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A project to make it easier to use large external knowledge bases with LLMs.
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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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An unsupervised machine learning extension library for NetworkX with a Scikit-Learn like API.
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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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Lazy Tabs is an open source browser tool for improving tabs, bookmarks, extensions, or browsing workflows.
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Browser extension that redirects popular sites to privacy-friendly alternative frontends.
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Pretrain computer vision models on unlabeled data for industrial applications.
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A graph sampling extension library for NetworkX with a Scikit-Learn like API.
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Provides a central interface to connect your LLM's with external data.
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Extensible Toolkit for Finetuning and Inference of Large Foundation Models.
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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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A user-friendly Python toolkit for open source intelligence, providing key features such as image geolocation, social media profiling, email breach checks, domain lookup, metadata extraction, Google dorking, Wayback Machine queries, IP geolocation with blacklist checks, reverse image search, among others.
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MaterialYouNewTab is an open source browser tool for improving tabs, bookmarks, extensions, or browsing workflows.
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Medium Parser is an open source browser tool for improving tabs, bookmarks, extensions, or browsing workflows.
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Python tool used to download, extract, and apply date, time, and location metadata to Snapchat Memories when exporting them from the app.
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MeTA: ModErn Text Analysis is a C++ Data Sciences Toolkit that facilitates mining big text data.