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#

lstm-neural-network

Here are 230 public repositories matching this topic...

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

  • UpdatedFeb 28, 2020
  • JavaScript

Predict hourly weather features given historical data for a specific location

  • UpdatedSep 17, 2025
  • Python

Voice Activity Detection LSTM-RNN learning model

  • UpdatedApr 17, 2018
  • Python

PyTorch based autoencoder for sequential data

  • UpdatedOct 29, 2020
  • Python

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

  • UpdatedJan 13, 2020
  • Python

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.

  • UpdatedJan 22, 2025
  • Jupyter Notebook

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

  • UpdatedOct 15, 2023
  • Jupyter Notebook

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.

  • UpdatedSep 17, 2021
  • Jupyter Notebook

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 ;)

  • UpdatedDec 15, 2019
  • Python

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

  • UpdatedDec 3, 2021
  • Python

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"

  • UpdatedSep 6, 2025
  • Python

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

  • UpdatedOct 30, 2025
  • Python

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).

  • UpdatedMay 18, 2023
  • JavaScript
tensorflow-spam

✉️ 🐖 Spam email identification using NLP and a RNN with TensorFlow

  • UpdatedMar 29, 2022
  • Jupyter Notebook

Training an LSTM network on the Penn Tree Bank (PTB) dataset

  • UpdatedNov 5, 2018
  • Jupyter Notebook

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