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4dsegment2.0

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, ... 🧠

automated-cardiac-segmentation-and-disease-diagnosis

Fully Convolutional Multi-scale Residual DenseNets for Cardiac Segmentation and Automated Cardiac Diagnosis using Ensemble of Classifiers

autoticket

大麦网自动抢票工具

awesome-diffusion-models-in-medical-imaging

Diffusion Models in Medical Imaging

cardiacshapemodel

daa-gan

Controllable cardiac synthesis via disentangled anatomy arithmetic

doublexbepa.github.io

generalizedmedseg

Recent progress on domain adaption/generalization for medical image segmentation

hello-world

it-net

Implementation of Iterative Transformer Network for 3D Point Cloud

jd_seckill

京东秒杀商品抢购，目前只支持茅台抢购，不支持其他商品！

leetcode

记录自己刷LeetCode的记录

mi-prediction

Predicting Myocardial Infarction through Retinal Scans and Minimal Personal Information

miccai-opensourcepapers

MICCAI 2020 Open Source Papers

miniviewer

A little viewer for visualizing medical images and respective labels

nnunet

onmyojiautoscript

Onmyoji Auto Script | 阴阳师脚本

point-transformer-pytorch

Implementation of the Point Transformer layer, in Pytorch

pointcloudvae

VAE for point clouds

pointnet-autoencoder

Autoencoder for Point Clouds

pytorch-cifar

95.47% on CIFAR10 with PyTorch

spatiotemporalcnn_lvquan

Left ventricle quantification through spatio-temporal CNNs

statistical-shape-model

Statistical shape model of the heart

thesis

Bachelor's thesis about VAEs on 3D point clouds

voxel2mesh

Voxel2Mesh: 3D Mesh Model Generation from Volumetric Data