eigenvivek

DiffDRR

Auto-differentiable digitally reconstructed radiographs in PyTorch

DiffPose

[CVPR 2024] Intraoperative 2D/3D registration via differentiable X-ray rendering

Grad-CAMO

[CVPRW 2024] Learning interpretable single-cell morphological profiles from 3D Cell Painting z-stacks

DiffDRR-Datasets

Open-source 2D/3D registration datasets and dataloaders for DiffDRR

pytorchse3

Numerically stable implementation of batched SE(3) exponential and logarithmic maps

eigenvivek.github.io

Gershgorin.jl

Utility package for visualizing the Gerhsgorin discs of a matrix.

Spoti-Graph

Python package for social network analysis of Spotify artists

cv

Simple resume built with the ModernCV package.

deepdrr

Code for "DeepDRR: A Catalyst for Machine Learning in Fluoroscopy-guided Procedures". https://arxiv.org/abs/1803.08606

JournalClub

Notes from the Medical Vision Group's journal club

mammalian-lab

Numerical-Optimization

Implementing algorithms from Nocedal and Wright's "Numerical Optimization"

academic-package-template

Python package template for academic projects with fast and easy building / testing.

autodecoder

Simple implementation of auto-decoders for neural fields with PyTorch Embeddings

bay

denoiser

Real Time Speech Enhancement in the Waveform Domain (Interspeech 2020)We provide a PyTorch implementation of the paper Real Time Speech Enhancement in the Waveform Domain. In which, we present a causal speech enhancement model working on the raw waveform that runs in real-time on a laptop CPU. The proposed model is based on an encoder-decoder architecture with skip-connections. It is optimized on both time and frequency domains, using multiple loss functions. Empirical evidence shows that it is capable of removing various kinds of background noise including stationary and non-stationary noises, as well as room reverb. Additionally, we suggest a set of data augmentation techniques applied directly on the raw waveform which further improve model performance and its generalization abilities.

dival

Deep Inversion Validation Library

DRR.jl

Parallelized, GPU-accelerated, and differentiable digitally reconstructed radiographs in Julia.

DRRs.jl

Use DiffDRR instead (https://github.com/v715/DiffDRR)

EfficientNet-PyTorch-3D

A PyTorch implementation of EfficientNet

Flux3D.jl

3D computer vision library in Julia

gershgorin

Utility package for visualizing the Gerhsgorin discs of a matrix.

graspologic

Python package for graph statistics

Julia-Tests

Short scripts for testing different functionalities in Julia.

moremetrics

Add more image similarity metrics to TorchMetrics.

mvg_utils

NeRF.jl

Neural Radiance Fields (NeRFs) in Julia.

staged-recipes

A place to submit conda recipes before they become fully fledged conda-forge feedstocks

VenmoCalculator