denismihailapov Goto Github PK

brain-tumor-segmentation

Pytorch implementaion of UNet, Deep ResUnet and ONet models for the brain tumor segmentation task

clojure-graphql

denismihailapov.github.io

distilling-the-knowledge-in-a-neural-network

Demonstration of transfer of knowledge and generalization with distillation

fclnn

gpu_prog_fit

Программирование графических процессоров А.А. Романенко (NSU FIT master 2022)

knowledge-distillation-zoo

Pytorch implementation of various Knowledge Distillation (KD) methods.

naga

Datalog based rules engine

norse-asr

Применение функционала библиотеки моделирования импульсных нейронных сетей Norse для задачи распознавания речи.

nsu_fit_deeplearning

My solutions for fit nsu (master) deeplearning course

open_stt

Open STT

pycad

pyramid-attention-networks-pytorch

Implementation of Pyramid Attention Networks for Semantic Segmentation.

pytools

this repository contains utilities for training and preparing models (PyTorch)

pytorch-cifar100-shift-augs

Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet, NasNet, Residual Attention Network, SENet, WideResNet)

slim-unetr

An Efficient, High-Quality 3D Segmentation for Medical Image Analysis with Constrained Computational Resources

stock-x

NN models designed to analyze and predict stock market from any stock data given

test_methods