zhangyl660's Stars
WEIYanbin1999/GITA
[NeurIPS 2024] GITA: Graph to Image-Text Integration for Vision-Language Graph Reasoning
TheNetAdmin/zjuthesis
Zhejiang University Graduation Thesis LaTeX Template
zhangyl660/LERM
Official PyTorch implementation of Rethinking Guidance Information to Utilize Unlabeled Samples: A Label-Encoding Perspective.
Pengxin-Guo/Awesome-Multi-Task-Learning
Paper List for Multi-Task Learning (focus on architectures and optimization for MTL)
median-research-group/LibMTL
A PyTorch Library for Multi-Task Learning
ChenWu98/cycle-diffusion
[ICCV 2023] A latent space for stochastic diffusion models
greenbellpepper/GreenPepper
uta-smile/TVT
Code of TVT: Transferable Vision Transformer for Unsupervised Domain Adaptation, WACV 2023
easezyc/deep-transfer-learning
A collection of implementations of deep domain adaptation algorithms
jeonsworld/ViT-pytorch
Pytorch reimplementation of the Vision Transformer (An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale)
jindongwang/transferlearning
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
Zeleni9/pytorch-wgan
Pytorch implementation of DCGAN, WGAN-CP, WGAN-GP
mseitzer/pytorch-fid
Compute FID scores with PyTorch.
zhaoxin94/awesome-domain-adaptation
A collection of AWESOME things about domian adaptation
thuml/Transfer-Learning-Library
Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization
taki0112/GAN_Metrics-Tensorflow
Simple Tensorflow implementation of metrics for GAN evaluation (Inception score, Frechet-Inception distance, Kernel-Inception distance)
PaddlePaddle/PaddleDetection
Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.
ForrestPi/DefectDetection
some records and codes about Defect detection
Johncheng1/Fabric-defect-detection
Fabric defect detection based on computer vision
jhl13/notes