Juan Pablo de la Cruz Gutiérrez's repositories
GenerativeModels
MONAI Generative Models makes it easy to train, evaluate, and deploy generative models and related applications
monai-tutorials
MONAI Tutorials
algorithms
Bug-tracking for Jeff's algorithms book, notes, etc.
fastbase64
SIMD-accelerated base64 codecs
33-js-concepts
📜 33 JavaScript concepts every developer should know.
awesome-computational-photography
A curated list of awesome resources for topics related to computational photography via deep learning, which mainly focuses on image alignment and stitching.
awesome-equivariant-network
Paper list for equivariant neural network
awesome-gradient-boosting-papers
A curated list of gradient boosting research papers with implementations.
awesome-self-supervised-learning
A curated list of awesome self-supervised methods
base64
Fast Base64 stream encoder/decoder in C99, with SIMD acceleration
cornucopia
An abundance of augmentation layers
cppbestpractices
Collaborative Collection of C++ Best Practices. This online resource is part of Jason Turner's collection of C++ Best Practices resources. See README.md for more information.
cpplinks
A categorized list of C++ resources.
cs231n.github.io
Public facing notes page
Delving-deep-into-GANs
A curated, quasi-exhaustive list of state-of-the-art publications and resources about Generative Adversarial Networks (GANs) and their applications.
dijkstra3d
Dijkstra's Shortest Path for 6, 18, and 26-Connected 3D Image Volumes
dns-weekend
Code for Implement DNS in a Weekend
google-research
Google Research
IsoSurface-MultiTexture
Fork of https://github.com/d3x0r/MarchingTetrahedra - adds texturing test
kimimaro
Skeletonize densely labeled 3D image segmentations.
mathematical-tours.github.io
Site web of the Mathematical Tours
MICCAI-OpenSourcePapers
MICCAI 2019 Open Source Papers
post--momentum
Why Momentum Really Works
Self-supervised-Fewshot-Medical-Image-Segmentation
[ECCV'20] Self-supervision with Superpixels: Training Few-shot Medical Image Segmentation without Annotation (code&data-processing pipeline)
surface-loss
Code for our MIDL 2019 talk https://openreview.net/forum?id=S1gTA5VggE
U2PL
[CVPR 2022] Semi-Supervised Semantic Segmentation Using Unreliable Pseudo-Labels
udlbook
Understanding Deep Learning - Simon J.D. Prince
xor_singleheader
Header-only binary fuse and xor filter library
zmesh
Marching Cubes & Mesh Simplification on multi-label 3D images.