kristiantorres

scrcpy

Display and control your Android device

botorch

Bayesian optimization in PyTorch

torchio

Medical imaging toolkit for deep learning

Probabilistic-Unet-Pytorch

A Probabilistic U-Net for segmentation of ambiguous images implemented in PyTorch

Deep-Residual-Unet

ResUNet, a semantic segmentation model inspired by the deep residual learning and UNet. An architecture that take advantages from both(Residual and UNet) models.

Brain-Tumor-Segmentation

Attention-Guided Version of 2D UNet for Automatic Brain Tumor Segmentation

unet

"pip install unet": PyTorch Implementation of 1D, 2D and 3D U-Net architecture.

pytorch-minimize

Use scipy.optimize.minimize as a PyTorch Optimizer.

FigureOne

Draw, animate and interact with shapes, text, plots and equations. Create interactive slideshows and interactive videos.

pylibROM

Python interface for libROM, library for reduced order models

AdaDiff

Official PyTorch implementation of AdaDiff described in the paper (https://arxiv.org/abs/2207.05876).

pinn_fwi

PGNN-FWI: performing physics-guided neural network for FWI

uAlberta-Thesis-LaTeX-Template

A LaTeX template for the University of Alberta. Compliant with the FGSR Standards.

seistorch

A pytorch-based package for seismic invesrion with automatic differentiation.

diffefwi

Official repository for the "Learned regularizations for multi-parameter elastic full waveform inversion using diffusion models" paper.

Deep_1D_velocity

Code for the article : Seismic velocity estimation: a deep recurrent neural-network approach

diffseis

ExploreDAS

bayestorch

Lightweight Bayesian deep learning library for fast prototyping based on PyTorch

ShaVi-1.0

tutorial-hands-on

A set of hands on tutorials to demonstrate the capabilities of Devito

titan-implicit-prior

Code for the paper "TITAN: Bringing the deep image prior to implicit representations"

interfacing_fortran_from_python

Training course -- Interfacing Fortran and Python: Using cffi, ctypes and cython

subspace_dip

Subspace Deep Image Prior, optimizing on a parameter subspace extracted from pretraining

educated_deep_image_prior

RNN_IFWI

svd_dip

Code supplementing the paper "SVD-DIP: Overcoming the Overfitting Problem in DIP-based CT Reconstruction"

SEP_lectures

Inverse Problems with application mainly to processing seismic data

data_proximal_networks

MDNC

Modern Deep Network Toolkits for PyTorch. This is a extension for PyTorch 1.x.