litho's starred repositories
vit-pytorch
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
ReconFormer
ReconFormer: Accelerated MRI Reconstruction Using Recurrent Transformer
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, ... 🧠
pytorch-grad-cam
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
diffusion_models
A series of tutorial notebooks on denoising diffusion probabilistic models in PyTorch
fastMRI_prostate
A large scale dataset and reconstruction script of both raw prostate MRI measurements and images
fastmri-reproducible-benchmark
Try several methods for MRI reconstruction on the fastmri dataset. Home to the XPDNet, runner-up of the 2020 fastMRI challenge.
Intro-to-MRI
This is Jupyter notebook/python code developed for a UW-Madison introductory MRI class.
MRIreconUNET
Reconstruction of highly undersampled radial cardiac MRI with a U-Net
DiffusionDet
[ICCV2023 Best Paper Finalist] PyTorch implementation of DiffusionDet (https://arxiv.org/abs/2211.09788)
Palette-Image-to-Image-Diffusion-Models
Unofficial implementation of Palette: Image-to-Image Diffusion Models by Pytorch
pytorch-cnn-visualizations
Pytorch implementation of convolutional neural network visualization techniques
Deep-MRI-Reconstruction
Deep Cascade of Convolutional Neural Networks for MR Image Reconstruction: Implementation & Demo
benchmark_VAE
Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)
pytorch-msssim
Fast and differentiable MS-SSIM and SSIM for pytorch.