Francisco Acosta's repositories
grid-cell-rnn
Official code for Conformal Isometry of Lie Group Representation in Recurrent Network of Grid Cells (NeurIPS workshop on Symmetry and Geometry in Neural Representations, 2022)
awesome-neural-geometry
A curated collection of resources and research related to the geometry of representations in the brain, deep networks, and beyond
awesome-neuro-ai-papers
Papers from the intersection of deep learning and neuroscience
DeepDive
Feature extraction, dimensionality reduction, model benchmarking.
deepmind-research
This repository contains implementations and illustrative code to accompany DeepMind publications
DeepNSD
Code for the deep neural network modeling of a large-scale fMRI dataset.
geomstats
Computations and statistics on manifolds with geometric structures.
image_registration
Python implementation of 2d and 3d image registration
netrep
Some methods for comparing network representations in deep learning and neuroscience.
neural_trefoil_animation
Animation of population dynamics following a Trefoil knot
pyLDDMM
Python Implementation of the LDDMM algorithm
s-vae-pytorch
Pytorch implementation of Hyperspherical Variational Auto-Encoders
TopoModelX
Topological Deep Learning