Basic sampling algorithms for Julia.
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Analyzes structured data and helps produce queries, insights or visualizations.
A beautiful graphing toolkit for Ruby.
High performance distributed data processing in NodeJS.
A system for quickly generating training data with weak supervision.
AI-generated visualization prototyping and editing platform, support 2D, 3D models, combined with LLM(Large Language Model) for quick editing.
Massively parallel self-organizing maps: accelerate training on multicore CPUs, GPUs, and clusters, has python API.
Spark is a fast and general engine for large-scale data processing.
Analyzes structured data and helps produce queries, insights or visualizations.
Statistical modelling and econometrics in Python.
Open-source OSINT tool for accurate mutual friends analysis on Steam, supporting full friend lists.
Streaming MapReduce with Scalding and Storm.
The Go Language library for SVG generation.
Open-source project that supports software development with code generation, analysis, debugging, or documentation.
A Python library for symbolic mathematics.
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.
Workflow tool to automatically organize data visualization output.
TensorFlow's Visualization Toolkit.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Scripts to load several popular datasets including:.
A data and concept drift library for PyTorch.
Open-source project that supports software development with code generation, analysis, debugging, or documentation.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.