Free ChatGPT&DeepSeek API Key，免费ChatGPT&DeepSeek API。免费接入DeepSeek API和GPT4 API，支持 gpt | deepseek | claude | gemini | grok 等排名靠前的常用大模型。

A next.js web application that integrates AI capabilities with draw.io diagrams. This app allows you to create, modify, and enhance diagrams through natural language commands and AI-assisted visual…

LangGraph 1.0 Tutorial

Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)

快速提取音视频内容，整理成一份结构化的markdown笔记

Ola: Pushing the Frontiers of Omni-Modal Language Model

Grounded SAM 2: Ground and Track Anything in Videos with Grounding DINO, Florence-2 and SAM 2

Fully open reproduction of DeepSeek-R1

Tarsier -- a family of large-scale video-language models, which is designed to generate high-quality video descriptions , together with good capability of general video understanding.

One-for-All Multimodal Evaluation Toolkit Across Text, Image, Video, and Audio Tasks

PyTorch code and models for the DINOv2 self-supervised learning method.

A minimal codebase for finetuning large multimodal models, supporting llava-1.5/1.6, llava-interleave, llava-next-video, llava-onevision, llama-3.2-vision, qwen-vl, qwen2-vl, phi3-v etc.

TransNet V2: Shot Boundary Detection Neural Network

[NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.

Official inference repo for FLUX.1 models

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

Qwen3-VL is the multimodal large language model series developed by Qwen team, Alibaba Cloud.

Use PEFT or Full-parameter to CPT/SFT/DPO/GRPO 600+ LLMs (Qwen3, Qwen3-MoE, DeepSeek-R1, GLM4.5, InternLM3, Llama4, ...) and 300+ MLLMs (Qwen3-VL, Qwen3-Omni, InternVL3.5, Ovis2.5, GLM4.5v, Llava, …

[ICCV 2025] LLaVA-CoT, a visual language model capable of spontaneous, systematic reasoning

Inpaint anything using Segment Anything and inpainting models.

🔥🔥🔥 [IEEE TCSVT] Latest Papers, Codes and Datasets on Vid-LLMs.

Collection of AWESOME vision-language models for vision tasks

a state-of-the-art-level open visual language model | 多模态预训练模型

将微信读书划线同步到Notion

The easiest way to serve AI apps and models - Build Model Inference APIs, Job queues, LLM apps, Multi-model pipelines, and more!

PyTorch implementation of MAE https//arxiv.org/abs/2111.06377

We use MixedWM38, the mixed-type wafer defect pattern dataset for wafer defect pattern regcognition with visual transformers.

Bag of Visual Feature with Hamming Enbedding, Reranking