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ArseniiOnuchin
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Курс по глубинному обучению для графовых данных преподаваемый на ФКН ВШЭ
Research software for (semi-) automated detection and identification of neurons in images of NeuroPAL, extract ID’d neural activity traces from NeuroPAL;GCaMP animals, and upload these datasets to …
A python implementation to extract Shape DNA [1] of triangle surface meshes
Python code to perform higher-order Laplacian renormalization of higher-order networks
PHAT implementation of the grounded pipeline and, in particular, GrPPH
Computing homology of directed flag complexes (based on https://github.com/Ripser/ripser). Online version: https://homepages.abdn.ac.uk/neurotopology/flagser.html
Implementation of Grassman-Stiefel Eigenmaps manifold learning algorithm
generalized principal component analysis (GLM-PCA) implemented in python
Evaluation of Resilience in Neural Networks using MILP
Tool to numerically solve and analyse simplicial Kuramoto models.
A fast, first order open-access simulator that integrates single plant growth models with inter-plant competition for sun light and water.
A reservoir computing toolbox for neuroscientists
Network Science with Python and NetworkX Quick Start Guide, published by Packt
A course on Network Science, including network formation models, structural patterns, and dynamic processes.
Tutorials, datasets, and other material associated with textbook "A First Course in Network Science" by Menczer, Fortunato & Davis
A geographically sorted list of public peering credentials for joining Hyperboria
Computational model reported in: Izquierdo EJ, Beer RD. 2018 From head to tail: a neuromechanical model of forward locomotion in Caenorhabditis elegans. Phil. Trans. R. Soc. B 20170374. http://dx.d…
Code for reproducing the application case study of the paper "Spherical Poisson Point Process Intensity Function Modeling and Estimation with Measure Transport" by James Ng and Andrew Zammit-Mangion
Recurrent predictive coding networks for associative memory employing covariance learning
Code for the paper "Predictive Coding Approximates Backprop along Arbitrary Computation Graphs"
An awesome list of complex systems science resources
An efficient pure-PyTorch implementation of Kolmogorov-Arnold Network (KAN).
Example files to test interaction between models developed at the Allen Brain Institute and NeuroML
flipper zero goodies [intercom_keys][scripts]
Flipper Zero Unleashed Firmware
multiNetX is a python package for the manipulation and visualization of multilayer networks. It is build on NetworkX
A series of simulation codes used to emulate quantum-like networks in the simulation of emergent adaptive behavior, such as network synchronization, and relate the nature of the coupled harmonic os…