Top Repositories
Code and model of article "End-to-end learning of brain tissue segmentation from imperfect labeling" https://arxiv.org/abs/1612.00940
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].
Fusion is a self-supervised framework for data with multiple sources — specifically, multimodal neuroimaging data.
Tools to explore dynamic causal graphs in the case of undersampled data helping to unfold the apparent structure into the underlying truth.
Python example and scoring code for the PhysioNet Challenge 2026
Asynchronous Distributed Hyperparameter Optimization.
Repositories
27Python example and scoring code for the PhysioNet Challenge 2026
Asynchronous Distributed Hyperparameter Optimization.
Hydra Sweeper Plugin for Orion
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Fusion is a self-supervised framework for data with multiple sources — specifically, multimodal neuroimaging data.
Example models using DeepSpeed
TorchIO: medical imaging for deep learning.
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].
No description provided.
Dataloader that serves (f)MRI images from key-value databases (mongo and Redis to start with)
pyPPG v01
No description provided.
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Accelerated deep learning R&D
Welcome to the TReNDS cluster documentation. It provides example job submission scripts and guide to running various applications interactively on the GSU/TReNDS cluster.
Code and model of article "End-to-end learning of brain tissue segmentation from imperfect labeling" https://arxiv.org/abs/1612.00940
Tips for releasing research code in Machine Learning (with official NeurIPS 2020 recommendations)
Pretrained neural networks for UK Biobank brain MRI images. SFCN, 3D-ResNet etc.
A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.
:triangular_ruler: Jekyll theme for building a personal site, blog, project documentation, or portfolio.
PyTorch implementation of PatchAutoAugment
PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more
Hydra is a framework for elegantly configuring complex applications
Euclidean Neural Networks
A machine learning library for PyTorch
No description provided.
Tools to explore dynamic causal graphs in the case of undersampled data helping to unfold the apparent structure into the underlying truth.