Sergey Kuznetsov's Projects
This project addresses the problem of binary classification on high-dimensional data.
A research project that investigates the impact of using different network architectures for optimization on a simple reinforcement learning task.
This repository contains implementations of several basic neural network architectures using Python and NumPy.
š š§šµš² ššš¹š¹ š¦šš®š°šø š³-š¦šš²š½š š šš¢š½š ššæš®šŗš²šš¼šæšø | šš²š®šæš» š šš & š šš¢š½š for free by designing, building and deploying an end-to-end ML batch system ~ š“š°š¶š³š¤š¦ š¤š°š„š¦ + 2.5 š©š°š¶š³š“ š°š§ š³š¦š¢š„šŖšÆšØ & š·šŖš„š¦š° š®š¢šµš¦š³šŖš¢šš“
This project explores the problem of face alignment and examines the neural network approach for predicting facial landmarks.
A research project that studies the performance of genetic algorithms in comparison to hillclimbers.
Config files for my GitHub profile.
Repository of a research project on the use of deep generative diffusion models to analyze morphological relationships in human brain structures.
AI Toolkit for Healthcare Imaging
This repository contains the implementation of the Neural Style Transfer algorithm using Tensorflow.
NIPS poster latex template (with bandit framework on top of Reinforcement Learning agents example)
This project explores the use of latent variable models for self-supervised anomaly detection in neuroimaging data.
A playbook for systematically maximizing the performance of deep learning models.