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Drop-in replacement for Jupyter and an AI-native workspace for modern data teams.
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Published directory entries matching your search.
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Functions and data dependencies for loading various word embeddings.
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Clojure Data Visualisation library, based on Statistiker and D3.
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Datawrapper An open source data visualization platform helping everyone to create simple, correct and embeddable charts. Also at.
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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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Knowledge sharing platform for data scientists and other technical professions.
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Repeatable, atomic and versioned data lake on top of object storage.
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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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Analyzes structured data and helps produce queries, insights or visualizations.
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Cleansing, pre-processing, feature engineering, exploratory data analysis and easy ML with PySpark backend.
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LLM Comparator is an interactive data visualization tool for evaluating and analyzing LLM responses side-by-side, developed by the PAIR team.
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Analyzes structured data and helps produce queries, insights or visualizations.
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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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Analyzes structured data and helps produce queries, insights or visualizations.
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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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A data exploration platform designed to be visual, intuitive, and interactive.
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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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Cheminfo - Platform for data visualization and analysis, using the project.
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AI evaluation platform for interactively exploring data and model outputs.