data-science GitHub repositories

scikit-learn/scikit-learn

scikit-learn: machine learning in Python

★ 68.0K+31 todayPython

keras-team/keras

Deep Learning for humans

★ 64.4K+1 todayPython

apache/airflow

Apache Airflow - A platform to programmatically author, schedule, and monitor workflows

streamlit/streamlit

Streamlit — A faster way to build and share data apps.

★ 46.2K+9 todayPython

ray-project/ray

Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

gradio-app/gradio

Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!

★ 43.9K+10 todayPython

explosion/spaCy

💫 Industrial-strength Natural Language Processing (NLP) in Python

★ 34.0K+2 todayPython

Lightning-AI/pytorch-lightning

Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.

★ 31.4K+0 todayPython

academic/awesome-datascience

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

★ 30.2K+4 todayUnknown

fastai/fastbook

The fastai book, published as Jupyter Notebooks

★ 25.4K+5 todayJupyter Notebook

machine-learning developer-tools

lukasmasuch/best-of-ml-python

🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

marimo-team/marimo

A reactive notebook for Python — run reproducible experiments, query with SQL, execute as a script, deploy as an app, and version with git. Stored as pure Python. All in a modern, AI-native editor.

★ 23.3K+16 todayPython

recommenders-team/recommenders

Best Practices on Recommendation Systems

★ 22.0K+1 todayPython

stefan-jansen/machine-learning-for-trading

Code for Machine Learning for Trading, 3rd edition — from data sourcing to live execution.

★ 21.6K+47 todayJupyter Notebook

treeverse/dvc

🦉 Data Versioning and ML Experiments

★ 15.9K+4 todayPython

kubeflow/kubeflow

The Cloud Native AI Platform

★ 15.9K+2 todayUnknown

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

★ 15.1K+39 todayPython

llm ai

dair-ai/AI-Papers-of-the-Week

🔥Highlighting the top ML papers every week.

★ 13.3K+2 todayUnknown

ludwig-ai/ludwig

Low-code framework for building custom LLMs, neural networks, and other AI models

wandb/wandb

The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.

voxel51/fiftyone

Refine high-quality datasets and visual AI models

★ 11.2K+4 todayTypeScript

aws/amazon-sagemaker-examples

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

★ 11.0K+1 todayJupyter Notebook

autogluon/autogluon

Fast and Accurate ML in 3 Lines of Code

drivendataorg/cookiecutter-data-science

A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.

★ 10.1K+3 todayPython

sktime/sktime

A unified framework for machine learning with time series

★ 10.1K+0 todayPython

yzhao062/pyod

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.

unit8co/darts

A python library for user-friendly forecasting and anomaly detection on time series.

★ 9.6K+2 todayPython

polakowo/vectorbt

The research engine that gives you an unfair advantage. Run thousands of trading ideas before others finish one.

★ 9.6K+12 todayPython

catboost/catboost

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.

★ 9.2K+4 todayC++

lazyprogrammer/machine_learning_examples

A collection of machine learning examples and tutorials.

★ 8.9K+1 todayPython

machine-learning artificial-intelligence

mage-ai/mage-ai

🧙 Build, run, and manage data pipelines for integrating and transforming data.

★ 8.8K+0 todayPython

py-why/dowhy

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.

★ 8.4K+0 todayPython

PriorLabs/TabPFN

⚡ TabPFN: Foundation Model for Tabular Data ⚡

★ 8.3K+10 todayPython

evidentlyai/evidently

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.

★ 8.0K+4 todayJupyter Notebook

llm machine-learning

h2oai/h2o-3

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.

feast-dev/feast

The Open Source Feature Store for AI/ML

★ 7.3K+2 todayPython