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Beijing University of Posts and Telecommunications
- Beijing, China
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21 Lessons, Get Started Building with Generative AI
《动手学大模型Dive into LLMs》系列编程实践教程
The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use th…
✔(已完结)超级全面的 深度学习 笔记【土堆 Pytorch】【李沐 动手学深度学习】【吴恩达 深度学习】【大飞 大模型Agent】
《李宏毅深度学习教程》(李宏毅老师推荐👍,苹果书🍎),PDF下载地址:https://github.com/datawhalechina/leedl-tutorial/releases
llama3 implementation one matrix multiplication at a time
LAVIS - A One-stop Library for Language-Vision Intelligence
🦙 LaMa Image Inpainting, Resolution-robust Large Mask Inpainting with Fourier Convolutions, WACV 2022
Inpaint anything using Segment Anything and inpainting models.
Metric depth estimation from a single image
Efficient neural feature detector and descriptor
Code for "Efficient LoFTR: Semi-Dense Local Feature Matching with Sparse-Like Speed", CVPR 2024
Python implementation of Visual Odometry algorithms from http://rpg.ifi.uzh.ch/
[3DV 2025 Best Paper] We present Object Images (Omages): An homage to the classic Geometry Images.
Code for "MegaPose: 6D Pose Estimation of Novel Objects via Render & Compare", CoRL 2022.
Repository for TorchSharp examples and tutorials.