juliagerasymenko Goto Github PK

2lab

caso

Project for subject CASO of the 5º Curse of Computer engineering in Deusto University

coursework

One more approach of a converting Binary Search Tree to AVL one

coursework1

coursework_mpj_parallel

crnn-keras

CRNN (CNN+RNN) for OCR using Keras / License Plate Recognition

datatypes

Built-in data types

emotion-and-theme-recognition-in-music-task

emotion-theme-recognition-app

Music emotions and themes classifier app could recognize 56 classes using three trained models (based on ResNet50, InceptionNetV2, EfficientNetB3), applying the transfer learning approach.

exam

function

Functions as a method to raise level of code abstraction

functor

Mappable objects

genetic_algo

go-lab04

go-practice

go-test

golang-url-shortener

index

Repositories Index

javascript

keras-flask-deploy-webapp

:smiley_cat: Pretty & simple image classifier app template. Deploy your own trained model or pre-trained model (VGG, ResNet, Densenet) to a web app using Flask in 10 minutes.

lab1

Lab 1 Repository

lab3

labs

Laboratory Work Generator and Checker

neural-network-contest

practice-1

project

Example project

reverse-avl-algorithm

One more approach of a converting Binary Search Tree to AVL one

tasks

test-1

test3