Data Mining GitHub Repositories

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.

Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.

: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.

Topic Modelling for Humans

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. 🔗https://aka.ms/RD-Agent-Tech-Report

人工智能学习路线图，整理近200个实战案例与项目，免费提供配套教材，零基础入门，就业实战！包括：Python，数学，机器学习，数据分析，深度学习，计算机视觉，自然语言处理，PyTorch tensorflow machine-learning,deep-learning data-analysis data-mining mathematics data-science artificial-intelligence python tensorflow tensorflow2 caffe keras pytorch algorithm numpy pandas matplotlib seaborn nlp cv等热门领域

The "Python Machine Learning (1st edition)" book code repository and info resource

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 unified framework for machine learning with time series

Anomaly detection related books, papers, videos, and toolboxes. Last update late 2025 for LLM and VLM works!

:octocat: Machine Learning for Cyber Security

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.

🏅 Collection of Kaggle Solutions and Ideas 🏅

🍊 :bar_chart: :bulb: Orange: Interactive data analysis

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.

Alink is the Machine Learning algorithm platform based on Flink, developed by the PAI team of Alibaba computing platform.

An open source alternative to Tableau. Embeddable visual analytic

List of tools & datasets for anomaly detection on time-series data.

Computer vision assisted tool to extract numerical data from plot images.

Highly cited and useful papers related to machine learning, deep learning, AI, game theory, reinforcement learning

Python library and CLI for X/Twitter scraping with multi-account rotation and built-in rate-limit handling.

10x faster matrix and vector operations

A set of tools for extracting tables from PDF files helping to do data mining on (OCR-processed) scanned documents.

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)