Pinned Repositories
ConditionalRandomForestFace
Conditional Random Forest for Facial Feature Regression - CVPR 2012
ECONet-MONAILabel
Official Implementation of ECONet: Efficient Convolutional Online Likelihood Network for Interactive Segmentation
FastGeodis
Fast Implementation of Generalised Geodesic Distance Transform for CPU (OpenMP) and GPU (CUDA)
KDEMaltab
Kernel Density Estimation code - Matlab R2014b Windows
MONet-MONAILabel
Official PyTorch implementation for "Adaptive Multi-scale Online Likelihood Network for AI-assisted Interactive Segmentation" (MONet)
numpymaxflow
Numpy-based implementation of Max-flow/Min-cut (graphcut) for 2D/3D data
OpenCVKinect
Provides method to access Kinect Color and Depth Stream in OpenCV Mat format.
OpenCVParticleFilter
Particle Filter Framework Implementation using OpenCV C++
PROPEL
Official PyTorch implementation for "PROPEL: Probabilistic Parametric Regression Loss for Convolutional Neural Networks"
torchmaxflow
PyTorch-based implementation of Max-flow/Min-cut (graphcut) for 2D/3D data
masadcv's Repositories
masadcv/FastGeodis
Fast Implementation of Generalised Geodesic Distance Transform for CPU (OpenMP) and GPU (CUDA)
masadcv/ECONet-MONAILabel
Official Implementation of ECONet: Efficient Convolutional Online Likelihood Network for Interactive Segmentation
masadcv/torchmaxflow
PyTorch-based implementation of Max-flow/Min-cut (graphcut) for 2D/3D data
masadcv/MONet-MONAILabel
Official PyTorch implementation for "Adaptive Multi-scale Online Likelihood Network for AI-assisted Interactive Segmentation" (MONet)
masadcv/PROPEL
Official PyTorch implementation for "PROPEL: Probabilistic Parametric Regression Loss for Convolutional Neural Networks"
masadcv/PyTorchHaarFeatures
Efficient implementation of Haar-Like features for 2d and 3d inputs in PyTorch (supports both GPU/CPU)
masadcv/masadcv.github.io
Personal academic/research website
masadcv/MONAILabel
MONAI Label (Development in Progress)
masadcv/numpymaxflow
Numpy-based implementation of Max-flow/Min-cut (graphcut) for 2D/3D data
masadcv/SettingUpUbuntu
Collection of initial setup steps
masadcv/SimplestDeepLearningRegressor
Simplest training flow for deep learning regression models with PyTorch
masadcv/MONAI
AI Toolkit for Healthcare Imaging
masadcv/MONAI-Diffusion
masadcv/CLIP
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
masadcv/CroCNet
masadcv/guided-diffusion
masadcv/how-to
List of how-to tutorials, mostly for Debian/Ubuntu/Linux related stuff.
masadcv/Medical-Image-Segmentation-From--Scratch-
masadcv/MnM2_Codes
masadcv/python-engineer-notebooks
masadcv/pytorch-cifar
95.47% on CIFAR10 with PyTorch
masadcv/PyTorch_Segmentation
masadcv/PyTorchSamePaddingExplainer
masadcv/PyTorchSparseModules
Collection of learnable sparse modules for pytorch models
masadcv/ScribblesSampleData
masadcv/SimplestDeepLearningClassifier
masadcv/TensorboardVisualiser
masadcv/torch-extension-builder
Docker images and github actions for building packages containing PyTorch C++/CUDA extensions.
masadcv/torchgaussianfilter
Efficient Gaussian Filtering using PyTorch
masadcv/VSCodeForResearchCode
VSCode setup for research related coding tasks