Implementation of Random Forest in Common Lisp.
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FoLiA format provides machine-learning models, research, training resources, or evaluation tools.
Forefront provides machine-learning models, research, training resources, or evaluation tools.
This AI Data Analyst chatbot generates SQL code using AI, like ChatGPT for SQL Databases. Connect and chat with database in ChatGPT.
Project that automatically maps relationship networks by parsing public data using LLMs and visualizes it as an interactive graph.
Ego-Exo4D: a foundational dataset by Meta for research on video learning and multimodal perception.
Integrate with providers using LangChain Python.
Provides a central interface to connect your LLM's with external data.
LlamaIndex is a data framework for your LLM applications.
Turn entire websites into LLM-ready markdown or structured data. Scrape, crawl and extract with a single API.
An open dataset with 30 trillion tokens for training Large Language Models.
Synthetic tabular data generation using GANs, Diffusion Models, and LLMs with adversarial filtering and privacy metrics.
Ambrosia helps you clean up your LLM datasets using other LLMs.
AI Native database for embedding vectors.
Helps find, analyze or synthesize information for research and knowledge discovery.
LinkedIn's generalized metadata search & discovery tool.
Listof - Community based data collection, packed in gem. Get list of pretty much anything (stop words, countries, non words) in txt, JSON or hash.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
LAION provides machine-learning models, research, training resources, or evaluation tools.
Helps find, analyze or synthesize information for research and knowledge discovery.
Toolbox of models, callbacks, and datasets for AI/ML researchers.
Chroma - Open-source search and retrieval database for AI applications. Vector, full-text, regex, and metadata search. or Cloud available.
AI-generated visualization prototyping and editing platform, support 2D, 3D models, combined with LLM(Large Language Model) for quick editing.
A guide to text analysis within the tidy data framework, using the tidytext package and other tidy tools.