Agent Zero AI framework

Official code for PuLID: Pure and Lightning ID Customization via Contrastive Alignment

DSPy: The framework for programming—not prompting—foundation models

Flower: A Friendly Federated Learning Framework

Text-to-video generation: CogVideoX (2024) and CogVideo (ICLR 2023)

[CVPR 2024 Oral] InternVL Family: A Pioneering Open-Source Alternative to GPT-4o. 接近GPT-4o表现的开源多模态对话模型

Open-source evaluation toolkit of large vision-language models (LVLMs), support ~100 VLMs, 40+ benchmarks

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

Framework agnostic sliced/tiled inference + interactive ui + error analysis plots

[ECCV 2024] Elysium: Exploring Object-level Perception in Videos via MLLM

Turns Data and AI algorithms into production-ready web applications in no time.

E5-V: Universal Embeddings with Multimodal Large Language Models

Change detection of remote sensing images

An LLM-powered knowledge curation system that researches a topic and generates a full-length report with citations.

Bag of Tricks: Benchmarking of Jailbreak Attacks on LLMs. Empirical tricks for LLM Jailbreaking.

Official Repository of paper VideoGPT+: Integrating Image and Video Encoders for Enhanced Video Understanding

fabric is an open-source framework for augmenting humans using AI. It provides a modular framework for solving specific problems using a crowdsourced set of AI prompts that can be used anywhere.

Composio equip's your AI agents & LLMs with 100+ high-quality integrations via function calling

Drop in a screenshot and convert it to clean code (HTML/Tailwind/React/Vue)

A curated list of papers and resources related to Described Object Detection, Open-Vocabulary/Open-World Object Detection and Referring Expression Comprehension. Updated frequently and pull request…

Extract clean markdown from PDFs, URLs, Word docs, slides, videos, and more, ready for any LLM. ⚡

Real-time and accurate open-vocabulary end-to-end object detection

A Survey on Vision-Language Geo-Foundation Models (VLGFMs)

Techniques for deep learning with satellite & aerial imagery

Automated prompt-based testing and evaluation of Gen AI applications

Depth Anything V2. A More Capable Foundation Model for Monocular Depth Estimation