Frouros: an open-source Python library for drift detection in machine learning systems.

😎 A curated list of awesome MLOps tools

Algorithms for outlier, adversarial and drift detection

A curated list of topological data analysis (TDA) resources and links.

TopoBench is a Python library designed to standardize benchmarking and accelerate research in Topological Deep Learning

Topological Data Analysis for Python🐍

A high-performance topological machine learning toolbox in Python

An open-source framework for self-supervised recommender systems.

A Comparative Framework for Multimodal Recommender Systems

NVTabular is a feature engineering and preprocessing library for tabular data designed to quickly and easily manipulate terabyte scale datasets used to train deep learning based recommender systems.

trackintel is a framework for spatio-temporal analysis of movement trajectory and mobility data.

OpenSTL: A Comprehensive Benchmark of Spatio-Temporal Predictive Learning

Time series analysis suite

Quick and Easy Time Series Outlier Detection

TemporAI: ML-centric Toolkit for Medical Time Series

ClaSPy: A Python package for time series segmentation.

Evaluation Tool for Anomaly Detection Algorithms on Time Series

A python package for time series forecasting with scikit-learn estimators.

Anomaly Detection for time series data

ProbTS is a benchmarking toolkit for time series forecasting.

An open source library for Fuzzy Time Series in Python

A Full-Pipeline Automated Time Series (AutoTS) Analysis Toolkit.

Digital signal processing for neural time series.

A professionally curated list of awesome resources (paper, code, data, etc.) on Self-Supervised Learning for Time Series (SSL4TS).

RevIN: Reversible Instance Normalization For Accurate Time-series Forecasting Against Distribution Shift

Tidy time series forecasting

Repository of the paper "A Systematic Evaluation of Deep Anomaly Detection Methods for Time Series".

A deep learning tool for time series classification and regression

TimeCopilot: the GenAI Forecasting Agent. Built on LLMs and Time Series Foundation Models, it lets you forecast, cross-validate, and detect anomalies using multiple foundation models through a sing…