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Open source GPU accelerated data science libraries.

Ratings Graph — Rating Graph is an online visualization tool which generates fancy graphs about TV shows and Movies based on 1503 million user ratings.

Julia package for loading many of the data sets available in R.

A javascript library containing a collection of least squares fitting methods for finding a trend in a set of data.

Explore and compare open source Ruby libraries.

Analyzes structured data and helps produce queries, insights or visualizations.

Basic sampling algorithms for Julia.

Analyzes structured data and helps produce queries, insights or visualizations.

Analyzes structured data and helps produce queries, insights or visualizations.

A beautiful graphing toolkit for Ruby.

A JavaScript library aimed at visualizing graphs of thousands of nodes and edges.

High performance distributed data processing in NodeJS.

Analyzes structured data and helps produce queries, insights or visualizations.

A system for quickly generating training data with weak supervision.

AI-generated visualization prototyping and editing platform, support 2D, 3D models, combined with LLM(Large Language Model) for quick editing.

Massively parallel self-organizing maps: accelerate training on multicore CPUs, GPUs, and clusters, has python API.

Self Organizing Map written in Python (Uses neural networks for data analysis).

Spark is a fast and general engine for large-scale data processing.

Analyzes structured data and helps produce queries, insights or visualizations.

A blog with resources for data science learners.

An open source tool for running arbitrary queries against public data from the Stack Exchange network.

Statistical modelling and econometrics in Python.

We’re on a journey to advance and democratize artificial intelligence through open source and open science.

Streaming MapReduce with Scalding and Storm.