xuyuting45's repositories
incubator-mxnet
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more
nerf-pytorch
A PyTorch implementation of NeRF (Neural Radiance Fields) that reproduces the results.
Source-Codes-3DVison
Source codes collection for 3d vision 视觉三维重建领域的源码收集
vscode_config
config file for vscode (including C++ & Python)
2D-3D-matching
Registration of 2D images with 3D point clouds
aerial_mapper
Real-time Dense Point Cloud, Digital Surface Map (DSM) and (Ortho-)Mosaic Generation for UAVs
Algorithm_Interview_Notes-Chinese
2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记
awesome-mvs
A curated list of tutorials, papers, software related to multi-view stereo.
awesome-self-supervised-learning
A curated list of awesome self-supervised methods
awesome-semi-supervised-learning
:scroll: An up-to-date & curated list of awesome semi-supervised learning papers, methods & resources.
CenterNet
Object detection, 3D detection, and pose estimation using center point detection:
COTR
Code release for "COTR: Correspondence Transformer for Matching Across Images"(ICCV 2021)
CPlusPlusThings
C++那些事
DeepLearning-500-questions
深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06
DL-Algorithm-Summary
深度学习总结，包含基础知识、目标检测、目标跟踪、目标分类，深度学习八股文，相关竞赛等
fair_self_supervision_benchmark
Scaling and Benchmarking Self-Supervised Visual Representation Learning
fixmatch
A simple method to perform semi-supervised learning with limited data.
folly
An open-source C++ library developed and used at Facebook.
GlueStick
Joint Deep Matcher for Points and Lines 🖼️💥🖼️ (ICCV 2023)
ImageMatching-OETR
This is the official implementation in PyTorch for AAAI2022 paperGuide Local Feature Matching by Overlap Estimation and also contain a image matching toolbox.
liblbfgs
libLBFGS: a library of Limited-memory Broyden-Fletcher-Goldfarb-Shanno (L-BFGS)
nanodet
⚡Super fast and lightweight anchor-free object detection model. 🔥Only 1.8mb and run 97FPS on cellphone🔥
OpenGlue
Open Source Graph Neural Net Based Pipeline for Image Matching
proxylessnas
[ICLR 2019] ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware
ssl_detection
Semi-supervised learning for object detection
UAVProduct
处理无人机影像的代码，使用了OpenMVG，openMVS以及GDAL库等，实现影像几何校正，影像拼接，点云生成等功能