alexrakowski

pygscatalog

Python applications and libraries for working with PGS data and the PGS Catalog

curlconverter

Transpile curl commands into Python, JavaScript and 27 other languages

BR-Net

GIN

Code for the paper "Disentanglement by Nonlinear ICA with General Incompressible-flow Networks (GIN)" (2020)

icebeem

Code for ICE-BeeM paper - NeurIPS 2020

sage

For calculating global feature importance using Shapley values.

tikz-bayesnet

TikZ library for drawing Bayesian networks, graphical models and (directed) factor graphs in LaTeX.

probai-2021-pyro

Repo for the Tutorials of Day1-Day3 of the Nordic Probabilistic AI School 2021 (https://probabilistic.ai/)

3d-brain-tumor-segmentation

Volumetric MRI brain tumor segmentation using autoencoder regularization

3d-mri-brain-tumor-segmentation-using-autoencoder-regularization

Keras implementation of the paper "3D MRI brain tumor segmentation using autoencoder regularization" by Myronenko A. (https://arxiv.org/abs/1810.11654).

open_brats2020

Top 10 brats 2020 Solution

torchio

Medical imaging toolkit for deep learning

mri-deep-learning-tools

Resurces for MRI images processing and deep learning in 3D

MedicalZooPytorch

A pytorch-based deep learning framework for multi-modal 2D/3D medical image segmentation

cca_zoo

Canonical Correlation Analysis Zoo: A collection of Regularized, Deep Learning based, Kernel, and Probabilistic methods in a scikit-learn style framework

transferGWAS

Repository for transferGWAS, a deep learning method for performing genome-wide association studies on full medical imaging data.

synthesizer

python sample mixer and sequencer, waveform synthesizer, and sound playback engine

deconfounder_tutorial

synapses

wasserstein-auto-encoder

A brief tutorial on the Wasserstein auto-encoder

audioset_tagging_cnn

Wasserstein-Auto-Encoders

Contains code relating to this arxiv paper https://arxiv.org/abs/1802.03761

PlotNeuralNet

Latex code for making neural networks diagrams

pytorch-cnn-visualizations

Pytorch implementation of convolutional neural network visualization techniques

ENAS-pytorch

PyTorch implementation of "Efficient Neural Architecture Search via Parameters Sharing"

weight_uncertainty

Implementing Bayes by Backprop

pyvarinf

Python package facilitating the use of Bayesian Deep Learning methods with Variational Inference for PyTorch

ConcreteDropout

Code for Concrete Dropout as presented in https://arxiv.org/abs/1705.07832

gan-qp

GAN-QP: A Novel GAN Framework without Gradient Vanishing and Lipschitz Constraint

pytorch-spectral-normalization-gan

Paper by Miyato et al. https://openreview.net/forum?id=B1QRgziT-