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Creates or edits images with generative models and visual controls.
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imgbrd-grabber helps download images, albums, wallpapers, or visual media from supported sources.
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Analyzes structured data and helps produce queries, insights or visualizations.
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A lightweight set of tools for loading and sharing data in data science projects.
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The power of Chart.js in Jupyter Notebook.
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Machine learning toolkit with classification and clustering for Node.js; supports visualization (see visualml.io).
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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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LKImageKit helps download images, albums, wallpapers, or visual media from supported sources.
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Creates or edits images with generative models and visual controls.
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Visual programming for streamers
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A federated, open-source data catalog for all your big data and small data.
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A model-agnostic visual debugging tool for machine learning.
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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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MeTA: ModErn Text Analysis is a C++ Data Sciences Toolkit that facilitates mining big text data.
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Unified metadata exploration API service for Hive, RDS, Teradata, Redshift, S3 and Cassandra.
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Syncs GAN-generated visuals to music.