artonson

Alexey Artemov's repositories

def

Official implementation of the SIGGRAPH-2022 paper "DEF: Deep Estimation of Sharp Geometric Features in 3D Shapes"

Language:Jupyter Notebook44 10 3

hse-applied-statistics-2018

Materials for HSE course "Applied Statistics in Machine Learning" taught during 2018.

Language:Jupyter Notebook20 80

ysda-asml-2018

Materials for Yandex Data School course "Applied Statistics in Machine Learning"

Language:Jupyter Notebook7 30

prs

PRS: Sharp Feature Priors for Resolution-Free Surface Remeshing

MIT6 40

skoltech-fse-2021

Materials for Skoltech course "Foundations of Software Engineering" taught during 2021.

6 20

deepmif

Official implementation of the paper "DeepMIF: Deep Monotonic Implicit Fields for Large-Scale LiDAR 3D Mapping"

MIT2 20

hse-statistics-of-random-processes-fintech-2018

Materials for HSE Fintech course "Statistics of Random Processes" taught during 2018.

Language:Jupyter NotebookMIT2 10

pitch-improver

music21-based pitch improver

Language:Python2 20

artonson.github.io

Personal website

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random-processes-lectures

Конспекты лекций по курсу "Статистика случайных процессов".

Language:TeXMIT1 30

acl-anthology

Data and software for building the ACL Anthology.

Language:PythonApache-2.0000

covid-gof-patterns

Simulating virus epidemics the object-oriented way.

Language:Jupyter Notebook010

field_learn

Official implementation of the AIST-2019 paper "Learning to approximate directional fields defined over 2d planes"

Language:Jupyter Notebook020

hse-statistics-of-random-processes-ml-2018

Materials for HSE ML course "Statistics of Random Processes" taught during 2018.

Language:Jupyter NotebookMIT010

libigl

Simple C++ geometry processing library.

Language:C++GPL-3.0000

skoltech-fse-2020

Materials for Skoltech course "Foundations of Software Engineering" taught during 2020.

Language:Python000

skoltech-gcv-2021

Materials for Skoltech course "Geometric Computer Vision" taught during 2021.

000