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A pure-python graphics and GUI library built on PyQt4 / PySide and NumPy.
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A python framework to transform natural language questions to queries in a database query language.
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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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Basic sampling algorithms for Julia.
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Analyzes structured data and helps produce queries, insights or visualizations.
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A beautiful graphing toolkit for Ruby.
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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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AI-generated visualization prototyping and editing platform, support 2D, 3D models, combined with LLM(Large Language Model) for quick editing.
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Massively parallel self-organizing maps: accelerate training on multicore CPUs, GPUs, and clusters, has python API.
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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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Statistical modelling and econometrics in Python.
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Streaming MapReduce with Scalding and Storm.
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A data exploration platform designed to be visual, intuitive, and interactive.
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The Go Language library for SVG generation.
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A Python library for symbolic mathematics.
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Scripts to load several popular datasets including:.
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A data and concept drift library for PyTorch.
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Interactive notebook-based tool to visualize the forward pass of any PyTorch model.
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Enriches training datasets with features from public and community shared data sources.