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Toolbox of models, callbacks, and datasets for AI/ML researchers.

Qodo supports software development with code generation, analysis, debugging, or documentation.

Tm and are the main packages for managing, analyzing, and visualizing textual data.

A python framework to transform natural language questions to queries in a database query language.

A self-organizing data hub with S3 support.

Convert websites into Markdown by placing the URL in the search bar.

r/notebooklm points to a Reddit community or thread with discussion, updates, troubleshooting, or shared resources.

Open source GPU accelerated data science libraries.

A free and open source tool for data visualization.

Julia package for loading many of the data sets available in R.

Research covering cybercriminal communications, darknets, underground forums and financial crime.

Investigates Reddit accounts by analyzing comments, posts, timing, subreddits, and account history.

Analyzes Reddit users to show activity, common subreddits, vocabulary, and posting patterns.

Python project for creating a persona-style summary from public Reddit account activity.

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.

Review analyzer that checks Amazon product reviews for suspicious patterns and adjusted ratings.

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.