Dimitra Maoutsa's repositories
odes_for_sdes
Deterministic particle dynamics for simulating Fokker-Planck probability flows
DeterministicParticleFlowControl
Repository for Deterministic Particle Flow Control framework
Geometric-path-augmentation-for-SDEs
Repository for inference method for stochastic processes through geometric path augmentation
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
Connectivity_from_event_timing_patterns
Model-free method for inferring synaptic interactions from spike train recordings.
CompressionVAE
General-purpose dimensionality reduction and manifold learning tool based on Variational Autoencoder, implemented in TensorFlow.
difolio
Trial website
geomloss
Geometric loss functions between point clouds, images and volumes
GRAE
Geometry Regularized Autoencoders (GRAE) for large-scale visualization and manifold learning
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.
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
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
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.
pysph
A framework for Smoothed Particle Hydrodynamics in Python
python_register_color_palettes
For later reference - to avoid searching
reaction-diffusion-playground
Interactive reaction-diffusion simulation with organic patterns and behaviors that emerge from the interactions of two chemicals mixed together.
scikit-learn
scikit-learn: machine learning in Python
score_function_estimators
collection of the score estimators I use
StochasticForceInference
Python implementation of the force and diffusion inference method described in (Frishman and Ronceray, Phys. Rev. X 10, 021009, 2020).
torchdyn
A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods.
UnderdampedLangevinInference
Python implementation of Underdamped Langevin Inference, a method to infer the dynamical equation of underdamped stochastic systems from discrete noisy time series.