AlGoulas
biological and artificial neural networks | data science | computational neuroscience
Germany
Pinned Repositories
bio2art
Convert biological neuronal networks to artificial recurrent neuronal networks
bio_rnn_mem
Predict sequential data with recurrent neural networks with biological wiring
connectome_ontogenesis
Generative model of the spatiotemporal development of complex networks
cross_species_connectomics
Uncover and predict network properties of the brain of different animals
differentiable-plasticity
Implementations of the algorithms described in Differentiable plasticity: training plastic networks with gradient descent, a research paper from Uber AI Labs.
echoes
Pythonic Machine Learning with Echo State Networks
ignite
High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.
predict_network
Predict missing connections in networks
receptor_principles
Data mining of receptor autoradiography data with statistics and machine learning
torchknickknacks
Many simple useful PyTorch things related mainly to model manipulation (e.g. add, delete, record from layers) in one place
AlGoulas's Repositories
AlGoulas/bio2art
Convert biological neuronal networks to artificial recurrent neuronal networks
AlGoulas/torchknickknacks
Many simple useful PyTorch things related mainly to model manipulation (e.g. add, delete, record from layers) in one place
AlGoulas/bio_rnn_mem
Predict sequential data with recurrent neural networks with biological wiring
AlGoulas/receptor_principles
Data mining of receptor autoradiography data with statistics and machine learning
AlGoulas/cross_species_connectomics
Uncover and predict network properties of the brain of different animals
AlGoulas/connectome_ontogenesis
Generative model of the spatiotemporal development of complex networks
AlGoulas/differentiable-plasticity
Implementations of the algorithms described in Differentiable plasticity: training plastic networks with gradient descent, a research paper from Uber AI Labs.
AlGoulas/echoes
Pythonic Machine Learning with Echo State Networks
AlGoulas/ignite
High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.
AlGoulas/predict_network
Predict missing connections in networks
AlGoulas/modules
The official repository for our paper "Are Neural Nets Modular? Inspecting Functional Modularity Through Differentiable Weight Masks". We develop a method for analyzing emerging functional modularity in neural networks based on differentiable weight masks and use it to point out important issues in current-day neural networks.
AlGoulas/Synaptic-Flow