Name: Cristina Melnic
Type: User
Bio: Trained physicist, recently graduated MSc Computational Sciences at FU Berlin. Currently exploring computational neuroscience, data science and machine learning
Location: Berlin, Germany
Blog: https://www.linkedin.com/in/cristina-melnic-013b08242/
Cristina Melnic's Projects
Config files for my GitHub profile.
Application to find parameters of inter-particle forces from stochastic trajectories using Bayesian inference.
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
Model of a single orientation-selective neuron receiving inputs from afferents with different preferred orientations. The project shows what properties the postsynaptic neuron has and how they depend on the input. It aims to investigate two types of connectivity of neurons in the primary visual cortex, i.e., weight-based and number-based.
Modelling pattern formation by numerical integration of systems of coupled convection-diffusion differential equations.
Script that runs experiments on the implemented H(div)-conforming elements for Stokes equations in the finite element package ParMooN.
Analysis of simulation data obtained with the ParMooN finite element package.
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