#Data-mining
Showing 60 of 273 repositories tagged #data-mining, ranked by stars
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
10x faster matrix and vector operations
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 curated list of Graph/Transformer-based fraud, anomaly, and outlier detection papers & resources
A curated list of data mining papers about fraud detection.
安全场景、基于AI的安全算法和安全数据分析业界实践
novel deep learning research works with PaddlePaddle
Some awesome AI related books and pdfs for learning and downloading, also apply some playground models for learning
A Guide for Feature Engineering and Feature Selection, with implementations and examples in Python.
A Deep Learning Python Toolkit for Healthcare Applications.
A professional list of Papers, Tutorials, and Surveys on AI for Time Series in top AI conferences and journals.
Multi-class confusion matrix library in Python
eBay's TSV Utilities: Command line tools for large, tabular data files. Filtering, statistics, sampling, joins and more.
:memo: Подборка ресурсов по машинному обучению
A toolkit for time series machine learning and deep learning
AIL framework - Analysis Information Leak framework. Project moved to https://github.com/ail-project
UnityPy is python module that makes it possible to extract/unpack and edit Unity assets
CleverCSV is a Python package for handling messy CSV files. It provides a drop-in replacement for the builtin CSV module with improved dialect detection, and comes with a handy command line application for working with CSV files.
Dex : The Data Explorer -- A data visualization tool written in Java/Groovy/JavaFX capable of powerful ETL and publishing web visualizations.
pyclustering is a Python, C++ data mining library.
NFStream: a Flexible Network Data Analysis Framework.
Pytorch Repo for DeepGCNs (ICCV'2019 Oral, TPAMI'2021), DeeperGCN (arXiv'2020) and GNN1000(ICML'2021): https://www.deepgcns.org
Collection of various algorithms implemented in R.
:video_game: A curated list of awesome game datasets, and tools to artificial intelligence in games
[IEEE T-KDE 2026] Awesome Deep Graph Clustering is a collection of SOTA, novel deep graph clustering methods (papers, codes, and datasets).
Official public repository for PM4Py (Process Mining for Python) — an open-source library for exploring, analyzing, and optimizing business processes with Python.
AIL framework - Analysis Information Leak framework
IPython Cookbook, Second Edition, by Cyrille Rossant, Packt Publishing 2018
Welcome to the Data Science EBooks repository! This collection offers a variety of high-quality ebooks on Data Science, Machine Learning, and AI. Perfect for both beginners and advanced learners, explore these resources to deepen your knowledge and skills.
A curated list of adversarial attacks and defenses papers on graph-structured data.
Google Cloud Dataflow provides a simple, powerful model for building both batch and streaming parallel data processing pipelines.
Node graphs, OSINT data mining, and plugins. Connect unstructured and public data for transformative insights. The rewrite can be found @ osintbuddy/osintbuddy
ELKI Data Mining Toolkit
Feature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning algorithms. Feature engineering can be considered as applied machine learning itself.
Code of the IPython Cookbook, Second Edition, by Cyrille Rossant, Packt Publishing 2018 [read-only repository]
My book list