Royal Society University Research Fellow at the University of Edinburgh
Repositories
NinelK/CopulaGP
Copula-GP model
NinelK/VCT
Virtual Cardiac Tissue Model – A Cellular Potts Model for cardiac monolayers that reproduces fibrotic patterns
NinelK/NinelK.github.io
NinelK/old_cv_website
Academic CV of Nina Kudryashova
NinelK/mountainsort5
MountainSort spike sorting algorithm, version 5
NinelK/python-neo
Neo is a package for representing electrophysiology data in Python, together with support for reading a wide range of neurophysiology file formats
NinelK/IMBIZO2023_population_tutorial
IMBIZO 2023 tutorial on neuronal population models
NinelK/spikeinterface
A Python-based module for creating flexible and robust spike sorting pipelines.
NinelK/probeinterface_library
Collection of probe description for probeinterface
NinelK/copula_conditioning
NinelK/IMBIZO2024_tutorial
NinelK/CF_demo_23
NinelK/IMBIZO2023_population_SOLUTIONS
Tutorial on modelling neuronal population activity
NinelK/IMBIZO2022_DS_tutorial_solutions
Tutorial on Dynamical Systems for Neuroscience
NinelK/IMBIZO2022_DS_Tutorial
NinelK/jax-lfads
Understanding computation in artificial and biological recurrent networks through the lens of dynamical systems.
NinelK/mae
PyTorch implementation of MAE https//arxiv.org/abs/2111.06377
NinelK/neurallatents.github.io
NinelK/neural-approx-ss-lfi
Codes for ICLR 21 paper: Neural Approximate Sufficient Statistics for Implicit Models
NinelK/WavesProject
Analyzing waves in heart using deep learning
NinelK/gaussian_process_conditional_copulas
Paper and code for "Gaussian Process Vine Copulas for Multivariate Dependence", ICML 2013
NinelK/course-content
Summer course content for Neuromatch Academy
NinelK/gpytorch
A highly efficient and modular implementation of Gaussian Processes in PyTorch
NinelK/StarVine
Tools to construct canonical and regular vines. StarVine can also be used as a bivariate copula fitting tool.
NinelK/GPy
Gaussian processes framework in python