Offline multi-speaker meeting-speech toolkit: planted-ground-truth synthetic meeting factory, VAD, speaker embeddings, diarization (AHC/spectral/VB-HMM), overlap detection, CTC speaker-attributed ASR, cpWER/DER/JER evaluation, online streaming mode, deterministic reports. NumPy core, CPU-only torch extra.
The #1 AI Harness for Building Resumes, PDFs, Cover Letters & more, locally with 100+ LLMs support.
How Python does AI. Agents, realtime voice, image generation, embeddings. Every model, every interface, typed end to end.
State-of-the-Art Embeddings, Retrieval, and Reranking
A very simple framework for state-of-the-art Natural Language Processing (NLP)
Automation foundation model for tiny devices: 2-bit, 8-29 MB, tool calls, ASR, structured extraction and embeddings on phones, wearables, smart homes, robots, cars and microcontrollers.
๐ก All-in-one AI framework for semantic search, LLM orchestration and language model workflows
Leveraging BERT and c-TF-IDF to create easily interpretable topics.
Fast and Accurate Code Search for Agents. Uses 99% fewer tokens than grep+read
A python library for self-supervised learning on images.
MTEB: State-of-the-art evaluation of embeddings across languages and modalities
Open-source inference server and production cluster for all the models your agent needs.
Fast, Accurate, Lightweight Python library to make State of the Art Embedding
A persistent, unified memory layer for all your AI agents (e.g. Claude Code, Codex, DSH), backed by Markdown and Milvus.
The collection of pre-trained, state-of-the-art AI models for ailia SDK
Fast State-of-the-Art Static Embeddings
๐ค A Python library for learning and evaluating knowledge graph embeddings
A robust, all-in-one GPT interface for Discord. ChatGPT-style conversations, image generation, AI-moderation, custom indexes/knowledgebase, youtube summarizer, and more!
All-in-one training for vision models (YOLO, ViTs, RT-DETR, DINOv3): pretraining, fine-tuning, distillation.
Solves basic Russian NLP tasks, API for lower level Natasha projects
local-first semantic code search engine
MemeMeow ๆฏไธไธชๅบไบ่ช็ถ่ฏญ่จ็่กจๆ ๅ ๆฃ็ดขๅทฅๅ ทใๅบไบagent่ชๅจๆ ๆณจ่กจๆ ๅ ๅซไน๏ผๅช้ๆ่ฟฐๆณ่ฆ็ๅบๆฏๆๅฟๆ ๏ผๅฟซ้ๆพๅฐๅ้็่กจๆ ๅ ใ
Learnable latent embeddings for joint behavioral and neural analysis - Official implementation of CEBRA
ID-based RAG FastAPI: Integration with Langchain and PostgreSQL/pgvector
Embedding-based discovery of duplicated logic for projects too large or messy to maintain reliably
Open-source infrastructure that turns scattered SKILL.md files into curated, retrieval-ready agent-skill corporaโwith retrieval and evaluation tooling included.
RAGLight is a modular framework for Retrieval-Augmented Generation (RAG). It makes it easy to plug in different LLMs, embeddings, and vector stores, and now includes seamless MCP integration to connect external tools and data sources.
A flexible, adaptive classification system for dynamic text classification
An open-source intelligence (OSINT) analysis tool leveraging GPT-powered embeddings and vector search engines for efficient data processing
RESTai is an AIaaS (AI as a Service) open-source platform. Supports many public and local LLM suported by Ollama/vLLM/etc. Precise embeddings usage, tuning, analytics etc. Built-in image/audio generation with dynamic loading generators. Live chat deployment. Built-in block based graphical language. Prompt versioning and much more...
Established strong JEV based natural language to SQL performance and well-covered semantic operators for PostgreSQL(PG) with optimized cost and latency. Reusable evidence, with native execution, parallel plans and explainable embeddings in development preview.
Turn scattered notes, docs and transcripts into a queryable Markdown wiki โ an LLM knowledge-base compiler with MCP access, no embeddings, self-hosted.
Pretrained text classifiers you can run and retrain on CPU
Shared memory for AI coding tools: hybrid search, cited Q&A, harness memory discovery and a built-in Web console. Local index, MCP + HTTP.
A local acoustic control system that learns user-defined labels for the surface or location of knocks, such as desk or wall. It also counts threshold-qualified knocks within each captured window. By default, a frozen Microsoft BEATs Iter3+ AS2M encoder creates 768-D audio embeddings and an incremental classifier learns the user's labels.
Meet JevEmbed โ turn embeddings into decisions. Choose, score, and judge with your choice of embedding model.
Local-first RAG MCP server in Python: hybrid search (semantic + BM25 keyword boost) over your own documents. 11 MCP tools + CLI, markitdown ingestion for 12 formats, multilingual embeddings, LanceDB. Nothing leaves your machine.
Official code for the paper "A New Role for Relevance: Guiding Corpus Interaction in Agentic Search"
Zero downtime embedding upgrades
EmbeddingGemma2 resources: local search apps, decision models, inference frameworks, tutorials, and datasets. English / ็ฎไฝไธญๆ.
Standalone multi-reference image conditioning for LTX-2.5 in ComfyUI, with MSR LoRA slot embeddings and negative temporal offsets.
Code, datasets, and results for "The Embedder's Dilemma: LLMs Are Better, but at What Cost?" (COLM 2026). MTEB(LLM) benchmarks 10 LLMs and 26 embedding models on 37 tasks with full cost and throughput accounting.
A pure-Python system that automatically discovers, verifies, and applies relevant historical requirements for coding agents โ no embeddings, no vector database, no LLM calls. Companion code for the Towards Data Science article on intent continuity.
A lightweight, Git-native knowledge base skill for AI Agents โ no vector DB, no chunking, no embeddings. Just TOC + line numbers + full source.
A modular local AI agent built with Python and Ollama, featuring tool calling, memory, web search, document processing, embeddings, and RAG.
Structured Output Matching & Association: online multi-person tracking built on the structured output of a multi-task wholebody detector, one whole-frame pass per frame (plus per-crop ReID embeddings in SOMA-R) โ no tiling, no offline post-processing.
SIA โ the Omarchy Brain: a persistent, associative, self-consolidating memory for your Linux desktop. Local embeddings, typed knowledge graph, deterministic cognitive core, outcome learning with an audited judge, mission-control cockpit, MCP for every agent.