Pinned Repositories
Acute-stroke_Detection_Segmentation
Boosting-Sex-Identification-Performance
bsp-book
catalyst
Accelerated deep learning R&D
cortex
A machine learning library for PyTorch
DALI
A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.
fusion
Fusion is a self-supervised framework for data with multiple sources — specifically, multimodal neuroimaging data.
gunfolds
Tools to explore dynamic causal graphs in the case of undersampled data helping to unfold the apparent structure into the underlying truth.
MeshNet
Code and model of article "End-to-end learning of brain tissue segmentation from imperfect labeling" https://arxiv.org/abs/1612.00940
meshnet-pytorch
This repository contains a PyTorch implementation of MeshNet architecture. MeshNet is a volumetric convolutional neural network for image segmentation (focused on brain imaging application) based on dilated kernels [1].
Entodi's Repositories
Entodi/MeshNet
Code and model of article "End-to-end learning of brain tissue segmentation from imperfect labeling" https://arxiv.org/abs/1612.00940
Entodi/meshnet-pytorch
This repository contains a PyTorch implementation of MeshNet architecture. MeshNet is a volumetric convolutional neural network for image segmentation (focused on brain imaging application) based on dilated kernels [1].
Entodi/fusion
Fusion is a self-supervised framework for data with multiple sources — specifically, multimodal neuroimaging data.
Entodi/gunfolds
Tools to explore dynamic causal graphs in the case of undersampled data helping to unfold the apparent structure into the underlying truth.
Entodi/Acute-stroke_Detection_Segmentation
Entodi/Boosting-Sex-Identification-Performance
Entodi/bsp-book
Entodi/catalyst
Accelerated deep learning R&D
Entodi/cortex
A machine learning library for PyTorch
Entodi/DALI
A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.
Entodi/DeepSpeedExamples
Example models using DeepSpeed
Entodi/hydra
Hydra is a framework for elegantly configuring complex applications
Entodi/minimal-mistakes
:triangular_ruler: Jekyll theme for building a personal site, blog, project documentation, or portfolio.
Entodi/GODA_pyPPG
pyPPG v01
Entodi/mindfultensors
Dataloader that serves (f)MRI images from key-value databases (mongo and Redis to start with)
Entodi/orion
Asynchronous Distributed Hyperparameter Optimization.
Entodi/PatchAutoAugment
PyTorch implementation of PatchAutoAugment
Entodi/pytorch-image-models
PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more
Entodi/releasing-research-code
Tips for releasing research code in Machine Learning (with official NeurIPS 2020 recommendations)
Entodi/se3cnn
Euclidean Neural Networks
Entodi/technical-discussion
This is a demo repo for sharing ideas around communication
Entodi/torchio
TorchIO: medical imaging for deep learning.
Entodi/UKBiobank_deep_pretrain
Pretrained neural networks for UK Biobank brain MRI images. SFCN, 3D-ResNet etc.
Entodi/Undersampled_Graph_Estimation
Entodi/wiki
Welcome to the TReNDS cluster documentation. It provides example job submission scripts and guide to running various applications interactively on the GSU/TReNDS cluster.