masadcv

FastGeodis

Fast Implementation of Generalised Geodesic Distance Transform for CPU (OpenMP) and GPU (CUDA)

ECONet-MONAILabel

Official Implementation of ECONet: Efficient Convolutional Online Likelihood Network for Interactive Segmentation

torchmaxflow

PyTorch-based implementation of Max-flow/Min-cut (graphcut) for 2D/3D data

MONet-MONAILabel

Official PyTorch implementation for "Adaptive Multi-scale Online Likelihood Network for AI-assisted Interactive Segmentation" (MONet)

PROPEL

Official PyTorch implementation for "PROPEL: Probabilistic Parametric Regression Loss for Convolutional Neural Networks"

PyTorchHaarFeatures

Efficient implementation of Haar-Like features for 2d and 3d inputs in PyTorch (supports both GPU/CPU)

masadcv.github.io

Personal academic/research website

MONAILabel

MONAI Label (Development in Progress)

numpymaxflow

Numpy-based implementation of Max-flow/Min-cut (graphcut) for 2D/3D data

SettingUpUbuntu

Collection of initial setup steps

SimplestDeepLearningRegressor

Simplest training flow for deep learning regression models with PyTorch

MONAI

AI Toolkit for Healthcare Imaging

CLIP

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

CroCNet

guided-diffusion

how-to

List of how-to tutorials, mostly for Debian/Ubuntu/Linux related stuff.

Medical-Image-Segmentation-From--Scratch-

MnM2_Codes

MONAI-Diffusion

python-engineer-notebooks

pytorch-cifar

95.47% on CIFAR10 with PyTorch

PyTorch_Segmentation

PyTorchSamePaddingExplainer

PyTorchSparseModules

Collection of learnable sparse modules for pytorch models

ScribblesSampleData

SimplestDeepLearningClassifier

TensorboardVisualiser

torch-extension-builder

Docker images and github actions for building packages containing PyTorch C++/CUDA extensions.

torchgaussianfilter

Efficient Gaussian Filtering using PyTorch

VSCodeForResearchCode

VSCode setup for research related coding tasks