bestofgithub.devRepositories with the GitHub topic “data-science”: 120 repositories with 2.2M stars between them, mostly written in Python, Jupyter Notebook and TypeScript. The highest-rated is Asabeneh/30-Days-Of-Python, #173 on the bestofgithub Elo ladder.
A lightweight, cloud-native GIS platform for visualizing, exploring, and analyzing geospatial data. It runs in the web browser, on the desktop, on mobile, and inside Jupyter notebooks.
brew install --cask geolibre⚡ TabPFN: Foundation Model for Tabular Data ⚡
git clone https://github.com/PriorLabs/TabPFN.gitOpen 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..
git clone https://github.com/lance-format/lance.gitPython training for business analysts and traders
git clone https://github.com/jpmorganchase/python-training.gitThe research engine that gives you an unfair advantage. Run thousands of trading ideas before others finish one.
pip install vectorbt[SIGMOD'27] Easy Data Preparation with latest LLMs-based Operators and Pipelines.
git clone https://github.com/OpenDCAI/DataFlow.gitThe 30 Days of Python programming challenge is a step-by-step guide to learn the Python programming language in 30…
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
scikit-learn: machine learning in Python
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R…
Apache Superset is a Data Visualization and Data Exploration Platform
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
10 Weeks, 20 Lessons, Data Science for All!
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML…
500 AI Machine learning Deep learning Computer vision NLP Projects with code
Streamlit — The agent-native framework for data apps and dashboards.
Learn how to develop, deploy and iterate on production-grade ML applications.
Summer 2027 software engineering, data science, AI, quant, product management, and hardware internship postings…
Code for Machine Learning for Trading, 3rd edition — from data sourcing to live execution.
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
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus…
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
:memo: An awesome Data Science repository to learn and apply for real world problems.
Research and development (R&D) is crucial for the enhancement of industrial productivity, especially in the AI era…
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70…
A reactive notebook for Python — run reproducible experiments, query with SQL, execute as a script, deploy as an app…
Deep Learning for humans
The research engine that gives you an unfair advantage. Run thousands of trading ideas before others finish one.
matplotlib: plotting with Python
Prefect is a workflow orchestration framework for building resilient data pipelines in Python.
💫 Industrial-strength Natural Language Processing (NLP) in Python
The fastai book, published as Jupyter Notebooks
A lightweight, cloud-native GIS platform for visualizing, exploring, and analyzing geospatial data. It runs in the web…
Roadmap to becoming an Artificial Intelligence Expert in 2022
🕸️ Web apps in pure Python 🐍
An orchestration platform for the development, production, and observation of data assets.
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark…
Official repository of Trino, the distributed SQL query engine for big data, formerly known as PrestoSQL…
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a…
Python training for business analysts and traders
Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.
[SIGMOD'27] Easy Data Preparation with latest LLMs-based Operators and Pipelines.
VIP cheatsheets for Stanford's CS 229 Machine Learning
Best Practices on Recommendation Systems
All course materials for the Zero to Mastery Machine Learning and Data Science course.
PyMuPDF is a high performance Python library for data extraction, analysis, conversion & manipulation of PDF (and…
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
Data Apps & Dashboards for Python. No JavaScript Required.
⚡ TabPFN: Foundation Model for Tabular Data ⚡
Chat with your database or your datalake (SQL, CSV, parquet). PandasAI makes data analysis conversational using LLMs…
A curated list of references for MLOps
The Cloud Native AI Platform
A comprehensive list of pytorch related content on github,such as different models,implementations,helper…
Official repository for IPython itself. Other repos in the IPython organization contain things like the website…
Open Machine Learning Course
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon…
Open Lakehouse Format for Multimodal AI. Convert from Parquet in 2 lines of code for 100x faster random access, vector…
Topic Modelling for Humans
Statistical data visualization in Python
A curated list of awesome big data frameworks, ressources and other awesomeness.
OpenRefine is a free, open source power tool for working with messy data and improving it
Statsmodels: statistical modeling and econometrics in Python
Refine high-quality datasets and visual AI models
人工智能学习路线图，整理近200个实战案例与项目，免费提供配套教材，零基础入门，就业实战！包括：Python，数学，机器学习，数据分析，深度学习，计算机视觉，自然语言处理，PyTorch tensorflow…
🦉 Data Versioning and ML Experiments
Always know what to expect from your data.
🔥Highlighting the top ML papers every week.
The "Python Machine Learning (1st edition)" book code repository and info resource
📺 Discover the latest machine learning / AI courses on YouTube.
A unified framework for machine learning with time series
Open Source Feature Flags, Experimentation, and Product Analytics
Fast and Accurate ML in 3 Lines of Code
A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning…
Your new Mentor for Data Science E-Learning.
A python library for user-friendly forecasting and anomaly detection on time series.
1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural…
Cleanlab's open-source library is the standard data-centric AI package for data quality and machine learning with…
Data science interview questions and answers
Evidently is an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or…
A collection of machine learning examples and tutorials.
A Python library for anomaly detection across tabular, time series, graph, text, image, and audio data. 60+ detectors…
A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification…
cuDF - GPU DataFrame Library
Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation…
Data processing for and with foundation models! 🍎 🍋 🌽 ➡️ ➡️🍸 🍹 🍷
An open-source NLP research library, built on PyTorch.
Business intelligence as code: build fast, interactive data visualizations in SQL and markdown
Open-source, low-code AutoML platform for Python. PyCaret 4.0: sklearn-native engine + React control plane.
The Open Source Feature Store for AI/ML
DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy…
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
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！
Low-code framework for building custom LLMs, neural networks, and other AI models
H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) &…
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
Python Data. Leaflet.js Maps.
Automatic extraction of relevant features from time series:
Deep learning library featuring a higher-level API for TensorFlow.
🧙 Build, run, and manage data pipelines for integrating and transforming data.
Rich MySQL Terminal Client with AutoCompletion, Syntax Highlighting, and Dataframes
🏅 Collection of Kaggle Solutions and Ideas 🏅
A roadmap connecting many of the most important concepts in machine learning, how to learn them and what tools to use…