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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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Natural Language Understanding library for intent classification and entity extraction.
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A system for quickly generating training data with weak supervision.
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AI-powered social listening tool that tracks brand mentions across Google, Instagram, Facebook, TikTok, Reddit, and X (Twitter). Uses HasData SERP API + LLM inference to extract structured insights, generate charts, export CSV reports, and send Telegram notifications on a 24-hour automated cycle.
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:card_index: Extract social media profiles and more with regular expressions
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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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Steganography extraction tool for finding hidden files or data inside images.
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Python steganography tool for hiding or extracting data in supported image and audio files.
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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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Workflow tool to automatically organize data visualization output.
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TensorFlow's Visualization Toolkit.
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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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Python library for automatic extraction of relevant features from time series.
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Enriches training datasets with features from public and community shared data sources.