dimitra-maoutsa Goto Github PK

compressionvae

General-purpose dimensionality reduction and manifold learning tool based on Variational Autoencoder, implemented in TensorFlow.

connectivity_from_event_timing_patterns

Model-free method for inferring synaptic interactions from spike train recordings.

data-science-course

deterministicparticleflowcontrol

Repository for Deterministic Particle Flow Control framework

difolio

Trial website

dimitra-maoutsa

flowagents

Perlin noise based flow agents made in Unity 3D.

geometric-path-augmentation-for-sdes

Repository for inference method for stochastic processes through geometric path augmentation

geomloss

Geometric loss functions between point clouds, images and volumes

git

grae

Geometry Regularized Autoencoders (GRAE) for large-scale visualization and manifold learning

homology

Topological analysis of brain activity data

inferring-synaptic-interactions-and-transmission-delays

lecture-network-dynamics-and-complex-systems

Lecture material for part (4/12) of the lecture **Network Dynamics & Complex Systems - Theoretical and Computational Tools** given during winter semester 2016/17 at Georg-August-Universität Göttingen

lsgm

The Official PyTorch Implementation of "LSGM: Score-based Generative Modeling in Latent Space" (NeurIPS 2021)

m-dims-blog

Blog of M Dims >>> https://dimitra-maoutsa.github.io/M-Dims-Blog/

morphogenesis-resources

Comprehensive list of resources on the topic of digital morphogenesis (the creation of form through code). Includes links to major articles, code repos, creative projects, books, software, and more.

neural-turing-machines

Attempt at implementing system described in "Neural Turing Machines." by Graves, Alex, Greg Wayne, and Ivo Danihelka. (http://arxiv.org/abs/1410.5401)

neuralflow

The framework for inferring Langevin dynamics from spike data

neurodiffeq

A library for solving differential equations using neural networks based on PyTorch, used by multiple research groups around the world, including at Harvard IACS.

neurodiffeq-playground

Playground repo for solving differential equations using the neurodiffeq package

odes_for_sdes

Deterministic particle dynamics for simulating Fokker-Planck probability flows

perturbing_oscillatory_spiking_neural_networks

old code

pina

Physics-Informed Neural networks for Advanced modeling

probability-flow-dynamics-for-constrained-stochastic-nonlinear-systems

Detailed explanation of the Deterministic Particle Control method briefly outlined in [upcoming paper] + code

py-pursuit

A Python implementation of the matching pursuit sparse coding algorithm.

pyksvd

A highly optimized, parallel implementation of the Batch-OMP version of the KSVD learning algorithm.

pylustrator

Visualisations of data are at the core of every publication of scientific research results. They have to be as clear as possible to facilitate the communication of research. As data can have different formats and shapes, the visualisations often have to be adapted to reflect the data as well as possible. We developed Pylustrator, an interface to directly edit python generated matplotlib graphs to finalize them for publication. Therefore, subplots can be resized and dragged around by the mouse, text and annotations can be added. The changes can be saved to the initial plot file as python code.

pyomp

Orthogonal Matching Pursuit (Python)

pysph

A framework for Smoothed Particle Hydrodynamics in Python