nikitadurasov Goto Github PK

algorithms

awesome-deep-learning-papers

The most cited deep learning papers

bash-sources

Just a bunch of configs and shell scripts I use daily

cayman-blog

Cayman Blog is a Jekyll theme for GitHub Pages, based on Cayman theme

cross-domain-crowd-counting

Code for the paper "Leveraging Self-Supervision for Cross-Domain Crowd Counting"(CVPR 2022)

cuda_crash

Repo for Udacity CUDA course assignments

detection-reid

dl-uncertainty

Out-of-the-box models and approaches for Uncertainty Estimation

dl_cshse_spring2018

Материалы курса "Глубинное обучение", прочитанного на ФКН ВШЭ весной 2018г.

dstorch

Repository for convenient usage of popular computer vision datasets with Pytorch

east_pytorch

Pytorch implementation of EAST text detector model

emacs-config

Some configs files for my emacs and its modes

graphanomaly

Code for workshop paper Learning Node Embeddings for Influence Set Completion

ig_cluster_splitter

My summer internship project in Center for Algorithmic Biotechnology, SPbU

jupyter_cc

Jupyter plugin to run CUDA code inside your Jupyter notebook

lipgan

This repository contains the codes for LipGAN. LipGAN was published as a part of the paper titled "Towards Automatic Face-to-Face Translation".

masksembles

Official repository for the paper "Masksembles for Uncertainty Estimation" (CVPR 2021).

ml-course-hse

Машинное обучение на ФКН ВШЭ

mpi-1d-heat-equation

Program numerically solves 1D heat transfer equation using MPI

mpitutorial

MPI programming lessons in C and executable code examples

papers

here I store some papers I've enjoyed to read (should update this at least every week, but sometimes I'm too lazy c:)

parallel_prog

MIPT parallel programming course

probabilistic-programming-and-bayesian-methods-for-hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

pupil_fast_algorithm

pytorch-yolov3

Minimal PyTorch implementation of YOLOv3

redo

Code for paper Unsupervised Object Segmentation by Redrawing

sedgewick_algorithms

spd_reduce

This repo is dedicated to Deep Manifold Learning of Symmetric Positive Definite (SPD) Matrices with Application to Face Recognition article from AAAI 2017.

statistics-for-data-scientists

Code and data associated with the book "Statistics for Data Scientists: 50 Essential Concepts"

tensorflow

An Open Source Machine Learning Framework for Everyone