Egor Kolesnikov's starred repositories

build-your-own-x

Master programming by recreating your favorite technologies from scratch.

ControlNet

Let us control diffusion models!

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pytorch-tutorial

PyTorch Tutorial for Deep Learning Researchers

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DeepLearningExamples

State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.

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ganhacks

starter from "How to Train a GAN?" at NIPS2016

github-trends

🚀 Level up your GitHub profile readme with customizable cards including LOC statistics!

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nlp_course

YSDA course in Natural Language Processing

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Practical_RL

A course in reinforcement learning in the wild

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Production-Level-Deep-Learning

A guideline for building practical production-level deep learning systems to be deployed in real world applications.

Ad-papers

Papers on Computational Advertising

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SuperGluePretrainedNetwork

SuperGlue: Learning Feature Matching with Graph Neural Networks (CVPR 2020, Oral)

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vim-flake8

Flake8 plugin for Vim

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fast-depth

ICRA 2019 "FastDepth: Fast Monocular Depth Estimation on Embedded Systems"

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TransNetV2

TransNet V2: Shot Boundary Detection Neural Network

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hse_missing_cs_education

Это репозиторий для проведения курса по The Missing Semester of Your CS Education в университете Высшая Школа Экономики

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FeatureBooster

FeatureBooster: Boosting Feature Descriptors with a Lightweight Neural Network (CVPR 2023)

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deep_vision_and_graphics

Course about deep learning for computer vision and graphics co-developed by YSDA and Skoltech.

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Image-Matching-Paper-List

A personal list of papers and resources of image matching and pose estimation, including perspective images and panoramas.

nbcommands

Unix commands for Jupyter notebooks.

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xy2xy

A list of technologies similar to inner Yandex technologies

jpeg4py

Python cffi libjpeg-turbo bindings and helper classes

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easy-pi

😎 Материалы для успешного прохождения курсов на Бакалаврской программе «Программная инженерия» ФКН НИУ ВШЭ

lectures

Лекции ПМИ

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deep-conv-attr

An implementation of our CIKM 2018 paper "Deep Conversion Attribution with Dual-attention Recurrent Neural Network"

RuCoLA

Russian Corpus of Linguistic Acceptability

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DCRMTA

DCRMTA: Deep Causal Representation for Multi-Touch Attribution

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deep_school_refactoring_lecture

Материалы к открытой лекции https://deepschool.ru/

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CourseWork2021

Система для автоматического обнаружения основных моментов видеотрансляций / Automatic Highlights Detection of Broadcast Videos System

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