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References for Go were mostly cut-and-pasted from.
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Graph layout algorithms in pure Julia.
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Implementation of the hdbscan algorithm in Python - used for clustering.
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Analyzes structured data and helps produce queries, insights or visualizations.
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Analyzes structured data and helps produce queries, insights or visualizations.
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The power of Chart.js in Jupyter Notebook.
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Distributed POSIX file system built on top of Redis and S3.
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Jupyter Notebooks as Markdown Documents, Julia, Python or R scripts.
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Rendering beautiful SVG maps in Python.
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Knowledge sharing platform for data scientists and other technical professions.
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Pandas API on Apache Spark. Makes data scientists more productive when interacting with big data.
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Repeatable, atomic and versioned data lake on top of object storage.
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Modern columnar data format for ML implemented in Rust.
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Pretrain computer vision models on unlabeled data for industrial applications.
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Fast and easy data exploration by automating the visualization and data analysis process.
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A federated, open-source data catalog for all your big data and small data.
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Collect, aggregate, and visualize a data ecosystem's metadata.
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A tensor-based framework for large-scale data computation which is often regarded as a parallel and distributed version of NumPy.
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Unified metadata exploration API service for Hive, RDS, Teradata, Redshift, S3 and Cassandra.
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Analyzes structured data and helps produce queries, insights or visualizations.
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Open source ML model versioning, metadata, and experiment management.
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Algorithm capable of fully capturing the impact of data drift on performance.
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An NLP library built in node over Natural, with entity extraction, sentiment analysis, automatic language identify, and so more.
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Notebook experience in your Clojure namespace.