zabboud's repositories
Augmentor
Image augmentation library in Python for machine learning.
CEM-RL
Combining Evolutionary Algorithms and deep RL in various ways
dcem
The Differentiable Cross-Entropy Method
dlwpt-code
Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.
elasticdeform
Differentiable elastic deformations for N-dimensional images (Python, SciPy, NumPy, TensorFlow, PyTorch).
google-research-metrics
Google Research
Learn_Noisy_Labels_Medical_Images
[NeurIPS 2020] Disentangling Human Error from the Ground Truth in Segmentation of Medical Images
lml
The Limited Multi-Label Projection Layer
mbrl-lib
Library for Model Based RL
pncnn
The official PyTorch implementation for "Uncertainty-Aware CNNs for Depth Completion: Uncertainty from Beginning to End"
probabilistic_unet
A U-Net combined with a variational auto-encoder that is able to learn conditional distributions over semantic segmentations.
PyTorch_ProbUNet
Probabilistic U-Net with MC-Dropout
MedMNIST
[pip install medmnist] 18x Standardized Datasets for 2D and 3D Biomedical Image Classification
MedMNIST-experiments
Codebase for reproducible benchmarking experiments in MedMNIST v2
pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Radiology_Image_Preprocessing_for_Deep_Learning
A Quick Guide on Radiology Image Pre-processing for Deep Learning Applications in Prostate Cancer Research
Semantic-Segmentation-Loss-Functions
This Repository is implementation of majority of Semantic Segmentation Loss Functions
shifts
This repository contains data readers and examples for the three tracks of the Shifts Dataset and the Shifts Challenge.
tutorials
PyTorch tutorials.
uqinmia-miccai-2023
Repository associated to the UQinMIA Tutorial @ MICCAI 2023