Dimitra Maoutsa's starred repositories
Koopman-Neural-Network-Training
Software to train neural networks via Koopman operator theory (see Dogra and Redman "Optimizing Neural Networks via Koopman Operator Theory" NeurIPS 2020 for details).
awesome-creative-technology
Curated list of Creative Technology groups, companies, studios, collectives, etc.
residual-dynamics
Code for Galgali et al, 2023
PINNpapers
Must-read Papers on Physics-Informed Neural Networks.
GeometricKernels
Geometric kernels on manifolds, meshes and graphs
Scientific-Inkscape
Scientific Inkscape: Inkscape extensions for figure resizing and editing
latent_ode
Code for "Latent ODEs for Irregularly-Sampled Time Series" paper
Diffusion-Maps-Kalman
MATLAB code implementation of the non-Linear object tracking example from: T. Shnitzer, R. Talmon and J.J. Slotine, "Diffusion Maps Kalman Filter for a Class of Systems with Gradient Flows"
LaPreprint
📝 A nicely formatted LaTeX preprint template
Large-Scale-Wasserstein-Gradient-Flows
Source code for Large-Scale Wasserstein Gradient Flows (NeurIPS 2021)
DeterministicParticleFlowControl
Repository for Deterministic Particle Flow Control framework
k-diffusion
Karras et al. (2022) diffusion models for PyTorch
stable-diffusion
A latent text-to-image diffusion model
arxiv-utils
Meaningful titles for tabs and PDF downloads! Also supports tab search.
snn-sound-localization
Training spiking neural networks for sound localization
tensorflow-community-wheels
Place to upload links to TensorFlow wheels
geometric_ml
This repository contains code for applying Riemannian geometry in machine learning.
TopologicalDeepLearning
A collection of Topology Methods in Deep Learning
RiemannStiefelLog
Algorithms for computing the Riemannian logarithm map on the Stiefel manifold
manifold-metric-learning
Python Implementation of Metric Learning on Generalized Manifolds
CompressionVAE
General-purpose dimensionality reduction and manifold learning tool based on Variational Autoencoder, implemented in TensorFlow.