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Open-source project that applies AI to data analysis, extraction, visualization, or business intelligence.

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media.

A self-organizing data hub with S3 support.

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.

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

Open-source project that applies AI to data analysis, extraction, visualization, or business intelligence.

High performance distributed data processing in NodeJS.

A system for quickly generating training data with weak supervision.

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.

Open-source project that applies AI to data analysis, extraction, visualization, or business intelligence.

A data exploration platform designed to be visual, intuitive, and interactive.

Workflow tool to automatically organize data visualization output.

Open-source project that applies AI to data analysis, extraction, visualization, or business intelligence.

Open-source project that applies AI to data analysis, extraction, visualization, or business intelligence.

A data and concept drift library for PyTorch.

Enriches training datasets with features from public and community shared data sources.

Minimalist neural network library optimized for sparse data and single machine environments.

Open-source project that applies AI to data analysis, extraction, visualization, or business intelligence.

GPU-based high-performance interactive OpenGL 2D/3D data visualization library.

Cheminfo - Platform for data visualization and analysis, using the project.

AI evaluation platform for interactively exploring data and model outputs.