The huggingface implementation of Fine-grained Late-interaction Multi-modal Retriever.

real time face swap and one-click video deepfake with only a single image

Adapting Meta AI's Segment Anything to Downstream Tasks with Adapters and Prompts

Low-bit LLM inference on CPU with lookup table

A series of math-specific large language models of our Qwen2 series.

The Supabase for RAG - R2R lets you build, scale, and manage user-facing Retrieval-Augmented Generation applications in production.

Pytorch Library for Relational Table Learning with LLMs.

BrowserGym, a gym environment for web task automation in the Chromium browser.

🙌 OpenHands: Code Less, Make More

Official implementation of OV-DINO: Unified Open-Vocabulary Detection with Language-Aware Selective Fusion

PyTorch Implementation of AudioLCM (ACM-MM'24): a efficient and high-quality text-to-audio generation with latent consistency model.

One-click deploy of a Knowledge Graph powered RAG (GraphRAG) in Azure

Local models support for Microsoft's graphrag using ollama (llama3, mistral, gemma2 phi3)- LLM & Embedding extraction

Code repo for the ICML 2024 paper "Automated Evaluation of Retrieval-Augmented Language Models with Task-Specific Exam Generation"

Implementation of UltraPixel: Advancing Ultra-High-Resolution Image Synthesis to New Peaks

Bring portraits to life!

MobileLLM Optimizing Sub-billion Parameter Language Models for On-Device Use Cases. In ICML 2024.

Dettoolchain: A new prompting paradigm to unleash detection ability of MLLM

The memory layer for Personalized AI

An Open-source Framework for Data-centric, Self-evolving Autonomous Language Agents

This is the repo for our paper "Mr-Ben: A Comprehensive Meta-Reasoning Benchmark for Large Language Models"

Neo4j graph construction from unstructured data using LLMs

Processing engine and React components for constructing configuration-based data transformation and processing pipelines.

A modular graph-based Retrieval-Augmented Generation (RAG) system

Agentless🐱: an agentless approach to automatically solve software development problems

Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities

AI for all: Build the large graph of the language models

The implementation of "Leeroo Orchestrator: Elevating LLMs Performance Through Model Integration"