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awesome-mlss

List of summer schools in machine learning + related fields across the globe

benchmark_vae

Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)

cnnimageretrieval-pytorch

CNN Image Retrieval in PyTorch: Training and evaluating CNNs for Image Retrieval in PyTorch

codesnippets

concurrent-dataloader

Profiling and Improving the PyTorch Dataloader for high-latency Storage

darts

Differentiable architecture search for convolutional and recurrent networks

ddos

deepsentiment

denseinferencewrapper

A python wrapper for Krähenbühls dense CRF for medical image volumes.

diagnopp

Diagno++: Exploration of Interpretability Techniques for Deep COVID-19 Classification using Chest X-ray Images

diffae

Official implementation of Diffusion Autoencoders

dilithium

DILITHIUM: Deep learning with less-to-no supervision for the segmentation of vessels in high-resolution 7T MRAs using unsupervised and weakly-supervised learning

ds6

DS6: Deformation-aware learning for small vesselsegmentation with small, imperfectly labeled dataset

evaluatesegmentation

A program to evaluate the quality of image segmentations.

fastmri

A large-scale dataset of both raw MRI measurements and clinical MRI images

framing-unet

## Quick and naive implementation of framing U-net paper in Keras (tf backend)

ftsuperresdynmri

gpmodels

gwaslab

A Python package for handling and visualizing GWAS summary statistics. https://cloufield.github.io/gwaslab/

ismrmrd-python-tools

ISMRMRD Python Toolbox

latent_eval_latte

Latte: Cross-framework Python Package for Evaluation of Latent-based Generative Models

ldsc

LD Score Regression (LDSC)

mapvbvdpy

Python port of Philipp Ehses's mapVBVD written in Matlab

micdir

MICDIR

mrconduit

mrtpyt

MRT_PYT: MR Thermometry Toolkit for Python

mrunder

A project for artificially undersampling MR (Magnetic Resonance) Images, using various Cartesian and Radial sampling patterns. Modules from project can also be used for generating under-sampling patterns, that can be used with the scanner

ncc1701

perceptualsimilarity

LPIPS metric. pip install lpips

pretorched-x

Pretrained Image & Video ConvNets for PyTorch: NASNet, ResNeXt (2D + 3D), ResNet (2D + 3D), InceptionV4, InceptionResnetV2, Xception, DPN, NonLocalNets, R(2+1)D nets, MultiView CNNs, Temporal Relation Networks, etc.