Milvus is open source vector database for production AI, written in Go and C++, scalable and blazing fast for billions of embedding vectors.
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Generic mechanism for data scientists to build, run, and monitor ML tasks and pipelines.
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.
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.
A comprehensive set of fairness metrics for datasets and machine learning models.
Machine Learning and Data Mining for Astronomy.
Automated machine learning for image, text, tabular, time-series, and multi-modal data.
Open-source project that provides AI-assisted learning, courses, tutorials, or study support.
A curated list of language modeling researches for code and related datasets.
Track your datasets, code changes, experimentation history, and models.
A data orchestrator for machine learning, analytics, and ETL.
Dataframes for machine-learning and statistics (similar to pandas).
Platform democratizing access to data and enabling enterprises to build their own path to AI.
An open-core tool to automate data and training workflows.
All-in-one platform to create vertical AI agents powered by your private data and knowledge.
10x faster, cheaper, and better vector database.
Visualizations for understanding and analyzing machine learning datasets.
High-level wrapper built on the top of Pytorch which supports vision, text, tabular data and collaborative filtering.
Open-source self-hostable end-to-end LLMOps platform unifying tracing, evals, simulations, datasets, gateway, and guardrails.
AI-native database built for LLM applications, providing incredibly fast vector and full-text search.
Build better AI systems with evals, RAG, agents, synthetic data, fine-tuning, and prompt optimization. Free app + open-source library.
Open source MLOps project that eases model handoffs between data scientist and DevOps.