Massively parallel self-organizing maps: accelerate training on multicore CPUs, GPUs, and clusters, has python API.
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Snowpixel applies AI to data analysis, extraction, visualization, or business intelligence.
A system for quickly generating training data with weak supervision.
Analyzes structured data and helps produce queries, insights or visualizations.
High performance distributed data processing in NodeJS.
Open-source project that applies AI to data analysis, extraction, visualization, or business intelligence.
A JavaScript library aimed at visualizing graphs of thousands of nodes and edges.
shiny applies AI to data analysis, extraction, visualization, or business intelligence.
A python visualization library based on matplotlib.
A beautiful graphing toolkit for Ruby.
SciRuby applies AI to data analysis, extraction, visualization, or business intelligence.
Analyzes structured data and helps produce queries, insights or visualizations.
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.
Runcell applies AI to data analysis, extraction, visualization, or business intelligence.
Ruffus applies AI to data analysis, extraction, visualization, or business intelligence.
Explore and compare open source Ruby libraries.
A javascript library containing a collection of least squares fitting methods for finding a trend in a set of data.
Redash applies AI to data analysis, extraction, visualization, or business intelligence.
Julia package for loading many of the data sets available in R.
A free and open source tool for data visualization.
Open source GPU accelerated data science libraries.
A self-organizing data hub with S3 support.