bobih-9's repositories
YOLOv3-UDA-Master_Thesis
A minimal PyTorch implementation of YOLOv3, with support for training, inference and evaluation. An addtional implementation of two Unsupervised Domain Adaptation methods (Direct Entropy Minimization and Fourier Domain Adaptation) integrated in the architecture.
M3L
Pytorch implementation for M^3L
Awesome-CVPR-Paper
CVPR 论文收集，包含但不限于2021、2020、2019、2018、2017文章
FightingCoder
写给程序员的电子书《逆天改命——启舰的100条程序员人生建议》
CVPR2021-Paper-Code-Interpretation
cvpr2021/cvpr2020/cvpr2019/cvpr2018/cvpr2017 论文/代码/解读/直播合集，极市团队整理
rgbt-ped-detection
KAIST Multispectral Pedestrian Detection Benchmark [CVPR '15]
transferlearning-tutorial
《迁移学习简明手册》LaTex源码
BaSNet-pytorch
Official Pytorch Implementation of 'Background Suppression Network for Weakly-supervised Temporal Action Localization' (AAAI-20)
GPA-detection
Implementation of Cross-domain Detection via Graph-induced Prototype Alignment (CVPR 2020 Oral).
autoLabeling
自动标注工具
gpt-neo
An implementation of model parallel GPT2& GPT3-like models, with the ability to scale up to full GPT3 sizes (and possibly more!), using the mesh-tensorflow library.
Transfer-Learning
这是一个有关迁移学习的仓库，在这里可以看到迁移学习的各种用法。
DeepLearning
深度学习入门教程, 优秀文章, Deep Learning Tutorial
ML-notes
notes about machine learning
models
Pre-trained and Reproduced Deep Learning Models （『飞桨』官方模型库，包含多种学术前沿和工业场景验证的深度学习模型）
SparseR-CNN
End-to-End Object Detection with Learnable Proposal
Java
All Algorithms implemented in Java
Yolo_mark
GUI for marking bounded boxes of objects in images for training neural network Yolo v3 and v2
deep-learning-project-template
Pytorch Lightning code guideline for conferences
PyTorch_Practice
这是我学习 PyTorch 的笔记对应的代码，点击查看 PyTorch 笔记在线电子书
PointRCNN
PointRCNN: 3D Object Proposal Generation and Detection from Point Cloud, CVPR 2019.
DG-YOLO
TOWARDS DOMAIN GENERALIZATION IN UNDERWATER OBJECT DETECTION
MathModel
研究生数学建模，本科生数学建模、数学建模竞赛优秀论文，数学建模算法，LaTeX论文模板，算法思维导图，参考书籍，Matlab软件教程，PPT
pytorch-faster-rcnn
pytorch based implementation faster rcnn
L2A-OT
This repository is an unofficial implementation in PyTorch for Learning to Generate Novel Domains for Domain Generalization