X-AnyLabeling: A lightweight, efficient, and unified cross-platform desktop application for annotating text, image, video, and multimodal data, combining versatile built-in tools with state-of-the-art AI models and flexible multi-format export.

Chinese version of CLIP which achieves Chinese cross-modal retrieval and representation generation.

开放源码的无App推送服务，iOS14+扫码即用。亦支持快应用/iOS和Mac客户端、Android客户端、自制设备

Open-source evaluation toolkit of large multi-modality models (LMMs), support 220+ LMMs, 80+ benchmarks

OpenMMLab Pre-training Toolbox and Benchmark

中文nlp解决方案(大模型、数据、模型、训练、推理)

Collection of AWESOME vision-language models for vision tasks

Image to prompt with BLIP and CLIP

Easily compute clip embeddings and build a clip retrieval system with them

🥂 Gracefully face hCaptcha challenge with multimodal large language model.

Cambrian-1 is a family of multimodal LLMs with a vision-centric design.

Android UI 快速开发，专治原生控件各种不服

Must-have resource for anyone who wants to experiment with and build on the OpenAI vision API 🔥

[ACL 2024 🔥] Video-ChatGPT is a video conversation model capable of generating meaningful conversation about videos. It combines the capabilities of LLMs with a pretrained visual encoder adapted for spatiotemporal video representation. We also introduce a rigorous 'Quantitative Evaluation Benchmarking' for video-based conversational models.

Pocket-Sized Multimodal AI for content understanding and generation across multilingual texts, images, and 🔜 video, up to 5x faster than OpenAI CLIP and LLaVA 🖼️ & 🖋️

Awesome list for research on CLIP (Contrastive Language-Image Pre-Training).

This series will take you on a journey from the fundamentals of NLP and Computer Vision to the cutting edge of Vision-Language Models.

Stable Diffusion in NCNN with c++, supported txt2img and img2img

Search photos on Unsplash using natural language

An official implementation for "CLIP4Clip: An Empirical Study of CLIP for End to End Video Clip Retrieval"