YuiTH's Repositories
YuiTH/Missing
计算机系老师不会教的一课
YuiTH/CEMS-SO
CEMS-SO dataset and CMPPN model.
YuiTH/arknights-mower
《明日方舟》长草助手
YuiTH/Assignment2
YuiTH/bop_toolkit
A Python toolkit of the BOP benchmark for 6D object pose estimation.
YuiTH/bts
From Big to Small: Multi-Scale Local Planar Guidance for Monocular Depth Estimation
YuiTH/ChatGPT-for-Translation
Use Python and ChatGPT for translation. 利用Python和ChatGPT完成翻译。
YuiTH/clean-pvnet
Code for "PVNet: Pixel-wise Voting Network for 6DoF Pose Estimation" CVPR 2019 oral
YuiTH/contracode
Contrastive Code Representation Learning: functionality-based JavaScript embeddings through self-supervised learning
YuiTH/DeepSpeed
DeepSpeed is a deep learning optimization library that makes distributed training easy, efficient, and effective.
YuiTH/DenseFusion
"DenseFusion: 6D Object Pose Estimation by Iterative Dense Fusion" code repository
YuiTH/Dice3
Dice! Version 3 基于酷Q的QQ跑团掷骰机器人
YuiTH/DiceV4
YuiTH/Dockerfiles
Many dockerfiles
YuiTH/DPR
Dense Passage Retriever - is a set of tools and models for open domain Q&A task.
YuiTH/gewuTRPG
A TRPG website for log.
YuiTH/manim
Animation engine for explanatory math videos
YuiTH/mirai
YuiTH/monodepth2
[ICCV 2019] Monocular depth estimation from a single image
YuiTH/OpenNMT-py
Open Source Neural Machine Translation in PyTorch
YuiTH/PCT_Pytorch
Pytorch implementation of PCT: Point Cloud Transformer
YuiTH/PVN3D
Code for "A Deep Point-wise 3D Keypoints Hough Voting Network for 6DoF Pose Estimation", CVPR 2020
YuiTH/python-pcl
Python bindings to the pointcloud library (pcl)
YuiTH/Pytorch-UNet
PyTorch implementation of the U-Net for image semantic segmentation with high quality images
YuiTH/raster_triangle
A simple renderer with z-buffer for synthesis data generating.
YuiTH/Scan2Cap
[CVPR 2021] Scan2Cap: Context-aware Dense Captioning in RGB-D Scans
YuiTH/ScanRefer
[ECCV 2020] ScanRefer: 3D Object Localization in RGB-D Scans using Natural Language
YuiTH/uda
Unsupervised Data Augmentation (UDA)
YuiTH/vit-pytorch
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
YuiTH/yas
Superfast Genshin Impact artifacts scanner