Multi-task learning models for the rhetorical analysis of scientific publications
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Mar 31, 2021 - Python
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Multi-task learning models for the rhetorical analysis of scientific publications
A LSTM based project which tries to predict the category of companies given their name as input, which I built while interning at RisingTide.ai, a small AI based startup aiming to build a smart sales prediction system.
Study of aircraft engine wear for Safran. (2021)
Investigating the Working of Text Classifiers - COLING 2018
Corizo - Minor Project On Stock Price Prediction Using Long Short-Term Memory(LSTM) Networks.
This project contains a neural network architecture to automatically generate captions from images using LSTM and CNN
LSTM network designed for prediction and/or classification. (Tensorflow)
Build the deep learning applications
Semantic Scene Segmentation for Trajectory Prediction
Collection of ML projects ranging from language translation to image generation using NN architectures such as LSTM and GANs
LSTM in numpy (backprop)
The notebook to my article in LinkedIn
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.
Sleep stage classification using LSTM networks
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.
A simple wrapper to flexibly create a SequenceGenerator Machine learning using LSTM Networks in TfLearn.
Sample notebooks/snippets related to my neural networks experiments
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