intanq Goto Github PK

abc

aws-transcribe-streaming-partial-res

azure-stream-analytics

Azure Stream Analytics

bank-customer-churn-prediction-

Implements binary classification task to predict whether a customer will likely to churn based on several independent variables. Using a real and normalized data from one of the biggest banks in Indonesia.

blackjack

disaster-tweets-classification

Implements binary classification task on tweets to determine whether it represents the occurrence of a disaster or not using Recurrent Neural Network (RNN).

duplicate-questions-detection-nlp

Duplicate questions detection using Siamese Neural Networks Architecture

ffnn-and-cnn-using-mnist-and-svhn-datasets

Implements FFNN (feed forward neural networks) and CNN (convolutional neural network) to perform classification tasks on MNIST and SVHN datasets.

generative-model-exploration-anime-face

hackerranksolutions

Solutions to HackerRank's Problems

hotel-room-booking-website-using-cassandra

Application to book a room in a hotel using a nosql database called Cassandra

if5171

Materials for IF5171 DSAI course

indonesian-financial-domain-lm

Post-training on Indonesian contextual language model (IndoBERT) for financial domain

mgnfmgfm

predicting-rain-event-using-ffnn

Implements binary classification task to predict rain event by using feed forward neural networks.

question-answering-intelligent-system

Implements a question answering system with several knowledge bases such as web scraped the most relevant website (summarized and not summarized), and user-provided knowledge base. Using a pretrained model DistilBERT and Tesseract OCR to recognize handwritten questions.

react-admin-dashboard

Complete React Admin Dashboard

semi-supervised-learning

Semi supervised learning on MNIST dataset. Using pretrained layers (trained using Autoencoder and Variational Autoencoder algos) to perform multiclass classification.

tic-tac-toe-game

Tic Tac Toe game written in Python

transfer-learning-resnet18

Implement multiclass classification task to classify images by using pretrained model ResNet18. Transfer learning with feature extractor and finetuning are used.

uda

Unsupervised Data Augmentation (UDA)

unsupervised-learning-projects

Projects on unsupervised learning. Implementation on PCA, Autoencoder, and Variational Autoencoder

youtube