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Keras community contributions

MLBox is a powerful Automated Machine Learning python library.

The official code repository for the second edition of the O'Reilly book Generative Deep Learning: Teaching Machines to Paint, Write, Compose and Play.

Python library for time series forecasting using scikit-learn compatible models, statistical methods, and foundation models

moDel Agnostic Language for Exploration and eXplanation

Educational notebooks on quantitative finance, algorithmic trading, financial modelling and investment strategy

visual data prep powered by python

AIDE: AI-Driven Exploration in the Space of Code. The machine Learning engineering agent that automates AI R&D.

Transpile trained scikit-learn estimators to C, Java, JavaScript and others.

Bayesian marketing toolbox in PyMC. Media Mix (MMM), customer lifetime value (CLV), buy-till-you-die (BTYD) models and more.

Calling Python functions from the Ruby language

[CONTRIBUTORS WELCOME] Generalized Additive Models in Python

Epsilla is a high performance Vector Database Management System

👩‍🏫 👨‍🏫 The open-source curriculum of Enki!

A Python library powered by Language Models (LLMs) for conversational data discovery and analysis.

Easy pipelines for pandas DataFrames.

RAGLight is a modular framework for Retrieval-Augmented Generation (RAG). It makes it easy to plug in different LLMs, embeddings, and vector stores, and now includes seamless MCP integration to connect external tools and data sources.

Impress your boss with interactive Decision Tree visualization

Pandas, Polars, Spark, and Snowpark DataFrame comparison for humans and more!

Obsidian tools - a Python package for analysing an Obsidian.md vault

Engine for AI/ML/Data tracking, visualization, explainability, drift detection, and dashboards for Polyaxon.

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 scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for Machine Learning.

Datasets & Analyses for Formula 1 World Championship

Core meta for awesome-public-datasets. Contribute new data here!

A Python 3 library making time series data mining tasks, utilizing matrix profile algorithms, accessible to everyone.

Spatial Representations for Artificial Intelligence - a Python library toolkit for geospatial machine learning focused on creating embeddings for downstream tasks

A unified framework for tabular probabilistic regression, time-to-event prediction, and probability distributions in python

The Machine Learning project including ML/DL projects, notebooks, cheat codes of ML/DL, useful information on AI/AGI and codes or snippets/scripts/tasks with tips.

A pure Python implementation of Apache Spark's RDD and DStream interfaces.