Dmitrii Ogn's repositories
book
The Rust Programming Language
catalyst
Accelerated deep learning R&D
Catalyst-Inria-Segmentation-Example
An example project showing the power of Catalyst for training segmentation model for Inria Sattelite Segmentation Challenge
catboost
A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.
course-2130
Курс по программированию и анализу данных на Python/R
dl-course
Deep Learning with Catalyst
ELMoForManyLangs
Pre-trained ELMo Representations for Many Languages
graphnet
Graph neural networks for neutrino telescope event reconstruction
Homework1
Домашнее задание 1 по Learn python
fastembed
Fast, Accurate, Lightweight Python library to make State of the Art Embedding
Homework2
Дата и время, работа с файлами, csv
kaggle-severstal
Catalyst segmentation pipeline
lecture_i2ml
gh-page
open-metric-learning
Metric learning and retrieval pipelines, models and zoo.
pandas
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
PhysicalBasicsofComputerKiller
Скрипт на основе Selenium, который получает за вас автомат по предмету "Физические основы ЭВМ" на ВМК МГУ
polars
Fast multi-threaded, hybrid-out-of-core query engine focussing on DataFrame front-ends
pysparkCART
Decission tree realisation iwith pyspark. Home work for CMC MSU cource
tabnet
PyTorch implementation of TabNet paper
torchscale
Foundation Architecture for (M)LLMs