A free and open source tool for data visualization.
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Julia package for loading many of the data sets available in R.
An open dataset with 30 trillion tokens for training Large Language Models.
A javascript library containing a collection of least squares fitting methods for finding a trend in a set of data.
People are writing great tools and papers for improving outputs from GPT. Here are some cool ones we.
Repomix supports software development with code generation, analysis, debugging, or documentation.
100% free, open-source AI code review tool for analyzing git branch differences with comprehensive security, performance, and quality analysis.
Explore and compare open source Ruby libraries.
Analyzes structured data and helps produce queries, insights or visualizations.
Basic sampling algorithms for Julia.
Analyzes structured data and helps produce queries, insights or visualizations.
Analyzes structured data and helps produce queries, insights or visualizations.
Summarize, analyze and organize your research.
A beautiful graphing toolkit for Ruby.
A python visualization library based on matplotlib.
Chroma - Open-source search and retrieval database for AI applications. Vector, full-text, regex, and metadata search. or Cloud available.
A JavaScript library aimed at visualizing graphs of thousands of nodes and edges.
High performance distributed data processing in NodeJS.
Skills supports software development with code generation, analysis, debugging, or documentation.
Analyzes structured data and helps produce queries, insights or visualizations.
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.
Apache Spark is a multi-language engine for executing data engineering, data science, and machine learning on single-node machines or clusters.