clip

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 🔥

Add object detection, tracking, mobile notifications, and search to any security camera.

[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.

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

🔥🔥🔥Java免费离线AI算法工具箱，支持人脸识别，活体检测，表情识别、目标检测、实例分割、行人检测、OCR文字识别、车牌识别、表格识别、ASR+TTS、机器翻译等功能，Maven引用即可使用。支持PyTorch、Tensorflow，已集成 Mtcnn、InsightFace、SeetaFace6、YOLOv8~v12、PaddleOCR(PPOCRv5)、Whisper等主流模型

CLIP + FFT/DWT/RGB = text to image/video

New generation of CLIP with strong fine grained discrimination capability, ICML2026 and ICML2025

Paddle Multimodal Integration and eXploration, supporting mainstream multi-modal tasks, including end-to-end large-scale multi-modal pretrain models and diffusion model toolbox. Equipped with high performance and flexibility.

TrailSnap (行影集) | AI-Powered open-source photo album for travel & life memories.（AI赋能的开源相册工具，珍藏旅行与生活点滴）

A most Frontend Collection and survey of vision-language model papers, and models GitHub repository. Continuous updates.

LLM2CLIP significantly improves already state-of-the-art CLIP models.

Twitch Stream & Video & Clip Downloader/Recorder. This GUI downloader helps you download and record Twitch videos, including broadcasts and VODs.

Extract video features from raw videos using multiple GPUs. We support RAFT flow frames as well as S3D, I3D, R(2+1)D, VGGish, CLIP, and TIMM models.

👁️ + 💬 + 🎧 = 🤖 Curated list of top foundation and multimodal models! [Paper + Code + Examples + Tutorials]

Keras beit,caformer,CMT,CoAtNet,convnext,davit,dino,efficientdet,edgenext,efficientformer,efficientnet,eva,fasternet,fastervit,fastvit,flexivit,gcvit,ghostnet,gpvit,hornet,hiera,iformer,inceptionnext,lcnet,levit,maxvit,mobilevit,moganet,nat,nfnets,pvt,swin,tinynet,tinyvit,uniformer,volo,vanillanet,yolor,yolov7,yolov8,yolox,gpt2,llama2, alias kecam