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.

📝 An awesome Data Science repository to learn and apply for real world problems.

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

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

Ready-to-use OCR with 40+ languages supported including Chinese, Japanese, Korean and Thai

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.

A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

Declarative web scraping

Machine Learning for Cyber Security

A Python Toolbox for Scalable Outlier Detection (Anomaly Detection)

A library of extension and helper modules for Python's data analysis and machine learning libraries.

Anomaly detection related books, papers, videos, and toolboxes

extract text from any document. no muss. no fuss.

🍊 📊 💡 Orange: Interactive data analysis https://orange.biolab.si

Curated list of Python resources for data science.

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

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

A curated list of awesome machine learning interpretability resources.

A unified toolbox for machine learning with time series

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

📝 Подборка ресурсов по машинному обучению

Dex : The Data Explorer -- A data visualization tool written in Java/Groovy/JavaFX capable of powerful ETL and publishing web visualizations.

eBay's TSV Utilities: Command line tools for large, tabular data files. Filtering, statistics, sampling, joins and more.

HTML5 based online tool to extract numerical data from plot images.

AIL framework - Analysis Information Leak framework

An offline recommender system backend based on collaborative filtering written in Go

Multi-class confusion matrix library in Python

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

Google Cloud Dataflow provides a simple, powerful model for building both batch and streaming parallel data processing pipelines.