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Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media.
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A self-organizing data hub with S3 support.
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Julia package for loading many of the data sets available in R.
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A javascript library containing a collection of least squares fitting methods for finding a trend in a set of data.
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Analyzes structured data and helps produce queries, insights or visualizations.
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Open-source project that applies AI to data analysis, extraction, visualization, or business intelligence.
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High performance distributed data processing in NodeJS.
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A system for quickly generating training data with weak supervision.
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Self Organizing Map written in Python (Uses neural networks for data analysis).
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Spark is a fast and general engine for large-scale data processing.
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Analyzes structured data and helps produce queries, insights or visualizations.
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Open-source project that applies AI to data analysis, extraction, visualization, or business intelligence.
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A data exploration platform designed to be visual, intuitive, and interactive.
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Workflow tool to automatically organize data visualization output.
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Open-source project that applies AI to data analysis, extraction, visualization, or business intelligence.
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Open-source project that applies AI to data analysis, extraction, visualization, or business intelligence.
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A data and concept drift library for PyTorch.
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Enriches training datasets with features from public and community shared data sources.
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Minimalist neural network library optimized for sparse data and single machine environments.
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Open-source project that applies AI to data analysis, extraction, visualization, or business intelligence.
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GPU-based high-performance interactive OpenGL 2D/3D data visualization library.
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Cheminfo - Platform for data visualization and analysis, using the project.
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AI evaluation platform for interactively exploring data and model outputs.
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Generating retro pixel game characters with Generative Adversarial Networks. Dataset "TinyHero" included.