch
Ascend PyTorch adapter (torch_npu). Mirror of https://gitcode.com/Ascend/pytorch
lucidrains / pi-zero-pytorch
Implementation of Οβ, the robotic foundation model architecture proposed by Physical Intelligence
Kaixhin / imitation-learning
Imitation learning algorithms
TissueImageAnalytics / tiatoolbox
Computational Pathology Toolbox developed by TIA Centre, University of Warwick.
aleximmer / Laplace
Laplace approximations for Deep Learning.
supervisely / supervisely
Supervisely SDK for Python - convenient way to automate, customize and extend Supervisely Platform for your computer vision task
kimtth / software-architect-mindmap
π§ Mindmap of πΊοΈSoftware Architecture, Software engineering: An Overview of Software Terminologies and Concepts.
aws / sagemaker-training-toolkit
Train machine learning models within a π³ Docker container using π§ Amazon SageMaker.
triton-inference-server / model_analyzer
Triton Model Analyzer is a CLI tool to help with better understanding of the compute and memory requirements of the Triton Inference Server models.