Investigating the Working of Text Classifiers - COLING 2018
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Updated
Feb 27, 2019 - Python
Investigating the Working of Text Classifiers - COLING 2018
Build the deep learning applications
Multi-task learning models for the rhetorical analysis of scientific publications
Study of aircraft engine wear for Safran. (2021)
Collection of ML projects ranging from language translation to image generation using NN architectures such as LSTM and GANs
LSTM in numpy (backprop)
a hub about code of machine learning algorithom
The project aims to utilize pre-trained Large Language Models (LLMs) for text summarization through diverse fine-tuning techniques. Comparative analysis with baseline RNN/LSTM language models is undertaken, utilizing established metrics such as Rouge score and BLEU.
A simple wrapper to flexibly create a SequenceGenerator Machine learning using LSTM Networks in TfLearn.
Detect sentiment of IMDB Movie Reviews
Sample notebooks/snippets related to my neural networks experiments
This project contains a neural network architecture to automatically generate captions from images using LSTM and CNN
Detecting anomalies in GE stock price data using an LSTM Autoencoder
Using LSTM for prediction of stock prices on different features used for training the LSTM model.
The notebook to my article in LinkedIn
Semantic Scene Segmentation for Trajectory Prediction
A repository for code and data subsets used in different Kaggle data science competitions.
A Machine Learning LSTM Music Generator with RTTTL
Build a Classification model to predict if the questions asked in Quora are duplicates of the existing questions.
Add a description, image, and links to the lstm-networks topic page so that developers can more easily learn about it.
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