data-science

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.

Open Source Feature Flags, Experimentation, and Product Analytics

告别枯燥，致力于打造 Python 实用小例子，更多Python良心教程见 https://ai-jupyter.com

A roadmap connecting many of the most important concepts in machine learning, how to learn them and what tools to use to perform them.

Evidently is ​​an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.

⚡ TabPFN: Foundation Model for Tabular Data ⚡

An open source python library for automated feature engineering

Book_3_《数学要素》 | 鸢尾花书：从加减乘除到机器学习；上架；欢迎继续纠错，纠错多的同学还会有赠书！

H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)

Dynamic, resilient AI orchestration. Coordinate data, models, and compute as you build AI workflows.

The Open Source Feature Store for AI/ML

The "Python Machine Learning (2nd edition)" book code repository and info resource

A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning

VIP cheatsheets for Stanford's CS 230 Deep Learning

Open Lakehouse Format for Multimodal AI. Convert from Parquet in 2 lines of code for 100x faster random access, vector index, and data versioning. Compatible with Pandas, DuckDB, Polars, Pyarrow, and PyTorch with more integrations coming..

Data processing for and with foundation models! 🍎 🍋 🌽 ➡️ ➡️🍸 🍹 🍷

All course materials for the Zero to Mastery Machine Learning and Data Science course.

Repository of teaching materials, code, and data for my data analysis and machine learning projects.

🎓 Sharing machine learning course / lecture notes.