Showing 661-680 of 703 projects
AI-powered Jupyter Notebook that can generate, edit, and debug code cells, and chat with your data
Engrafo is a tool that converts LaTeX documents into responsive web pages, making academic publishing more accessible.
A curated list of Twitter datasets and resources for data scientists and social network analysts.
This repository contains content and project files for the Udacity Data Science Nanodegree Term 2 program.
A high-quality dataset repository for building recommender systems, useful for vibe coders working on AI-powered applications.
A collection of data science, machine learning, and web development project code for Dataquest's YouTube channel.
CellProfiler is an open-source application for biological image analysis, primarily used in life sciences research.
An intuitive library to extract features from time series data for data science and machine learning.
A Python repository focused on natural language processing (NLP) tools and techniques.
An open-source Java machine learning framework for rapid development of ML and statistical apps.
GRASS is a free and open-source geospatial processing engine for spatial data analysis and visualization.
An open-source FPS/RTS hybrid game powered by the Daemon engine, a combination of ioq3 and XreaL.
A simple embedded database library in Rust modeled after SQLite, useful for Rust projects.
An open-source ML system for the end-to-end data science lifecycle, including Java and Python support.
A Python tool that automatically cleans and preprocesses data for analysis and machine learning.
Bayesian marketing toolbox in PyMC with models for media mix, customer lifetime value, and buy-till-you-die.
A quantum chemistry and solid state physics software package for high-performance computing.
This is a repository containing course resources for the computer science program at the University of Science and Technology of China.
A curated list of awesome resources on theoretical computer science, focused on math and logic techniques.
RAGChecker is a fine-grained framework for diagnosing RAG (Retrieval-Augmented Generation) models.
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