BoxMOT: Pluggable SOTA multi-object tracking modules modules for segmentation, object detection and pose estimation models

Effortless data labeling with AI support from Segment Anything and other awesome models.

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

Unified embedding generation and search engine. Also available on cloud - cloud.marqo.ai

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

OpenMMLab Pre-training Toolbox and Benchmark

中文nlp解决方案(大模型、数据、模型、训练、推理)

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

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.

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

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

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