pismarovmikhail Goto Github PK

affnet

Code and weights for local feature affine shape estimation paper "Repeatability Is Not Enough: Learning Discriminative Affine Regions via Discriminability"

airflow_plus_mlflow_pipeline

anton_dolganov_study_materials

Учебные материалы по курсам связанным с Машинным обучением, которые я читаю в УрФУ. Презентации, блокноты ipynb, ссылки

cv_course

AlexeyRogS_cv_course

deep-learning-drizzle

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

deep-learning-in-image-processing-lectures

Ronkin_Deep-Learning-in-Image-Processing-Lectures

design_workshop

dvc_example

dvc_pipelines_and_experiments_tutorial

Building a maintainable Machine Learning pipeline using DVC

girafe_ai_mlops_course

Course on MLOps by girafe.ai team

lena_voita_course-in-natural-language-processing

LENA_VOITA_course in Natural Language Processing

machine_learning_math_foundations

machinelearningseminars

Семинары А.В. Грабового к лекционному курсу К.В. Воронцова.

middle_python

Репозиторий с примерами кода для курса "Python для продвинутых специалистов".

mlops_first_semester_labs

mlops_second_semester_labs

mlops_urfu_semester2

Laboratory work on MLOps master's degree at the Ural Federal University

navierstokesfno

Приведена архитектура нейронной сети, основанной на преобразовании Фурье для решения УЧП Навье-Стокса

newsgroups_dvc

nsfnet

PINNs for 2D Incompressible Navier-Stokes Equation

physics-based-deep-learning

Links to works on deep learning algorithms for physics problems, TUM-I15 and beyond

physics-informed-neural-networks-for-solving-reynolds-averaged-navier-stokes-equations

pinn-for-turbulence

A pytorch implementation of several approaches using PINN to slove turbulent flow

pinns

Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations

psad

Курс по прикладному статистическому анализу данных

python_programming_training

rtdl-num-embeddings

(NeurIPS 2022) On Embeddings for Numerical Features in Tabular Deep Learning

rtdl-revisiting-models

(NeurIPS 2021) Revisiting Deep Learning Models for Tabular Data

simple_automation_level_of_mlops_automation

Simple machine learning project, for the organization of which a “zero”, the most basic, in terminology, level of MLOps maturity is enough.

software_engineering