jwcalder

AMAAZETools

Mesh processing tools developed by AMAAZE

cpython

C extension examples

CT-Surfacing

Example of surfacing CT images with AMAAZETools

GraphLearning

Python package for graph-based clustering and semi-supervised learning

LAMLPython

Python Notebooks for Linear Algebra and Machine Learning Book

LipschitzLearningRates

Code for testing convergence rates of Lipschitz learning on graphs

MachineLearningAMAAZE

MSTAR-Active-Learning

PDEClassification

Classifying PDEs with deep learning

peikonal

Code to reproduce experiments with the p-eikonal equation for data depth and semi-supervised learning.

jwcalder/GraphLearning

Python package for graph-based clustering and semi-supervised learning

jwcalder/MSTAR-Active-Learning

jwcalder/peikonal

Code to reproduce experiments with the p-eikonal equation for data depth and semi-supervised learning.

jwcalder/AMAAZETools

Mesh processing tools developed by AMAAZE

jwcalder/cpython

C extension examples

jwcalder/LAMLPython

Python Notebooks for Linear Algebra and Machine Learning Book

jwcalder/LipschitzLearningRates

Code for testing convergence rates of Lipschitz learning on graphs

jwcalder/MachineLearningAMAAZE

jwcalder/PDEClassification

Classifying PDEs with deep learning

jwcalder/ContinuumPageRank

jwcalder/CT-Surfacing

Example of surfacing CT images with AMAAZETools

jwcalder/GraphLearningLayer

jwcalder/GraphLearningOld

jwcalder/p-Laplace-consistency

Consistency simulation results for p-Laplace learning

jwcalder/PredictionPDE

jwcalder/Spherical-Volume-Invariant

Spherical Volume Invariant

jwcalder/AttractionRepulsionSwarming-tSNE

Attraction Repulsion Swarming variant of t-SNE

jwcalder/kNNSpectralRates

Code for experiments with spectral convergence rates for kNN graphs

jwcalder/MadMario

Interactive tutorial to build a learning Mario, for first-time RL learners

jwcalder/MCFAM-Summer-School

jwcalder/meshlab

The open source mesh processing system

jwcalder/meshlab-extra-plugins

Extra plugins for MeshLab

jwcalder/MinimalSurfaces

Code to compute solutions of minimal surface obstacle problems.

jwcalder/pandemic_tgnn

jwcalder/TestImages

Test images for graph-based image segmentation.

jwcalder/Tetris-deep-Q-learning-pytorch

Deep Q-learning for playing tetris game

jwcalder/Tetris-DQN

Tetris with a Deep Q Network.