Qwen2.5-VL is the multimodal large language model series developed by Qwen team, Alibaba Cloud.

每个人都能看懂的大模型知识分享，LLMs春/秋招大模型面试前必看，让你和面试官侃侃而谈

手把手带你实战 Huggingface Transformers 课程视频同步更新在B站与YouTube

TensorFlow code and pre-trained models for BERT

[Lumina Embodied AI Community] 具身智能入门指南 Embodied-AI-Guide

edition 2 of the slambook

deep learning for image processing including classification and object-detection etc.

[CVPR'24 Oral] Official repository of Point Transformer V3 (PTv3)

Pointcept: a codebase for point cloud perception research. Latest works: Sonata (CVPR'25), PTv3 (CVPR'24 Oral), PPT (CVPR'24), MSC (CVPR'23)

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

本项目旨在分享大模型相关技术原理以及实战经验（大模型工程化、大模型应用落地）

An API standard for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym)

Minimal and Clean Reinforcement Learning Examples

PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.

Dear ImGui: Bloat-free Graphical User interface for C++ with minimal dependencies

🔥3D点云目标检测&语义分割(深度学习)-SOTA方法,代码,论文,数据集等

Open3D: A Modern Library for 3D Data Processing

A large scale non-linear optimization library

🔥PCL（Point Cloud Library）点云库学习记录

自动驾驶笔记，以解析各模块知识点、整合行业优秀解决方案进行阐述，以帮助自己及有需要的读者；包含深度学习、deeplearning、无人驾驶、BEV、Transformer、ADAS、CVPR、特斯拉AI DAY、大模型、chatgpt等内容.

PyTorch3D is FAIR's library of reusable components for deep learning with 3D data

Threejs/glm (C++)/pyglet/Unity examples for deep understanding of projection matrix (OpenGL)

Samples for CUDA Developers which demonstrates features in CUDA Toolkit

Real-time 3D visualization of space.

A c++ implemtation of software rasterization application with pbr

Nvdiffrast - Modular Primitives for High-Performance Differentiable Rendering

Official implementation of "Neuralangelo: High-Fidelity Neural Surface Reconstruction" (CVPR 2023)

Official code for the CVPR 2022 (oral) paper "Extracting Triangular 3D Models, Materials, and Lighting From Images".

[IJCV2024] Exploiting Diffusion Prior for Real-World Image Super-Resolution