AleksandrIvchenko
Deep Learing Researcher in Moscow Institute of Phyics and Technology
MIPTDolgoprudny
Pinned Repositories
agm
agmv
dsrr_vpn_nonvpn
dsymb-playground
[ICDE 2024] Python and Streamlit implementation of "d_{symb} playground: an interactive tool to explore large multivariate time series datasets"
history_llm
kaggle_plates
Kaggle competition on classification dirty vs cleaned plates
machine-learning-project-walkthrough
An implementation of a complete machine learning solution in Python on a real-world dataset. This project is meant to demonstrate how all the steps of a machine learning pipeline come together to solve a problem!
ML-course-in-Python
Python implementations of the exercises presented by Andrew Ng in "Machine Learning" class on Coursera.
QoE-assesment
The project aims to study the influence of various factors on the subjective assessment of the perception of streaming video. We propose several models for evaluating the VQA models (with and without reference).
SiriusFaceRec
AleksandrIvchenko's Repositories
AleksandrIvchenko/QoE-assesment
The project aims to study the influence of various factors on the subjective assessment of the perception of streaming video. We propose several models for evaluating the VQA models (with and without reference).
AleksandrIvchenko/agm
AleksandrIvchenko/dsrr_vpn_nonvpn
AleksandrIvchenko/machine-learning-project-walkthrough
An implementation of a complete machine learning solution in Python on a real-world dataset. This project is meant to demonstrate how all the steps of a machine learning pipeline come together to solve a problem!
AleksandrIvchenko/agmv
AleksandrIvchenko/SiriusFaceRec
AleksandrIvchenko/dsymb-playground
[ICDE 2024] Python and Streamlit implementation of "d_{symb} playground: an interactive tool to explore large multivariate time series datasets"
AleksandrIvchenko/history_llm
AleksandrIvchenko/kaggle_plates
Kaggle competition on classification dirty vs cleaned plates
AleksandrIvchenko/ML-course-in-Python
Python implementations of the exercises presented by Andrew Ng in "Machine Learning" class on Coursera.
AleksandrIvchenko/ml-coursera-python-assignments
Python assignments for the machine learning class by andrew ng on coursera with complete submission for grading capability and re-written instructions.
AleksandrIvchenko/ml_tinkoff_learning
AleksandrIvchenko/mvcnn_pytorch
MVCNN on PyTorch
AleksandrIvchenko/Radiometric
Applying CaPoNeF approach at the task of Radiometric Identification
AleksandrIvchenko/tinyML
AleksandrIvchenko/VisualTransformers
A Pytorch Implementation of the following paper "Visual Transformers: Token-based Image Representation and Processing for Computer Vision"