Time-Series-Forecasting-Using-LSTM VS stock-prediction-deep-neural-learning

Compare Time-Series-Forecasting-Using-LSTM vs stock-prediction-deep-neural-learning and see what are their differences.

Time-Series-Forecasting-Using-LSTM

Time-Series Forecasting on Stock Prices using LSTM (by abhinav-TB)
Pytorch Lstm lstm-neural-networks time-series-forecasting
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stock-prediction-deep-neural-learning

Predicting stock prices using a TensorFlow LSTM (long short-term memory) neural network for times series forecasting (by JordiCorbilla)
Machine Learning Deep Learning deep-neural-networks yfinance lstm-neural-networks lstm-model recurrent-neural-networks stock-prediction stock-prices market-data Finance Cryptocurrency Crypto Lstm Stock time-series jupyter-notebook
Source Code
jordicorbilla.github.io
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Time-Series-Forecasting-Using-LSTM stock-prediction-deep-neural-learning
1 44
13 431
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1.8 7.1
about 1 year ago 4 months ago
Jupyter Notebook Jupyter Notebook
- Creative Commons Zero v1.0 Universal
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Time-Series-Forecasting-Using-LSTM

Posts with mentions or reviews of Time-Series-Forecasting-Using-LSTM. We have used some of these posts to build our list of alternatives and similar projects.

stock-prediction-deep-neural-learning

Posts with mentions or reviews of stock-prediction-deep-neural-learning. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing Time-Series-Forecasting-Using-LSTM and stock-prediction-deep-neural-learning you can also consider the following projects:

pytorch-seq2seq - Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.

mplfinance - Financial Markets Data Visualization using Matplotlib

cryptocurrency-price-prediction - Cryptocurrency Price Prediction Using LSTM neural network

bulbea - :boar: :bear: Deep Learning based Python Library for Stock Market Prediction and Modelling

pytorch-sentiment-analysis - Tutorials on getting started with PyTorch and TorchText for sentiment analysis.

dm-haiku - JAX-based neural network library

flow-forecast - Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).

easyesn - Python library for Reservoir Computing using Echo State Networks

TensorFlow2.0_Notebooks - Implementation of a series of Neural Network architectures in TensorFow 2.0

MachineLearningStocks - Using python and scikit-learn to make stock predictions

telemanom - A framework for using LSTMs to detect anomalies in multivariate time series data. Includes spacecraft anomaly data and experiments from the Mars Science Laboratory and SMAP missions.

sc2eval - LSTM-based machine learning solution for evaluation of strategic position in Starcraft II.

Time-Series-Forecasting-Using-LSTM vs pytorch-seq2seq stock-prediction-deep-neural-learning vs mplfinance Time-Series-Forecasting-Using-LSTM vs cryptocurrency-price-prediction stock-prediction-deep-neural-learning vs bulbea Time-Series-Forecasting-Using-LSTM vs pytorch-sentiment-analysis stock-prediction-deep-neural-learning vs dm-haiku Time-Series-Forecasting-Using-LSTM vs flow-forecast stock-prediction-deep-neural-learning vs easyesn Time-Series-Forecasting-Using-LSTM vs TensorFlow2.0_Notebooks stock-prediction-deep-neural-learning vs MachineLearningStocks stock-prediction-deep-neural-learning vs telemanom stock-prediction-deep-neural-learning vs sc2eval