data-science GitHub repositories

process-intelligence-solutions/pm4py

Official public repository for PM4Py (Process Mining for Python) — an open-source library for exploring, analyzing, and optimizing business processes with Python.

★ 1.1K+0 todayPython

NannyML/The-Little-Book-of-ML-Metrics

The book every data scientist needs on their desk.

★ 1.0K+0 todayJupyter Notebook

aniketpotabatti/Data-Science-EBooks

A curated collection of eBooks on Data Science, Machine Learning, and AI to help you learn and grow.

★ 1.0K+1 todayUnknown

ai machine-learning

machine-learning deep-learning

d0r1h/ML-University

Machine Learning Open Source University

★ 955+0 todayUnknown

nolabs-ai/deepfabric

Generate High-Quality Synthetics, Train, Measure, and Evaluate in a Single Pipeline

★ 891+0 todayPython

ai machine-learning

epsilla-cloud/vectordb

A high performance Vector Database leveraging parallel graph computing

★ 874+0 todayC++

ai machine-learning

joanby/python-ml-course

Curso de Introducción a Machine Learning con Python

★ 855+0 todayJupyter Notebook

AI data analyst for transparent, reproducible analysis. Works step by step in Python, verifies the evidence behind its reports, and supports a wide selection of models, including local open-weight models.

★ 826+1 todayPython

llm ai

jasmcaus/caer

High-performance Vision library in Python. Scale your research, not boilerplate.

astroautomata/SymbolicRegression.jl

Distributed High-Performance Symbolic Regression in Julia

★ 812+0 todayJulia

machine-learning deep-learning

DaoSword/Time-Series-Forecasting-and-Deep-Learning

Resources about time series forecasting and deep learning.

★ 808+1 todayPython

christopherkarani/Wax

Shared Single-file memory layer for all your agents, sub mili-second RAG over text, photo and video on Apple Silicon.. No Server. No API. One File. Pure Swift

DoubleML/doubleml-for-py

DoubleML - Double Machine Learning in Python

★ 795+0 todayPython

scverse/anndata

Annotated data.

★ 783+0 todayPython

MLOps-Courses/mlops-coding-course

Learn how to create, develop, and maintain a state-of-the-art MLOps code base

★ 745+0 todayUnknown

perpetual-ml/perpetual

Perpetual is a high-performance gradient boosting machine. It delivers optimal accuracy in a single run without complex tuning through a simple budget parameter. It features out-of-the-box support for causal ML, continual learning, native calibration, and robust drift monitoring, along with Rust core and zero-copy bindings for Python and R

★ 715+1 todayRust

machine-learning deep-learning

google/edward2

A simple probabilistic programming language.

★ 712+0 todayJupyter Notebook

fabsig/GPBoost

Tree-Boosting, Gaussian Processes, and Mixed-Effects Models

★ 704+1 todayC++

probabl-ai/skore

Track your Data Science. Skore's open-source Python library accelerates ML model development with automated evaluation reports, smart methodological guidance, and comprehensive cross-validation analysis.

★ 676+0 todayPython

Bessouat40/RAGLight

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.

uxlfoundation/oneDAL

oneAPI Data Analytics Library (oneDAL)

★ 653+0 todayC++