ahmed98adly

3D-Image-Classification-CT-Scans-

annotated_deep_learning_paper_implementations

🧠 Implementations/tutorials of deep learning papers with side-by-side notes; including transformers (original, xl, switch, feedback), optimizers(adam, radam, adabelief), gans(dcgan, cyclegan, stylegan2), reinforcement learning (ppo, dqn), capsnet, sketch-rnn, etc.

ComputerVision

direct

Deep learning framework for MRI reconstruction

espirit-python

Python ESPIRiT implementation.

fastMRI

A large-scale dataset of both raw MRI measurements and clinical MRI images

fastmri-plus

Data labels and scripts for fastMRI.org

graph_nets

PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT.

lightly

A python library for self-supervised learning on images.

models

Stores the MHub models dockerfiles and scripts.

ahmed98adly/ProjectWeek

Website for NA-MIC Project Weeks

ahmed98adly/pw

ahmed98adly/models

Stores the MHub models dockerfiles and scripts.

ahmed98adly/Sybil

Deep Learning for Lung Cancer Risk Prediction using LDCT

ahmed98adly/lightly

A python library for self-supervised learning on images.

ahmed98adly/Semi-supervised-learning

A Unified Semi-Supervised Learning Codebase (NeurIPS'22)

ahmed98adly/pytorch-grad-cam

Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.

ahmed98adly/pycox

Survival analysis with PyTorch

ahmed98adly/direct

Deep learning framework for MRI reconstruction

ahmed98adly/piq

Measures and metrics for image2image tasks. PyTorch.

ahmed98adly/fastmri-plus

Data labels and scripts for fastMRI.org

ahmed98adly/Transformer_for_medical_image_analysis

A collection of papers about Transformer in the field of medical image analysis.

ahmed98adly/self-attention-cv

Implementation of various self-attention mechanisms focused on computer vision. Ongoing repository.

ahmed98adly/Modified-DETR

The PyTorch re-implement of the official DETR.

ahmed98adly/annotated_deep_learning_paper_implementations

🧠 Implementations/tutorials of deep learning papers with side-by-side notes; including transformers (original, xl, switch, feedback), optimizers(adam, radam, adabelief), gans(dcgan, cyclegan, stylegan2), reinforcement learning (ppo, dqn), capsnet, sketch-rnn, etc.

ahmed98adly/vit-pytorch

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

ahmed98adly/graph_nets

PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT.

ahmed98adly/ComputerVision

ahmed98adly/perceiver-pytorch

Implementation of Perceiver, General Perception with Iterative Attention, in Pytorch

ahmed98adly/fastMRI

A large-scale dataset of both raw MRI measurements and clinical MRI images

ahmed98adly/Simple-Autoencoder-Cifar

ahmed98adly/skorch

A scikit-learn compatible neural network library that wraps PyTorch

ahmed98adly/mri-variationalnetwork

Source code to our paper: "Learning a Variational Network for Reconstruction of Accelerated MRI Data"

ahmed98adly/3D-Image-Classification-CT-Scans-

ahmed98adly/Sklearn

ahmed98adly/YOLO

PyTorch implementation of YOLO with some modification

ahmed98adly/espirit-python

Python ESPIRiT implementation.