:memo: An awesome Data Science repository to learn and apply for real world problems.
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.
Research and development (R&D) is crucial for the enhancement of industrial productivity, especially in the AI era, where the core aspects of R&D are mainly focused on data and models. We are committed to automating these high-value generic R&D processes through R&D-Agent, which lets AI drive data-driven AI. πhttps://aka.ms/RD-Agent-Tech-Report
A unified framework for machine learning with time series
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.
A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.
π Collection of Kaggle Solutions and Ideas π
π :bar_chart: :bulb: Orange: Interactive data analysis
Free, open-source crypto trading bot, automated bitcoin / cryptocurrency trading software, algorithmic trading bots. Visually design your crypto trading bot, leveraging an integrated charting system, data-mining, backtesting, paper trading, and multi-server crypto bot deployments.
A library of extension and helper modules for Python's data analysis and machine learning libraries.
extract text from any document. no muss. no fuss.
Curated list of Python resources for data science.
STUMPY is a powerful and scalable Python library for modern time series analysis
An open source alternative to Tableau. Embeddable visual analytic
Python library and CLI for X/Twitter scraping with multi-account rotation and built-in rate-limit handling.
Extract structured data from PDF invoices
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
Comprehensive and timely academic information on federated learning (papers, frameworks, datasets, tutorials, workshops)
A Deep Learning Python Toolkit for Healthcare Applications.
Multi-class confusion matrix library in Python
UnityPy is python module that makes it possible to extract/unpack and edit Unity assets
A toolkit for time series machine learning and deep learning
AIL framework - Analysis Information Leak framework. Project moved to https://github.com/ail-project
:video_game: A curated list of awesome game datasets, and tools to artificial intelligence in games
Official public repository for PM4Py (Process Mining for Python) β an open-source library for exploring, analyzing, and optimizing business processes with Python.
AIL framework - Analysis Information Leak framework
[IEEE T-KDE 2026] Awesome Deep Graph Clustering is a collection of SOTA, novel deep graph clustering methods (papers, codes, and datasets).
GrimoireLab: platform for software development analytics and insights
Data mining for materials science
Jekyll-based static site for The Programming Historian
This repository contains a reading list of papers on Time Series Segmentation. This repository is still being continuously improved.
Desbordante is a high-performance data profiler that is capable of discovering many different patterns in data using various algorithms. It also allows to run data cleaning scenarios using these algorithms. Desbordante has a console version and an easy-to-use web application.
A Universal TUI Manual Viewer for CLI Tools in Rust