Roboparty / P-BFM
Perceptive behavioral foundation models for terrain-adaptive humanoid control: motion tracking, goal reaching, reward inference and teleoperation.
Roboparty / P-BFM
open-edge-platform / anomalib
An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.
rasbt / mlxtend
A library of extension and helper modules for Python's data analysis and machine learning libraries.
argilla-io / argilla
Argilla is a collaboration tool for AI engineers and domain experts to build high-quality datasets
lightly-ai / lightly
A python library for self-supervised learning on images.
LeCAR-Lab / BFM-Zero
BFM_Zero: A Promptable Behavioral Foundation Model for Humanoid Control Using Unsupervised Reinforcement Learning
jpmyrmecol / AMADEUS
Annotation-free multi-animal direction estimation using self-supervised learning
MLEveryday / 100-Days-Of-ML-Code
100-Days-Of-ML-Code中文版
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.
lightly-ai / lightly-train
All-in-one training for vision models (YOLO, ViTs, RT-DETR, DINOv3): pretraining, fine-tuning, distillation.
csinva / imodels
Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).
JustGlowing / minisom
:red_circle: MiniSom is a minimalistic implementation of the Self Organizing Maps
vturrisi / solo-learn
solo-learn: a library of self-supervised methods for visual representation learning powered by Pytorch Lightning
sintel-dev / Orion
Unsupervised time series anomaly detection library
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).
HyperGAN / HyperGAN
Composable GAN framework with api and user interface
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).
dipy / dipy
DIPY is the paragon 3D/4D+ medical imaging library in Python. Contains generic methods for spatial normalization, signal processing, machine learning, statistical analysis and visualization of medical images. Additionally, it contains specialized methods for computational anatomy including diffusion, perfusion and structural imaging.
lzz19980125 / awesome-time-series-segmentation-papers
This repository contains a reading list of papers on Time Series Segmentation. This repository is still being continuously improved.
NiluK / worldmodels101
Free interactive course on world models in AI. Nine visual chapters on prediction, latent dynamics, planning, JEPA, video models, and failure modes.
erolilhan / DataForge-Lua
DataPredict ML Library: 100+ Lua Models for Deep Learning and Reinforcement Learning 2026