Juan Pablo de la Cruz Gutiérrez's Projects
MONAI Tutorials
Optimization learning for image registration.
Murphy's Machine Learning: A Probabilistic Perspective Errata (4th and later printings)
notebookJS: seamless JavaScript integration in Python Notebooks
Rough working notes on neural networks
OctNet: Learning Deep 3D Representations at High Resolutions
Pytorch notebook with One Cycle Policy implementation (https://arxiv.org/abs/1803.09820)
Easy-to-use image segmentation library with awesome pre-trained model zoo, supporting wide-range of practical tasks in Semantic Segmentation, Interactive Segmentation, Panoptic Segmentation, Image Matting, 3D Segmentation, etc.
Variation of information (Meila 2003) and Rand index (Rand 1971)
Patch-free 3D Medical Image Segmentation
Source code for my PhD thesis: Backpropagation Beyond the Gradient
Latex code for making neural networks diagrams
How to Use t-SNE Effectively
Why Momentum Really Works
An invigorating blend of 3D geometry tools in Python.
Project for the Coursera course
PRML algorithms implemented in Python
Functional N-dimensional convolution in Pytorch, recursively calling convNd until reaching conv3d.
An implementation of the scaling-and-squaring algorithm for matrix exponentials and their Fréchet derivatives in Pytorch.
Pytorch N-dimensional Implementation of the Fast Fourier Transform and its inverse
Pytorch Geometric Tutorials
A list of papers on Generative Adversarial (Neural) Networks
Build high-quality Laplace matrices on meshes and point clouds in Python. Implements [Sharp & Crane SGP 2020].
A sampling SVDD algorithm for large datasets.
Simple SDF mesh generation in Python
Medical Image Segmentation using Squeeze-and-Expansion Transformers
[ECCV'20] Self-supervision with Superpixels: Training Few-shot Medical Image Segmentation without Annotation (code&data-processing pipeline)