Pinned Repositories
annotated_deep_learning_paper_implementations
🧑🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
elektronn3
A PyTorch-based library for working with 3D and 2D convolutional neural networks, with focus on semantic segmentation of volumetric biomedical image data
LightM-UNet
Pytorch implementation of "LightM-UNet: Mamba Assists in Lightweight UNet for Medical Image Segmentation"
pic
pytorch-deep-learning
Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.
R_clinical_model
R语言实战临床预测模型
SwinUnetArchitecturePytorch
The Swin-UNet is a version of the widely used U-Net architecture that combines the windowed attention mechanism of Swin transfomer with the U-Net framework.
Traffic4Cast2021-SwinUNet3D
WebSiteUseful
🍅 翻墙!科学上网,免费ss帐号分享、ssr订阅源,免费VPN下载,获取及使用教程请看:https://github.com/loremwalker/fq-book
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