rifqifai

AdminHSPA

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

cnn-text-clasification

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

Flappy-Bird-Genetic-Algorithm

Implementasi Algoritma Genetika dan Aplikasi Model Pelatihan Multilayer Perceptron

HappyBird_Game

Membuat Game Happy Bird Menggunakan Construct 2 Engine

NorthwindAPI

Integrated nortwind database with php and bootstrap framework

PMB-InformatikaUMS

System Managemen Pendaftaran Mahasiswa Baru

pytorch-sentiment-classification

LSTM and CNN sentiment analysis

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.

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.

rifqifai/cnn-text-clasification

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

rifqifai/AdminHSPA

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

rifqifai/HappyBird_Game

Membuat Game Happy Bird Menggunakan Construct 2 Engine

rifqifai/text-preprocessing

Text preprocessing using python from CSV data

rifqifai/NorthwindAPI

Integrated nortwind database with php and bootstrap framework

rifqifai/PMB-InformatikaUMS

System Managemen Pendaftaran Mahasiswa Baru

rifqifai/Aplikasi_Aksara_Jawa

Modul Pembuatan Aplikasi Pengenalan Aksara Jawa Menggunakan Construct 2 Engine

rifqifai/Flappy-Bird-Genetic-Algorithm

Implementasi Algoritma Genetika dan Aplikasi Model Pelatihan Multilayer Perceptron

rifqifai/pytorch-sentiment-classification

LSTM and CNN sentiment analysis

rifqifai/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.

rifqifai/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.

rifqifai/Best-README-Template

An awesome README template to jumpstart your projects!

rifqifai/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

rifqifai/CS291K

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

rifqifai/deep-learning-RNN-sentiment-analysis

Sentiment Analysis with LSTM using Pytorch

rifqifai/ETL-MongoDB-PowerBI

Pemrosesan ETL menggunakan Pentaho ke Mongodb yang divisualisasikan dengan PowerBI

rifqifai/exam-pwa-rifqi-01

rifqifai/Game-Ontology-Protege

Pengembangan model ontologi pada domain game

rifqifai/hyva-custom-theme

rifqifai/machine-learning-examples

This repository contains various examples of machine learning workflows.

rifqifai/macos-terminal-themes

Color schemes for default macOS Terminal.app

rifqifai/select2

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

rifqifai/sentence-classification-pytorch

Sentiment analysis with variable length sequences in pytorch

rifqifai/sentiment-analysis-torchtext

Seniment Analysis in Torchtext

rifqifai/shopify-custom-theme

rifqifai/Web-Scrapping-with-Python

Using BeautifulSoup

rifqifai/Weka-Classification

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