Veselyev Aleksandr

lgsc-for-fas-pytorch. Learning Generalized Spoof Cues for FaceAnti-spoofing reimplementation in pytorch

unet_plus_attention. Unet model with stand-alone self-attention blocks

dls_intro_to_ml_2021. Intro to ML. Intensive. 2021

sirius-2024-materials. cv lecture & seminars materials

catalyst-tutorial. Repo with minimal example of classification training pipeline using catalyst library

super-net. test task for MIL lab

dl-intro-meetup. meetup materials

segmenter. web application for image segmentation model with vue.js frontend, flask backend and torcheserve for model serving

style_transfer_tgbot. Python

ButtsSegmentation. Jupyter Notebook

diagrams. diagrams for presentation on theme "video analytics"

LabelPlacement. Label placement algorithm

hse-data-analysis-in-python. Seminar files for "Python for data collection and data analysis" course

math-hse-python. Python course @ Math department, HSE

FocallLossTorch. Implementation of FocallLoss and Smoothed Variant and their visualisations

TSNE. tsne algorithm

podidiving.

compds-python. Python course @ Computer and Data Science, HSE

resume. My resume

DagVisualization. DAG visualisation using Coffman Graham layout. Data Visualisation course task

blockchain_app. simple blockchain web app

math_stats_questions. Abstract for mathematical statistics

podidiving.github.io. CSS

computer_graphics. Repo for computer graphics course at mipt, spring 2020

image_recognition_text_processing. Hw for image recognition & text processing course, abby. spring 2019

standalone_self_attention. Jupyter Notebook

ml_diht_labs. Labs for ml course DIHT MIPT. Spring 2019

neural_network_track. Homeworks for neural network course MIPT track. Spring 2019

ml-mipt. Machine learning course at MIPT

reaction. Convenient DL serving

catalyst. Accelerated deep learning R&D