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monai-tutorials

MONAI Tutorials

multipropreg

Optimization learning for image registration.

murphy-machine-learning-a-probabilistic-perspective-errata-and-notes-4th-printing

Murphy's Machine Learning: A Probabilistic Perspective Errata (4th and later printings)

notebookjs

notebookJS: seamless JavaScript integration in Python Notebooks

notes-on-neural-networks

Rough working notes on neural networks

oarc-fall21-intro-to-sql

octnet

OctNet: Learning Deep 3D Representations at High Resolutions

octnetfusion

one_cycle_policy

Pytorch notebook with One Cycle Policy implementation (https://arxiv.org/abs/1803.09820)

paddleseg

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.

partition-comparison

Variation of information (Meila 2003) and Rand index (Rand 1971)

pfseg

Patch-free 3D Medical Image Segmentation

phd-thesis

Source code for my PhD thesis: Backpropagation Beyond the Gradient

placental-vessel-segmentation-registration

plotneuralnet

Latex code for making neural networks diagrams

post--misread-tsne

How to Use t-SNE Effectively

post--momentum

Why Momentum Really Works

potpourri3d

An invigorating blend of 3D geometry tools in Python.

practicalmachinelearning

Project for the Coursera course

prml

PRML algorithms implemented in Python

pytorch_convnd

Functional N-dimensional convolution in Pytorch, recursively calling convNd until reaching conv3d.

pytorch_expm

An implementation of the scaling-and-squaring algorithm for matrix exponentials and their Fréchet derivatives in Pytorch.

pytorch_fftnd

Pytorch N-dimensional Implementation of the Fast Fourier Transform and its inverse

pytorchgeometrictutorial

Pytorch Geometric Tutorials

really-awesome-gan

A list of papers on Generative Adversarial (Neural) Networks

robust-laplacians-py

Build high-quality Laplace matrices on meshes and point clouds in Python. Implements [Sharp & Crane SGP 2020].

sample_svdd

A sampling SVDD algorithm for large datasets.

sdf

Simple SDF mesh generation in Python

segtran

Medical Image Segmentation using Squeeze-and-Expansion Transformers

self-supervised-fewshot-medical-image-segmentation

[ECCV'20] Self-supervision with Superpixels: Training Few-shot Medical Image Segmentation without Annotation (code&data-processing pipeline)