bip5 Goto Github PK

acp-automatic-channel-pruning

alrao

Implementation of "Learning with Random Learning Rates" in PyTorch.

barlowtwins

PyTorch implementation of Barlow Twins.

bip5.github.io

brats21_winner

Codes and pretrained weights for winning submission of 2021 Brain Tumor Segmentation (BraTS) Challenge

bratsmonai

Saving code files here

clci_net

CLCI-Net: Cross-Level fusion and Context Inference Networks for Lesion Segmentation of Chronic Stroke

clcinet_-miccai2019-

CLCINet implemented by pytorch

d-unet

dice

test folder

expertmodels

Code for Expert Models paper submitted to MIUA2024

grid

hc

horse classification

lab_sheets_public

lesions

mlcw2020

multipathbmp

Source code for paper "A multi-path 2.5 dimensional convolutional neural network system for segmenting stroke lesions in brain MRI images"

osr_closed_set_all_you_need

Official repo for our paper: "Open-Set Recognition: A Good Closed-Set Classifier is All You Need"

pix2pixhd

Synthesizing and manipulating 2048x1024 images with conditional GANs

pl_curves

An example program used to teach test driven development.

planets

pytorch-gan

PyTorch implementations of Generative Adversarial Networks.

swin-transformer

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

tutorials

MONAI Tutorials

x-net

X-Net: Brain Stroke Lesion Segmentation Based on Depthwise Seperable Convolution and Long Range Dependencies (MICCAI 2019)