LuckyDog's Projects
100-Days-Of-ML-Code中文版
Fully-automated scripts for collecting AI-related papers
A collection of AWESOME things about domian adaptation
A collection of resources on applications of Transformers in Medical Imaging.
Contrastive unpaired image-to-image translation, faster and lighter training than cyclegan (ECCV 2020, in PyTorch)
PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO
My personal repository.
paper reviews
Official Implementation of "Domain Specific Batch Normalization for Unsupervised Domain Adaptation (CVPR2019)"
my first git practice!
我自己制作的广州大学Latex报告模板,有毕业设计,课程设计,毕业论文,等等🎈
ICCV 2021 论文和开源项目合集
Official Keras & PyTorch Implementation and Pre-trained Models for Models Genesis - MICCAI 2019
A paddle-paddle implementation for the paper Dense Contrastive Learning for Self-Supervised Visual Pre-Training
reviews and note books of papers
Pytorch Implementation for NeurIPS (oral) paper: Pixel Level Cycle Association: A New Perspective for Domain Adaptive Semantic Segmentation
PyTorch implementations of Generative Adversarial Networks.
StudioGAN is a Pytorch library providing implementations of representative Generative Adversarial Networks (GANs) for conditional/unconditional image generation.
A Collection of Variational Autoencoders (VAE) in PyTorch.
Segmentation models with pretrained backbones. PyTorch.
[ECCV'20] Self-supervision with Superpixels: Training Few-shot Medical Image Segmentation without Annotation (code&data-processing pipeline)
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
Implementation of C$^3$R: Category Contrastive Adaptation and Consistency Regularization for Cross-Modality Medical Image Segmentation