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