100-Days-Of-ML-Code䏿–‡ç‰ˆ
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.
An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.
A library of extension and helper modules for Python's data analysis and machine learning libraries.
:red_circle: MiniSom is a minimalistic implementation of the Self Organizing Maps
Unsupervised time series anomaly detection library
Composable GAN framework with api and user interface
BFM_Zero: A Promptable Behavioral Foundation Model for Humanoid Control Using Unsupervised Reinforcement Learning
This repository contains a reading list of papers on Time Series Segmentation. This repository is still being continuously improved.
Perceptive behavioral foundation models for terrain-adaptive humanoid control: motion tracking, goal reaching, reward inference and teleoperation.
DataPredict ML Library: 100+ Lua Models for Deep Learning and Reinforcement Learning 2026