lstm-neural-network

Here are 213 public repositories matching this topic...

gabrielspmoreira / chameleon_recsys

Source code of CHAMELEON - A Deep Learning Meta-Architecture for News Recommender Systems

deep-neural-networks deep-learning tensorflow word2vec word-embeddings lstm rnn recommendation-system recommendation-engine recommender-system recommendation-algorithms rnn-tensorflow lstm-neural-networks lstm-neural-network news-recommendation

UpdatedMar 24, 2023
Python

Ronak-59 / Stock-Prediction

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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

data-science machine-learning sentiment-analysis algorithms risk-analysis visualisation artificial-intelligence stock-price-prediction stock-prediction lstm-neural-network

UpdatedFeb 28, 2020
JavaScript

IBM / MAX-Weather-Forecaster

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Predict hourly weather features given historical data for a specific location

machine-learning docker-image weather-forecast machine-learning-models lstm-neural-network

UpdatedMay 7, 2025
Python

dgovor / Sign-Language-Translator

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Neural Network that is able to translate any sign language into text.

python opencv machine-learning deep-learning neural-network tensorflow keras asl sign-language lstm-neural-network sign-language-recognition sign-language-translation dense-neural-network mediapipe

UpdatedJul 24, 2024
Python

jyoti0225 / Air-Pollution-Forecasting

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Time Series Analysis of Air Pollutants(PM2.5) using LSTM model

python time-series lstm forecasting rnn air-pollution time-series-analysis multivariate-timeseries lstm-neural-network rnn-lstm univariate-analysis air-pollutants air-pollution-prediction

UpdatedAug 12, 2020
Jupyter Notebook

mounalab / LSTM-RNN-VAD

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Voice Activity Detection LSTM-RNN learning model

tensorflow lstm rnn vad rnn-tensorflow nlp-machine-learning lstm-neural-network

UpdatedApr 17, 2018
Python

hellojinwoo / TorchCoder

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PyTorch based autoencoder for sequential data

lstm autoencoder dimensionality-reduction representation-learning recurrent-neural-network lstm-neural-network

UpdatedOct 29, 2020
Python

bzantium / EA-LSTM

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EA-LSTM: Evolutionary attention-based LSTM for time series prediction

time-series evolutionary-algorithm lstm-neural-network

UpdatedJan 13, 2020
Python

thenomaniqbal / Traffic-flow-prediction

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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.

deep-learning traffic lstm long-short-term-memory lstm-neural-network traffic-flow-prediction traffic-flow-forecasting traffic-flow-modeling

UpdatedJan 22, 2025
Jupyter Notebook

pankush9096 / Stock-Prediction-using-LSTM

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I will be considering the google stocks data and will create a LSTM network for prediction.

python deep-learning stock-price-prediction lstm-neural-network

UpdatedOct 15, 2023
Jupyter Notebook

snrazavi / Deep-Learning-for-NLP

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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.

nlp machine-learning deep-learning sentiment-analysis text-classification machine-translation transformers recurrent-neural-networks transformer text-summarization lstm-neural-network

UpdatedSep 17, 2021
Jupyter Notebook

Merterm / Etymon

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Find the origin of words in every language using a Deep Neural Network trained to create an etymological map.

language deep-learning natural-language word-embeddings keras etymology lstm lstm-model words scraped-data lstm-neural-networks keras-tensorflow etymological-relationships lstm-layer etymologies lstm-networks lstm-neural-network etymology-data keras-implementations

UpdatedMay 18, 2018
JavaScript

sahilnanda1995 / CryptoAITrader

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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 ;)

bitcoin backtesting price-prediction lstm-neural-network

UpdatedDec 15, 2019
Python

0zgur0 / STAckable-Recurrent-network

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[PAMI 2021] Gating Revisited: Deep Multi-layer RNNs That Can Be Trained

deep-learning lstm gru rnn rnn-tensorflow lstm-neural-network gru-neural-networks pami-2021

UpdatedDec 3, 2021
Python

iSiddharth20 / Generative-AI-Based-Spatio-Temporal-Fusion

Sponsor

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A Novel Approach leveraging Auto-Encoders, LSTM Networks and Maximum Entropy Principle for Video Super-Resolution (Upscaling and Frame Interpolation)

autoencoder collaborate maximum-entropy-regularization spatio-temporal-modeling lstm-neural-network frame-interpolation video-super-resolution lstm-autoencoder maxent-models generative-ai spatio-temporal-fusion

UpdatedJul 5, 2024
Python

HRSadeghi / NeuralPersianPoet

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Neural Persian Poet: A sequence-to-sequence model for composing Persian poetry

UpdatedAug 15, 2022
Jupyter Notebook

lear-ner97 / Transformer-LSTM-DAF

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This is the official implementation of our research paper "One-day-ahead electricity load forecasting of non-residential buildings using a modified Transformer-BiLSTM adversarial domain adaptation forecaster"

transformer cnn-model energy-consumption domain-adaptation lstm-neural-network time-series-forecasting pytorch-implementation

UpdatedMar 22, 2025
Python

kkmk11 / NETWORK-INTRUSION-DETECTION-SYSTEM

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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).