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

Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything

Reference PyTorch implementation and models for DINOv3

[NeurIPS 2024 Best Paper Award][GPT beats diffusion🔥] [scaling laws in visual generation📈] Official impl. of "Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction". A…

Qwen2.5-Omni is an end-to-end multimodal model by Qwen team at Alibaba Cloud, capable of understanding text, audio, vision, video, and performing real-time speech generation.

Notes about courses Dive into Deep Learning by Mu Li

Python实用教程，包括：Python基础，Python高级特性，面向对象编程，多线程，数据库，数据科学，Flask，爬虫开发教程。

Official repository of 'Visual-RFT: Visual Reinforcement Fine-Tuning' & 'Visual-ARFT: Visual Agentic Reinforcement Fine-Tuning'’

Official code for "FeatUp: A Model-Agnostic Frameworkfor Features at Any Resolution" ICLR 2024

从零实现一个 llama3 中文版

The official implementation of Segment Any 3D GAussians (AAAI-25)

《动手学深度学习》习题解答，在线阅读地址如下：

Code for ICML 2025 Paper "Highly Compressed Tokenizer Can Generate Without Training"

Open-vocabulary Object Segmentation with Diffusion Models

Code implementation of the paper "World-in-World: World Models in a Closed-Loop World"

机器人走迷宫，Pytorch，强化学习，DQN。