lstm-cnn

zjrn/LSTM-CNN_CLASSIFICATION

HowieMa/lstm_multi_modal_UNet

[ICIVC 2019] "LSTM multi-modal UNet for Brain Tumor Segmentation"

Jeevesh8/GHI-prediction

PyTorch Code for running various time series models for different time stamps and confidence intervals for Solar Irradiance prediction.

TheAnig/NER-LSTM-CNN-Pytorch

End-to-end-Sequence-Labeling-via-Bi-directional-LSTM-CNNs-CRF-Tutorial

afzalhussain23/Image-Based-CFD-Using-Deep-Learning

Undergraduate Research Project

aminullah6264/Activity_Rec_ML-LSTM

Activity Recognition using Temporal Optical Flow Convolutional Features and Multi-Layer LSTM

spacewalk01/cnn-lstm-for-link-prediction

Keras implementation of path-based link prediction model for knowledge graph completion

AmirAbaskohi/SemEval2022-Task6-Sarcasm-Detection

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 on sarcasm detection are presented in this paper.

AmritK10/Image_Captioning

Image Captioning using LSTM and Deep Learning on Flickr8K dataset.

snsten/SP500_Time-Series_Forecasting

S&P500 Stock Index Movement Forecastor with various Statistical and Machine Learning Models

ThejanW/FlowChroma

A Deep Learning Based Automated Video Colorization Framework

quiteconfused/stock_picker

A stock selection and prediction tool for the next day using a variety of stacked LSTM neural networks

sudo-rushil/dga-intel-web

This deep learning model uses a CNN-LSTM architecture to predict whether a given domain name is genuine or was artificially generated by a DGA.

wduo/LSTM_Action_Recognition

LSTM action recognition.

asmitapoddar/Clinical-Named-Entity-Recognition-for-EHR

Clinical Named Entity Recognition for EHR

cjbayron/imageclassifier-cli

An easy-to-use CLI tool for training and testing image classifiers

ajitsingh98/TimeSeriesForecastingModelsComparison

A comparative analysis of various machine learning models for time series forecasting, including traditional methods and LLMs.

jackshendrikov/sentimento

NLP with LSTM for Sentiment Analysis of English texts

mohammad95labbaf/EURUSD_LSTM_Attention

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

busraoguzoglu/MNIST-VAE

VAE Implementation with LSTM Encoder and CNN Decoder

minhnhat2001vt/Visual-Question-Answering-VQA-with-CNN-LSTM-and-Transformers

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.

ningshixian/LSTM-CNN-SCOPE

利用 keras 构建LSTM- CNN模型实现NLP模糊限制语的范围检测

ShubhamSood1406/StockMarketML

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

belcekaya/master_thesis

Deep Learning models to predict traffic intensity in Madrid city

Devang-Shah-49/Emissions-Predictor

This repository contains code for a highly efficient LSTM based DL model which could predict greenhouse gas emissions using satellite imagery data.

frankhjh/Abnormality-Recognition-in-Medical-Image-Report

Use several classical deep learning models to solve multi-label NLP classification problem

heloowird/tensorflow_examples

tensorflow examples

InsiderPants/AmazonReview-Sentiment-Analysis

Sentiment Analysis using Conv1D and LSTM

JEENB/Heavy-Drinking-Detection

Heavy Drinking Detection using deep learning techniques

parth2050/awesome-NLP-notebooks

A repository contains necessary foundational exercises in NLP for beginners.

soufianehr/Feeding-a-datalake-from-Twitter-and-sentiment-analysis-of-the-collected-tweets-ML-DL

darian-catalin-cucer/LSTM

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.