ahmed-ballah Goto Github PK

awesome-fl

Comprehensive and timely academic information on federated learning (papers, frameworks, datasets, tutorials, workshops)

awesome-semantic-segmentation

:metal: awesome-semantic-segmentation

awesome-transformer-attention

An ultimately comprehensive paper list of Vision Transformer/Attention, including papers, codes, and related websites

awesome-u-net

Official repo for Medical Image Segmentation Review: The success of U-Net

brainmrnet

braintumorsegmentation

胶质瘤图像分割，包括常用的U-Net网络和V-Net网络等（2D和3D）。

dcm2niix

dcm2nii DICOM to NIfTI converter: compiled versions available from NITRC

deep-learning-for-image-processing

deep learning for image processing including classification and object-detection etc.

deeplearningexamples

State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.

doing_the_phd

eat_pytorch_in_20_days

Pytorch🍊🍉 is delicious, just eat it! 😋😋

external-attention-pytorch

🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

https-github.com-alexklwong-subpixel-embedding-segmentation

https-github.com-anindox8-deeplearningexamples

https-github.com-king-haw-atlas-r2-docker-submission

https-github.com-mateuszbuda-medical-datasets

https-github.com-phlippe-uvadlc_notebooks-tree-master-docs

image-segmentation-keras

Implementation of Segnet, FCN, UNet , PSPNet and other models in Keras.

ischemic-stroke-lesion-segmentation

isles2018

Code and models for the paper ISLES Challenge: U-shaped Convolution Neural Network with Dilated Convolution for 3D Stroke Lesion Segmentation

ivy

The Unified Machine Learning Framework

learn-python-the-smart-way-v2

聪明办法学Python，简明且系统的 Python 入门教程第二版。

learning_research

本人博士期间的科研经验

learningnote

some resources on my path in deep learning and medical image analysis

nnunet

segloss

A collection of loss functions for medical image segmentation

semantic-segmentation-loss-functions

This Repository is implementation of majority of Semantic Segmentation Loss Functions

sota-brain-tumor-segmentation

transformer-in-computer-vision

A paper list of some recent Transformer-based CV works.

uncertainty-baselines

High-quality implementations of standard and SOTA methods on a variety of tasks.