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adminhspa

You can easily adjust the devices to manage admin page on your site

aplikasi_aksara_jawa

Modul Pembuatan Aplikasi Pengenalan Aksara Jawa Menggunakan Construct 2 Engine

best-readme-template

An awesome README template to jumpstart your projects!

cnn-lstm-bilstm-deepcnn-clstm-in-pytorch

In PyTorch Learing Neural Networks Likes CNN(Convolutional Neural Networks for Sentence Classification (Y.Kim, EMNLP 2014) 、LSTM、BiLSTM、DeepCNN 、CLSTM、CNN and LSTM

cnn-text-clasification

Klasifikasi teks menggunakan convolutional neural network (CNN) berdasarkan polaritas positif dan negatif yang meliputi analisis sentimen dan klasifikasi pertanyaan

cs291k

🎭 Sentiment Analysis of Twitter data using combined CNN and LSTM Neural Network models

deep-learning-rnn-sentiment-analysis

Sentiment Analysis with LSTM using Pytorch

etl-mongodb-powerbi

Pemrosesan ETL menggunakan Pentaho ke Mongodb yang divisualisasikan dengan PowerBI

exam-pwa-rifqi-01

flappy-bird-genetic-algorithm

Implementasi Algoritma Genetika dan Aplikasi Model Pelatihan Multilayer Perceptron

game-ontology-protege

Pengembangan model ontologi pada domain game

happybird_game

Membuat Game Happy Bird Menggunakan Construct 2 Engine

hyva-custom-theme

machine-learning-examples

This repository contains various examples of machine learning workflows.

macos-terminal-themes

Color schemes for default macOS Terminal.app

northwindapi

Integrated nortwind database with php and bootstrap framework

pmb-informatikaums

System Managemen Pendaftaran Mahasiswa Baru

pytorch-sentiment-classification

LSTM and CNN sentiment analysis

select2

Select2 is a jQuery based replacement for select boxes. It supports searching, remote data sets, and infinite scrolling of results.

sentence-classification-pytorch

Sentiment analysis with variable length sequences in pytorch

sentiment-analysis-torchtext

Seniment Analysis in Torchtext

sentiment-prediction-pytorch

Used PyTorch to train Neural Networks to predict the sentiment of IMDB reviews. Two architectures were used a CNN and a RNN (GRU cell). In both cases, variants with a learned and a pre-trained embedding were built. Finally, a metamodel using the four neural networks is tested.

shopify-custom-theme

text-preprocessing

Text preprocessing using python from CSV data

web-scraping

In this repository, I will collect and parse a web page in order to grab textual data and write the information that i have gathered to a CSV file.

web-scrapping-with-python

Using BeautifulSoup

weka-classification

Implementasi Algoritme Klasifikasi Naïve Bayes, Decision Tree J48, dan Multilayer Perceptron Menggunakan Weka