Build the deep learning applications
-
Updated
Dec 27, 2018
Build the deep learning applications
Study of aircraft engine wear for Safran. (2021)
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.
Collection of ML projects ranging from language translation to image generation using NN architectures such as LSTM and GANs
LSTM in numpy (backprop)
Detect sentiment of IMDB Movie Reviews
Sample notebooks/snippets related to my neural networks experiments
Tutorial-LSTM: Project for testing LSTM time series forecasting. See notebooks for complete information
This project contains a neural network architecture to automatically generate captions from images using LSTM and CNN
Using LSTM for prediction of stock prices on different features used for training the LSTM model.
Semantic Scene Segmentation for Trajectory Prediction
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.
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 for code and data subsets used in different Kaggle data science competitions.
Corizo - Minor Project On Stock Price Prediction Using Long Short-Term Memory(LSTM) Networks.
An NLP project for Sentiment Analysis using different Deep Learning models.
This includes a program written in python for implementing LSTM in tensorflow.
LSTM network designed for prediction and/or classification. (Tensorflow)
Code and dataset information of our paper "Monocular Vision-based Prediction of Cut-in Maneuvers with LSTM Networks".
Add a description, image, and links to the lstm-networks topic page so that developers can more easily learn about it.
To associate your repository with the lstm-networks topic, visit your repo's landing page and select "manage topics."