A work-in-progress interactive atlas of osu! beatmaps
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Updated
May 12, 2024 - Jupyter Notebook
A work-in-progress interactive atlas of osu! beatmaps
Magick is a cutting-edge toolkit for a new kind of AI builder. Make Magick with us!
Modern columnar data format for ML and LLMs implemented in Rust. Convert from parquet in 2 lines of code for 100x faster random access, vector index, and data versioning. Compatible with Pandas, DuckDB, Polars, Pyarrow, with more integrations coming..
Private chat with local GPT with document, images, video, etc. 100% private, Apache 2.0. Supports oLLaMa, Mixtral, llama.cpp, and more. Demo: https://gpt.h2o.ai/ https://codellama.h2o.ai/
SHAZAM! (but for MOVIES!)
Providing enterprise-grade LLM-based development framework, tools, and fine-tuned models.
A project to show howto use SpringAI with OpenAI to chat with the documents in a library. Documents are stored in a normal/vector database. The AI is used to create embeddings from documents that are stored in the vector database. The vector database is used to query for the nearest document. That document is used by the AI to generate the answer.
A NodeJS RAG framework to easily work with LLMs and embeddings
Build production-ready backends in minutes
Java version of LangChain
Introductory labs on Graph embeddings and GNNs.
Automatic news aggregator in Telegram / Автоматический агрегатор новостей в Телеграме
The open source Firebase alternative.
The Harmony Python library: a research tool for psychologists to harmonise data and questionnaire items. Open source.
ID-based RAG FastAPI: Integration with Langchain and PostgreSQL/pgvector
Novigrad is an automatic differentiation engine with a forward mode and a backward mode. It aims to be a minimalistic neural network framework written in Rust. It's a work-in-progress.
the AI-native open-source embedding database
Documentation for Google's Gen AI site - including the Gemini API and Gemma
Radient turns many data types - not just text - into vectors for similarity search.
Distributed vector search for AI-native applications
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