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Time series analysis on NIFTY-50 index stock data. The project visualises trends in stock data and explores various time-series analysis models such as ARIMA, ARMA and deep learning models such as LTSM and RNN to predict stock prices with the highest accuracy.

The official implementation of ICLR2025 paper for shift-invariant neural networks

This respiratory contains the implementation codes of wind-speed prediction in energy forecasting. This study focused on deep neural network based approaches, like the nonlinear autoregressive exogenous inputs (NARX), nonlinear input-output (NIO), and nonlinear autoregressive (NAR) neural network... Read more

Longsword Stance RESTful Service Working demo: https://www.youtube.com/watch?v=v7hvOyPQ0EM Longsword Stance RESTful Service: Invokes prediction results with real-time multivariate time series data. Using Flask and python, the pre-trained bidirectional LSTM deep learning model is loaded to memory... Read more

This repository contains list of papers according to our survey "Deep Autocorrelation Modeling for Time-series Forecasting: Progress and Prospects".

Codebase for the Paper "Deep Semi-supervised Learning (SSL) for Time Series Classification (TSC)" to appear at the ICMLA '21

The MATLAB code implements a Transformer model, a recent innovation in deep neural networks. It includes modules for multi-head attention and feed-forward layers, enabling advanced sequence modeling and feature extraction. The code can be used for various tasks such as natural language processing... Read more

Analysis of Air Pollution prediction and time-series forecast of PM2.5 Pollutant using Machine Learning Algorithms (SVM, Decision Tree and Random Forest) and Deep Learning Algorithms (CNN, Bi-LSTM). Also considered for improved performances is random search hyper-parameter tuning using Ray-Tune w... Read more