Dimitra Maoutsa's starred repositories
awesome-latex-drawing
Drawing Bayesian networks, graphical models, tensors, technical frameworks, and illustrations in LaTeX.
LovelyPlots
Matplotlib style sheets to nicely format figures for scientific papers, thesis and presentations while keeping them fully editable in Adobe Illustrator.
neural-ode
Jupyter notebook with Pytorch implementation of Neural Ordinary Differential Equations
Awesome-state-space-models
Collection of papers on state-space models
annotate-equations
LaTeX package and annotated examples for annotating equations using TikZ.
differentiable-plasticity
Implementations of the algorithms described in Differentiable plasticity: training plastic networks with gradient descent, a research paper from Uber AI Labs.
BayesNewton
Bayes-Newton—A Gaussian process library in JAX, with a unifying view of approximate Bayesian inference as variants of Newton's method.
KoopmanLab
A library for Koopman Neural Operator with Pytorch.
Neural-Manifold-Ordinary-Differential-Equations
[NeurIPS 2020] Neural Manifold Ordinary Differential Equations (https://arxiv.org/abs/2006.10254)
e3nn_tutorial
repository and website for tutorials on 3d Euclidean equivariant neural networks
Riemannian-Residual-Neural-Networks
[NeurIPS 2023] Riemannian Residual Neural Networks (https://arxiv.org/abs/2006.10254)
EvolvingPlasticANN
Codes for Evolving Plastic ANNs
iterative-smoothing-bridge
Code for 'Transport with Support: Data-Conditional Diffusion Bridges'
lif_meanfield_tools
LIF Meanfield Tools
intro-to-comp-neuro
Intro lecture to computational neuroscience
drift_geometry
Supporting code for The Geometry of Representational Drift
visual_behavior_ssn_modeling
Code repository for the SSN modeling work on Visual Behavior Neuropixels data
brian2-network-multiplier
Run multiple versions of a `brian2.network` in a single simulation.