Statistics for topic data-science
RepositoryStats tracks 608,698 Github repositories, of these 2,170 are tagged with the data-science topic. The most common primary language for repositories using this topic is Python (762). Other languages include: Jupyter Notebook (618), R (75), HTML (69), JavaScript (52), TypeScript (52), Go (39), C++ (35), Java (23), Rust (21)
Stargazers over time for topic data-science
Most starred repositories for topic data-science (view more)
Trending repositories for topic data-science (view more)
An AI-powered data science team of agents to help you perform common data science tasks 10X faster.
Apache Superset is a Data Visualization and Data Exploration Platform
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
A reactive notebook for Python — run reproducible experiments, execute as a script, deploy as an app, and version with git.
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
Best Data Science, Data Analytics, AI, and SDE roadmaps. This repository is continually updated based on the top job postings on LinkedIn and Indeed in the data science and AI domain.
An AI-powered data science team of agents to help you perform common data science tasks 10X faster.
An AI-powered data science team of agents to help you perform common data science tasks 10X faster.
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
Apache Superset is a Data Visualization and Data Exploration Platform
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
A reactive notebook for Python — run reproducible experiments, execute as a script, deploy as an app, and version with git.
An AI-powered data science team of agents to help you perform common data science tasks 10X faster.
Become skilled in Artificial Intelligence, Machine Learning, Generative AI, Deep Learning, Data Science, Natural Language Processing, Reinforcement Learning and more with this complete 0 to 100 reposi...
A reactive notebook for Python — run reproducible experiments, execute as a script, deploy as an app, and version with git.
An AI-powered data science team of agents to help you perform common data science tasks 10X faster.
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
Best Data Science, Data Analytics, AI, and SDE roadmaps. This repository is continually updated based on the top job postings on LinkedIn and Indeed in the data science and AI domain.
⚡ Easy API access to the tabular foundation model TabPFN ⚡
A curated list of 100+ resources for building and deploying generative AI specifically focusing on helping you become a Generative AI Data Scientist with LLMs
An AI-powered data science team of agents to help you perform common data science tasks 10X faster.
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 committe...
AI-Driven Research Assistant: An advanced multi-agent system for automating complex research processes. Leveraging LangChain, OpenAI GPT, and LangGraph, this tool streamlines hypothesis generation, da...
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
Apache Superset is a Data Visualization and Data Exploration Platform
500 AI Machine learning Deep learning Computer vision NLP Projects with code
Streamlit — A faster way to build and share data apps.
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
2025 AI/ML internship & new graduate job list updated daily
Chat with your data, modify it, visualize it, create and test machine learning models all in plain English. DataHorse makes data analysis and data science conversational using LLMs.
Visualise your CSV files in seconds without sending your data anywhere
