Machine Learning scripts

Recurrent Neural Network for generating sound mimicking input

identify the language of a given word

A deep NLP model that can detect the cause of happiness from the description of happy moment.

순환신경망을 활용한 호가 데이터 기반의 주식시장 예측에 대한 연구 (A Study on the stock market prediction based on bid and ask information using recurrent neural network)

Electricity daily price forecasting done with linear models (ARIMA and UCM) and non-linear models ( kNN, LSTM and GRU).

Forecasting System for Continual Learning Scenarios based on Hoeffding Trees With Change Point Detection Mechanism

This project aims to predict motorcycle trajectories using YOLOv8 for detection, DeepSort for tracking, and CNN-GRU/LSTM for prediction.

A backtranslation based style transfer model.

# Comparing the performance of LSTM and GRU for Text Summarization using Pointer Generator Networks

Predicting, how many left, left-leaning, right, right-leaning and center tweets , GAB posts and their likes are being posted for next day and next few 7 days.

The project is all about predicting the Twitter's tweets as reliable or unreliable

Experiments in the field of Sentiment Analysis using ML Algorithms namely Logistic Regression, Naive Bayes along with tfidf, one hot encoding, bag of words vectorization. Different MLP and RNN models viz. LSTM, GRU, Bidirectional LSTM. Lastly, state of the art BERT model

This project is focused on word to to word transliteration from English to Indic languages and vice-versa. . This was done using seq2seq architecture using **LSTM** and **GRU** and **LSTM with Bahdanau Attention mechanism**.

Code to address Natural Language Generation Tasks via Sequence to Sequence Architecture with Attention Mechanism

PredictBay aims to revolutionize decision-making in investment strategies through intelligent forecasting. Our platform utilizes advanced machine learning algorithms to provide accurate predictions for stocks .

Language modeling using nairaland featured links as dataset

Recognition of million drawings doodle considering three types of birds: 'duck', 'flamingo' and 'swan'. The project focused on six kind of models: MLP, LSTM, GRU, bi-LSTM, CNN and CNN-D