NVIDIA NIM supports machine learning models, deployment, inspection, datasets, or AI development workflows.
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Typed graph database where agents branch and merge like Git. S3-native, Rust, traversal + vector + BM25 in one runtime.
Open VLM Leaderboard supports machine learning models, deployment, inspection, datasets, or AI development workflows.
OpenML supports machine learning models, deployment, inspection, datasets, or AI development workflows.
Model Context Protocol - An open standard for connecting AI models to external tools and data sources. MCP Registry.
Vector database plugin for Postgres, written in Rust, specifically designed for LLM.
Connect your own data sources to a private AI powered tool and start asking in natural language.
Build tool for data science pipelines.
Toolbox of models, callbacks, and datasets for AI/ML researchers.
Quix is the agentic AI platform for hardware engineering — turn test-rig and sensor data into real-time insight.
Statistics, data mining and machine learning toolbox in Java.
SAMOA is a framework that includes distributed machine learning for data streams with an interface to plug-in different stream processing platforms.
Cloud native AI, analytic and data management platform that supports the analytics life cycle.
Chroma - Open-source search and retrieval database for AI applications. Vector, full-text, regex, and metadata search. or Cloud available.
Free online machine learning calculators. Input your dataset and watch algorithms like K-Means, Minimax, and KNN get solved step-by-step for CS exams.
This is an AI Agent that provides BUY / HOLD / SELL recommendations for any stock ticker based on live data.
A dataframe grammar wrapping tech.ml.dataset, inspired by several R libraries.
A guide to text analysis within the tidy data framework, using the tidytext package and other tidy tools.
The MIT AI Risk Initiative produces authoritative data and frameworks to help you identify, prioritize, and manage the risks from AI.
The Pile is a 825 GiB diverse, open source language modelling data set that consists of 22 smaller, high-quality datasets combined together.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Discover datasets around the world!
VBench supports machine learning models, deployment, inspection, datasets, or AI development workflows.
Python vector database you just need - no more, no less.