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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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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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Open-source OSINT tool for accurate mutual friends analysis on Steam, supporting full friend lists.
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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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Open-source project that supports software development with code generation, analysis, debugging, or documentation.
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A Python library for symbolic mathematics.
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Synthetic tabular data generation using GANs, Diffusion Models, and LLMs with adversarial filtering and privacy metrics.
A github util where AI will do the paper reading for you instead.
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Workflow tool to automatically organize data visualization output.
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TensorFlow's Visualization Toolkit.
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Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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Scripts to load several popular datasets including:.
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A data and concept drift library for PyTorch.