Showing 1-20 of 54 projects
Comprehensive Data Science learning and resource guide
A comprehensive collection of data science cheatsheets for developers and data scientists.
A library of ready-to-use scientific skills for the Claude AI assistant, focused on bioinformatics, drug discovery, and scientific computing.
An open-source AI scientist platform for fully automated scientific discovery.
An open-source Copilot for data scientists, enabling building high-performance portfolios, lab sites, and docs in Markdown and Jupyter.
An open-source, low-code machine learning library in Python for building and training machine learning models.
A collection of machine learning examples and tutorials for data scientists and ML engineers.
A Ruby library for carefully refactoring critical code paths.
A detailed guide for undergraduate students or anyone wanting to dive into the field of AI with a solid foundation.
A deep learning and reinforcement learning library for scientists and engineers, with support for TensorFlow.
This repository provides tutorials and resources for data scientists to learn and grow their skills.
A Python library for common data analysis and machine learning tasks
A next-generation curated knowledge sharing platform for data scientists and other technical professionals.
A Python library for probabilistic time series modeling and forecasting, useful for data scientists and ML engineers.
An AI-powered data science team of agents to help developers perform common data science tasks 10x faster.
Automating Academic Illustration for AI Scientists
Amundsen is an open-source data discovery platform for improving productivity of data analysts and engineers.
Probabilistic reasoning and statistical analysis tools built on TensorFlow for data scientists and ML researchers.
A command-line toolkit for data scientists with tools for working with data, visualizing, and automating workflows.
DeepAnalyze is an agentic LLM for autonomous data science, automating data analysis and report generation.
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