The goal of this project is to build a VQA model that can take a pair of Image and Question (English) as input, then return the Answer for the Question about the Image.
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Updated
Apr 20, 2024 - Jupyter Notebook
The goal of this project is to build a VQA model that can take a pair of Image and Question (English) as input, then return the Answer for the Question about the Image.
An easy-to-use CLI tool for training and testing image classifiers
Heavy Drinking Detection using deep learning techniques
LSTM (Long Short-Term Memory) is a type of recurrent neural network used for processing sequential data. It has the ability to store and access information over a longer period of time, allowing it to handle tasks such as language modeling, speech recognition, and sequence prediction.
A repository contains necessary foundational exercises in NLP for beginners.
Use several classical deep learning models to solve multi-label NLP classification problem
Deep Learning models to predict traffic intensity in Madrid city
This repository contains code for a highly efficient LSTM based DL model which could predict greenhouse gas emissions using satellite imagery data.
Sentiment Analysis using Conv1D and LSTM
VAE Implementation with LSTM Encoder and CNN Decoder
Clinical Named Entity Recognition for EHR
This project is dedicated to forecasting 1-hour EURUSD exchange rates through the strategic amalgamation of advanced deep learning techniques. The incorporation of key technical indicators—RSI, MA, EMA, and VWAP—enhances the model's grasp of market dynamics
NLP with LSTM for Sentiment Analysis of English texts
A Machine Learning-based Empirical study to predict the Stock Market Price of the future 10 days Using Historical Data. Research Paper is published at https://ieeexplore.ieee.org/document/9342571
A Deep Learning Based Automated Video Colorization Framework
Sarcasm is a term that refers to the use of words to mock, irritate, or amuse someone. It is commonly used on social media. The metaphorical and creative nature of sarcasm presents a significant difficulty for sentiment analysis systems based on affective computing. The technique and results of our team, UTNLP, in the SemEval-2022 shared task 6 …
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