Pinned Repositories
fastbase64
SIMD-accelerated base64 codecs
GenerativeModels
MONAI Generative Models makes it easy to train, evaluate, and deploy generative models and related applications
js-the-right-way
An easy-to-read, quick reference for JS best practices, accepted coding standards, and links around the Web
latex2ebook
Toolchain for converting LaTeX Book documents to ebook formats
libmorton
C++ header-only library with methods to efficiently encode/decode Morton codes in/from 2D/3D coordinates
MONAI
AI Toolkit for Healthcare Imaging
monai-tutorials
MONAI Tutorials
partition-comparison
Variation of information (Meila 2003) and Rand index (Rand 1971)
threejsfundamentals
threejsfundamentals.org
juampatronics's Repositories
juampatronics/adv-r
Advanced R: a book
juampatronics/advanced-deep-learning-with-python
Advanced Deep Learning with Python
juampatronics/algorithms
Bug-tracking for Jeff's algorithms book, notes, etc.
juampatronics/js-the-right-way
An easy-to-read, quick reference for JS best practices, accepted coding standards, and links around the Web
juampatronics/libmorton
C++ header-only library with methods to efficiently encode/decode Morton codes in/from 2D/3D coordinates
juampatronics/awesome-equivariant-network
Paper list for equivariant neural network
juampatronics/Connected_components_PyTorch
A PyTorch implementation of Connected Components Labeling
juampatronics/cpplinks
A categorized list of C++ resources.
juampatronics/deep-learning-uncertainty
Literature survey, paper reviews, experimental setups and a collection of implementations for baselines methods for predictive uncertainty estimation in deep learning models.
juampatronics/DeformationPyramid
[NeurIPS 2022] Non-rigid Point Cloud Registration with Neural Deformation Pyramid
juampatronics/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.
juampatronics/diffusion-net
Pytorch implementation of DiffusionNet for fast and robust learning on 3D surfaces like meshes or point clouds.
juampatronics/dns-weekend
Code for Implement DNS in a Weekend
juampatronics/fastMONAI
Simplifying deep learning for medical imaging
juampatronics/hypnettorch
Package for working with hypernetworks in PyTorch.
juampatronics/intro-data-analysis
Introduction to Data Analysis - Webbook
juampatronics/ISL
This is the official pytorch implementation for the paper: Instance Similarity Learning for Unsupervised Feature Representation.
juampatronics/MedUncertainty
Uncertainty in Medical Image Analysis
juampatronics/MICCAI-OpenSourcePapers
MICCAI 2019 Open Source Papers
juampatronics/miccai_weakly_supervised_tutorial
Code for tutorial at MICCAI 2019
juampatronics/notebookJS
notebookJS: seamless JavaScript integration in Python Notebooks
juampatronics/octnet
OctNet: Learning Deep 3D Representations at High Resolutions
juampatronics/One_Cycle_Policy
Pytorch notebook with One Cycle Policy implementation (https://arxiv.org/abs/1803.09820)
juampatronics/phd-thesis
Source code for my PhD thesis: Backpropagation Beyond the Gradient
juampatronics/really-awesome-gan
A list of papers on Generative Adversarial (Neural) Networks
juampatronics/robust-laplacians-py
Build high-quality Laplace matrices on meshes and point clouds in Python. Implements [Sharp & Crane SGP 2020].
juampatronics/SSL4MIS
Semi Supervised Learning for Medical Image Segmentation, a collection of literature reviews and code implementations.
juampatronics/Transfer-Learning-Toolkit
Transfer Learning Toolkit for Primary Researchers
juampatronics/TransSeg
Official Code Release for Adapting Pre-trained Vision Transformers from 2D to 3D through Weight Inflation Improves Medical Image Segmentation
juampatronics/tutorials