Pinned Repositories
2D_VAE_UDA_for_3D_sythesis
Pytorch implementation of MICCAI-2022 paper, Domain-adaptive 3D Medical Image Synthesis: An Efficient Unsupervised Approach https://arxiv.org/pdf/2207.00844.pdf
3dbraingen
Official Pytorch Implementation of "Generation of 3D Brain MRI Using Auto-Encoding Generative Adversarial Network" (accepted by MICCAI 2019)
3DUnetCNN
Pytorch 3D U-Net Convolution Neural Network (CNN) designed for medical image segmentation
adapt-image-models
[ICLR'23] AIM: Adapting Image Models for Efficient Video Action Recognition
adapter-transformers
Huggingface Transformers + Adapters = ❤️
AdvMIL
The implementation of Adversarial Multiple Instance Learning for the Survival Analysis on Whole-Slide Images
annotated_deep_learning_paper_implementations
🧑🏫 59 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
automl
Google Brain AutoML
awesome-AI-cheatsheets
AI与数据科学各类工具库速查表与参考代码
BigGAN-PyTorch
The author's officially unofficial PyTorch BigGAN implementation.
MuyangLY's Repositories
MuyangLY/EigenGAN-Tensorflow
EigenGAN: Layer-Wise Eigen-Learning for GANs (ICCV 2021)
MuyangLY/coursera-ai-for-medicine-specialization
Programming assignments, labs and quizzes from all courses in the Coursera AI for Medicine Specialization offered by deeplearning.ai
MuyangLY/Vox2Vox
Vox2Vox: 3D GAN for image segmentation using tensorflow-keras
MuyangLY/lecam-gan
Regularizing Generative Adversarial Networks under Limited Data (CVPR 2021)
MuyangLY/TensorFlow_AdvancedTechniques
TensorFlow: Advances Techniques Specialization by deeplearning.ai
MuyangLY/DAF3D
Deep Attentive Features for Prostate Segmentation in 3D Transrectal Ultrasound
MuyangLY/PyQt5
《PyQt5快速开发与实战》配套代码
MuyangLY/TANet
The AAAI-2020 Paper(Oral):"TANet: Robust 3D Object Detection from Point Clouds with Triple Attention"
MuyangLY/vox2vox-torch
3D volume-to-volume generative adversarial network for medical image segmentation
MuyangLY/FewShot_GAN-Unet3D
Tensorflow implementation of our paper: Few-shot 3D Multi-modal Medical Image Segmentation using Generative Adversarial Learning
MuyangLY/sparse-sharing
Codes for "Learning Sparse Sharing Architectures for Multiple Tasks"
MuyangLY/Deep-Learning-Tensorflow2
基于Tensorflow2的深度学习开源书籍
MuyangLY/nodeManager
Manage nodes based on QGraphicsView
MuyangLY/QGraphicsSceneExample
An example of QGraphicsScene with drag and drop and ability of connecting graphical items
MuyangLY/ProgressiveGAN3D
Progressive Growing of GANs for Improved Quality, Stability, and Variation
MuyangLY/self-attention-gan
MuyangLY/GraphicsShape
Qt QGraphics 鼠标拖动绘制基本几何图形(直线、矩形、圆形、椭圆),并可选中图形进行拖动。
MuyangLY/PixelShuffle3D
implement of PixelShuffle3D module with pytorch
MuyangLY/improved-gan
Code for the paper "Improved Techniques for Training GANs"
MuyangLY/UNet-Zoo
A collection of UNet and hybrid architectures in PyTorch for 2D and 3D Biomedical Image segmentation
MuyangLY/MiniDraw
A simple Qt painter program using QGraphicsView, QGraphicsScene and QGraphicsItem.