Data Science

ML-For-Beginners

by microsoft

12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

30-Days-Of-Python

by Asabeneh

The 30 Days of Python programming challenge is a step-by-step guide to learn the Python programming language in 30 days. This challenge may take more than 100 days. Follow your…

superset

by apache

Apache Superset is a Data Visualization and Data Exploration Platform

scikit-learn

by scikit-learn

scikit-learn: machine learning in Python

keras

by keras-team

Deep Learning for humans

pandas

by pandas-dev

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

Made-With-ML

by GokuMohandas

Learn how to develop, deploy and iterate on production-grade ML applications.

Summer2027-Internships

by SimplifyJobs

Summer 2027 software engineering, data science, AI, quant, product management, and hardware internship postings. Updated daily by Simplify and Pitt CSC.

airflow

by apache

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

streamlit

by streamlit

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

ray

by ray-project

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

gradio

by gradio-app

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

Data-Science-For-Beginners

by microsoft

10 Weeks, 20 Lessons, Data Science for All!

500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code

by ashishpatel26

500 AI Machine learning Deep learning Computer vision NLP Projects with code

spaCy

by explosion

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

ML-From-Scratch

by eriklindernoren

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…

pytorch-lightning

by Lightning-AI

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

AI-Expert-Roadmap

by AMAI-GmbH

Roadmap to becoming an Artificial Intelligence Expert in 2022

applied-ml

by eugeneyan

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

awesome-datascience

by academic

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

d2l-en

by d2l-ai

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

data-science-ipython-notebooks

by donnemartin

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy,…

reflex

by reflex-dev

🕸️ Web apps in pure Python 🐍

Probabilistic-Programming-and-Bayesian-Methods-for-Hackers

by CamDavidsonPilon

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All…

fastbook

by fastai

The fastai book, published as Jupyter Notebooks

dash

by plotly

Data Apps & Dashboards for Python. No JavaScript Required.

prefect

by PrefectHQ

Prefect is a workflow orchestration framework for building resilient data pipelines in Python.

pandas-ai

by sinaptik-ai

Chat with your database or your datalake (SQL, CSV, parquet). PandasAI makes data analysis conversational using LLMs and RAG.

best-of-ml-python

by lukasmasuch

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

matplotlib

by matplotlib

matplotlib: plotting with Python

marimo

by marimo-team

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,…

akshare

by akfamily

AKShare is an elegant and simple financial data interface library for Python, built for human beings! 开源财经数据接口库

recommenders

by recommenders-team

Best Practices on Recommendation Systems

machine-learning-for-trading

by stefan-jansen

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

stanford-cs-229-machine-learning

by afshinea

VIP cheatsheets for Stanford's CS 229 Machine Learning

taipy

by Avaiga

Turns Data and AI algorithms into production-ready web applications in no time.

ML-YouTube-Courses

by dair-ai

📺 Discover the latest machine learning / AI courses on YouTube.

ipython

by ipython

Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.

Awesome-pytorch-list

by bharathgs

A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

gensim

by piskvorky

Topic Modelling for Humans

ds-cheatsheets

by FavioVazquez

List of Data Science Cheatsheets to rule the world

dagster

by dagster-io

An orchestration platform for the development, production, and observation of data assets.

dvc

by treeverse

🦉 Data Versioning and ML Experiments

kubeflow

by kubeflow

The Cloud Native AI Platform

RD-Agent

by microsoft

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…

Virgilio

by virgili0

Your new Mentor for Data Science E-Learning.

awesome-bigdata

by oxnr

A curated list of awesome big data frameworks, ressources and other awesomeness.

python-training

by jpmorganchase

Python training for business analysts and traders

awesome-mlops

by visenger

A curated list of references for MLOps

seaborn

by mwaskom

Statistical data visualization in Python