MTEB: State-of-the-art evaluation of embeddings across languages and modalities
- benchmark
- clustering
- information-retrieval
- sentence-transformers
Repository Index
77,852 visible repositories in the index
121–144 of 294 · Most stars
Towhee is a framework that is dedicated to making neural data processing pipelines simple and fast.
- machine-learning
- convolutional-networks
- embedding-vectors
- embeddings
Code for the paper "Evaluating Large Language Models Trained on Code"
Accelerated deep learning R&D
An AI-powered file management tool that ensures privacy by organizing local texts, images. Using Llama3.2 3B and Llava v1.6 models with the Nexa SDK, it intuitively scans, restructures, and organizes files for quick, seamless access and easy retrieval.
- file-organizer
- llm
- on-device-ai
- vlm
Fully Convolutional Networks for Semantic Segmentation by Jonathan Long*, Evan Shelhamer*, and Trevor Darrell. CVPR 2015 and PAMI 2016.
Fast, Accurate, Lightweight Python library to make State of the Art Embedding
- embeddings
- openai
- rag
- retrieval
Inspect: A framework for large language model evaluations
Mining URLs from dark corners of Web Archives for bug hunting/fuzzing/further probing
- parameter-finder
- parameter
- bugbounty
- content-discovery
QuantMind is an open source agent-native knowledge extraction and retrieval framework for quantitative finance.
- quantitative-finance
- quantitative-research
- data
- knowledge
Universal memory layer for AI Agents. It provides scalable, extensible, and interoperable memory storage and retrieval to streamline AI agent state management for next-generation autonomous systems.
- ai
- memory
- memory-management
- python
rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.
AI Search & RAG Without Moving Your Data. Get instant answers from your company's knowledge across 100+ apps while keeping data secure. Deploy in minutes, not months.
- search
- search-engine
- federated-query
- federated-search
A python program that turns an LLM, running on Ollama, into an automated researcher, which will with a single query determine focus areas to investigate, do websearches and scrape content from various relevant websites and do research for you all on its own! And more, not limited to but including saving the findings for you!
Together Mixture-Of-Agents (MoA) – 65.1% on AlpacaEval with OSS models
mean Average Precision - This code evaluates the performance of your neural net for object recognition.
- machine-learning
- pascal-voc
- average-precision
- ground-truth
Holistic Evaluation of Language Models (HELM) is an open source Python framework created by the Center for Research on Foundation Models (CRFM) at Stanford for holistic, reproducible and transparent evaluation of foundation models, including large language models (LLMs) and multimodal models.
A new SOTA for RAG — an original retrieval architecture and an open-source knowledge base for humans and agents.
User Profile-Based Long-Term Memory for AI Chatbot Applications.
⚡LLM Zoo is a project that provides data, models, and evaluation benchmark for large language models.⚡
A 13B large language model developed by Baichuan Intelligent Technology
- artificial-intelligence
- chatgpt
- chinese
- gpt-4
Implementation of papers in 100 lines of code.
The code used to train and run inference with the ColVision models, e.g. ColPali, ColQwen2, and ColSmol.
- colpali
- information-retrieval
- retrieval-augmented-generation
- vision-language-model
Symbol-level code retrieval for AI agents: fetch the function you need, not the whole file. Runs locally. 96.2% fewer tokens per lookup on average than grep-and-read on our 15-lookup benchmark. Works with Claude Code, Cursor, Codex and any MCP client. Free for non-commercial use; commercial use needs a one-time license.