lstm-neural-network
There are 179 repositories under lstm-neural-network topic.
gabrielspmoreira/chameleon_recsys
Source code of CHAMELEON - A Deep Learning Meta-Architecture for News Recommender Systems
Ronak-59/Stock-Prediction
Smart Algorithms to predict buying and selling of stocks on the basis of Mutual Funds Analysis, Stock Trends Analysis and Prediction, Portfolio Risk Factor, Stock and Finance Market News Sentiment Analysis and Selling profit ratio. Project developed as a part of NSE-FutureTech-Hackathon 2018, Mumbai. Team : Semicolon
IBM/MAX-Weather-Forecaster
Predict hourly weather features given historical data for a specific location
mounalab/LSTM-RNN-VAD
Voice Activity Detection LSTM-RNN learning model
jyoti0225/Air-Pollution-Forecasting
Time Series Analysis of Air Pollutants(PM2.5) using LSTM model
hellojinwoo/TorchCoder
PyTorch based autoencoder for sequential data
bzantium/EA-LSTM
EA-LSTM: Evolutionary attention-based LSTM for time series prediction
pankush9096/Stock-Prediction-using-LSTM
I will be considering the google stocks data and will create a LSTM network for prediction.
snrazavi/Deep-Learning-for-NLP
Contains different course tutorials and jupyter notebook file for applying different Deep Learning models in different NLP tasks such as text classification, summarization, translation, etc.
dgovor/Sign-Language-Translator
Neural Network that is able to translate any sign language into text.
Merterm/Etymon
Find the origin of words in every language using a Deep Neural Network trained to create an etymological map.
sahilnanda1995/CryptoAITrader
This repo contains backtesting scripts for various models(mainly LSTM) using different type of datasets to predict bitcoin price. Upto 98.7% accuracy, but let me tell you it’s not enough to generate profits on a regular basis ;)
0zgur0/STAckable-Recurrent-network
[PAMI 2021] Gating Revisited: Deep Multi-layer RNNs That Can Be Trained
HRSadeghi/NeuralPersianPoet
Neural Persian Poet: A sequence-to-sequence model for composing Persian poetry
thenomaniqbal/Traffic-flow-prediction
Long Short-Term Memory(LSTM) is a particular type of Recurrent Neural Network(RNN) that can retain important information over time using memory cells. This project includes understanding and implementing LSTM for traffic flow prediction along with the introduction of traffic flow prediction, Literature review, methodology, etc.
MohamedAliHabib/Stock-Price-Predictor
Building an LSTM Recurrent Neural Network for Predicting Stock Market Prices.
iSiddharth20/Generative-AI-Based-Spatio-Temporal-Fusion
A Novel Approach leveraging Auto-Encoders, LSTM Networks and Maximum Entropy Principle for Video Super-Resolution (Upscaling and Frame Interpolation)
amycardoso/retrieval-based-chatbot
Analysis Of The Context Size Impact In Deep Learning Conversational Systems
kkmk11/NETWORK-INTRUSION-DETECTION-SYSTEM
This is a software application to detect network intrusion by monitoring a network or system for malicious activity and predicts whether it is Normal or Abnormal(attacked with intrusion classes like DOS/PROBE/R2L/U2R).
tmatha/lstm
Training an LSTM network on the Penn Tree Bank (PTB) dataset
menardai/chromecast_vad
RNN implementation of a voice activity detector to control Chromecast device volume.
thomasvrussell/snail
SuperNova Artificial Inference by Lstm neural networks (SNAIL)
TRAN-Gia-Quoc-Bao/Project-Automotive-Control-using-Surface-Electromyography
My work during the research internship "Automotive Control using Surface Electromyography" at The University of Tokyo, Jun.-Sep. 2020
rgdavies92/tensorflow-spam
✉️ 🐖 Spam email identification using NLP and a RNN with TensorFlow
IamAdiSri/auth-id
A hierarchical bi-LSTM model trained to identify the author of a given email (SMAI@IIIT-H 2017)
takp/stock-price-predictor
🤖 Predicting the stock price using LSTM (Deep Learning)
ammarlodhi255/image-captioning-system-to-assist-the-blind
An image captioning system that is able to predict and speak out a caption of an image taken by visually impaired.
chandan8kumar/Automated-Image-Caption-Generator
Caption Generation is a challenging artificial intelligence problem where a textual description must be generated for a given photograph.
Data-Science-kosta/Forecasting-air-pollution-LSTM-model-and-Regression-trees-model
Forecasting air pollution from given weather data. Two models were implemented: Regression Trees and LSTM model.
kochlisGit/LSTM-Stock-Predictions
Prediction of Stock price using Recurrent Neural Network (RNN) models. Contains GRU, LSTM, Bidirection LSTM & LSTM combinations with GRU units. The models were deveoped using the keras module from Tensorlfow.
priyanshu2015/Weather-Forecasting
Using LSTM model to predict temperature using data of previous 3hours.
Smarker/predict-ether
python meetup slides
giuliots95/Time_series_forecast_with_LSTM_network
This repository contains the implementation of a recurrent neural network (LSTM from keras library) with the purpose of forecasting target time series, given the targets historical records and covariates. The project uses a toy data set, while focusing on the data transformation tasks (pandas dataframes to 3D numpy arrays required by recurrent networks) and on the hyperparameters tuning tasks, taking advantage of keras_tuner package.
PexoDev/sc2eval
LSTM-based machine learning solution for evaluation of strategic position in Starcraft II.
WorkflowWan/DTW-LSTM
A fast, effective and accurate algorithm for univariate time series forecasting
xoire/Forecasting-Stock-Price
Forecasting Stock Price (Independent Capstone project)