#Lstm-model

Showing 12 of 12 repositories tagged #lstm-model, ranked by stars

echowei

DeepTraffic

Deep Learning models for network traffic classification

stock-prediction-deep-neural-learning

Predicting stock prices using a TensorFlow LSTM (long short-term memory) neural network for times series forecasting

time-series-forecasting-pytorch

Acquiring data from Alpha Vantage and predicting stock prices with PyTorch's LSTM

A LSTM model using Risk Estimation loss function for stock trades in market

Cryptocurrency-Prediction-with-Artificial-Intelligence

First Version.. Cryptocurrency Prediction with Artificial Intelligence (Deep Learning via LSTM Neural Networks)- Emirhan BULUT

Network-Intrusion-Detection-Using-Machine-Learning

A Novel Statistical Analysis and Autoencoder Driven Intelligent Intrusion Detection Approach

Stock-Price-Prediction-Using-LSTM

This project is about predicting stock prices with more accuracy using LSTM algorithm. For this project we have fetched real-time data from yfinance library.

A recurrent (LSTM) neural network in C

Score

★ 100 ⑂ 15 —

MiteshPuthran

Image-Caption-Generator

The LSTM model generates captions for the input images after extracting features from pre-trained VGG-16 model. (Computer Vision, NLP, Deep Learning, Python)

Python based Quant Finance Models, Tools and Algorithmic Decision Making

CryptoBoat is an advanced cryptocurrency trading bot powered by artificial intelligence. It combines LSTM neural networks and Random Forest algorithms to make intelligent trading decisions in the cryptocurrency futures market.

Single-stock analysis using Python and local machine learning/ AI tools (Ollama, LSTM).