juampamuc

research-contributions

Implementations of recent research prototypes/demonstrations using MONAI.

Awesome-MIM

[Survey] Masked Modeling for Self-supervised Representation Learning on Vision and Beyond (https://arxiv.org/abs/2401.00897)

pytorch_spline_conv

Implementation of the Spline-Based Convolution Operator of SplineCNN in PyTorch

Efficient_Python_tricks_and_tools_for_data_scientists

Efficient Python Tricks and Tools for Data Scientists

pymatting

A Python library for alpha matting

schedule_free

Schedule-Free Optimization in PyTorch

nitrain

The easiest way to train AI models on medical images with pytorch or keras

boundary-loss

Official code for "Boundary loss for highly unbalanced segmentation", runner-up for best paper award at MIDL 2019. Extended version in MedIA, volume 67, January 2021.

research-computing-with-cpp

UCL-ARC *C++ for Research* course

pytorch-fid

Compute FID scores with PyTorch.

FastGeodis

Fast Implementation of Generalised Geodesic Distance Transform for CPU (OpenMP) and GPU (CUDA)

Graph-Learning-Reading-List

Advances on machine learning of graphs, covering the reading list of recent top academic conferences.

faiss

A library for efficient similarity search and clustering of dense vectors.

fastbook

Draft of the fastai book

Diff-UNet

Diff-UNet: A Diffusion Embedded Network for Volumetric Segmentation. (using diffusion for 3D medical image segmentation)

thebookofshaders

Step-by-step guide through the abstract and complex universe of Fragment Shaders.

Awesome-Masked-Autoencoders

A collection of literature after or concurrent with Masked Autoencoder (MAE) (Kaiming He el al.).

tutorials

MONAI Tutorials

euclidean-distance-transform-3d

Euclidean distance & signed distance transform for multi-label 3D anisotropic images using marching parabolas.

mathematical-tours.github.io

Site web of the Mathematical Tours

morphomatics

Geometric morphometrics in non-Euclidean shape spaces.

skerch

Sketched matrix decompositions for PyTorch

annotated_deep_learning_paper_implementations

🧑‍🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

pykonal

Travel-time calculator based on the fast-marching method solution to the Eikonal equation.

nnDetection

nnDetection is a self-configuring framework for 3D (volumetric) medical object detection which can be applied to new data sets without manual intervention. It includes guides for 12 data sets that were used to develop and evaluate the performance of the proposed method.

voxelmorph

Unsupervised Learning for Image Registration

dl-fundamentals

Deep Learning Fundamentals -- Code material and exercises

py-pdf-parser

A Python tool to help extracting information from structured PDFs.

pytorch-Deep-Learning

Deep Learning (with PyTorch)

awesome-tips