stock-prediction-deep-neural-learning VS sc2eval

Compare stock-prediction-deep-neural-learning vs sc2eval and see what are their differences.

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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sc2eval

LSTM-based machine learning solution for evaluation of strategic position in Starcraft II. (by PexoDev)
Evaluation evaluation-kit Lstm lstm-model lstm-neural-network lstm-neural-networks Machine Learning Machinelearning prediction-model Sc2 starcraft2
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stock-prediction-deep-neural-learning sc2eval
44 1
431 2
- -
7.1 10.0
4 months ago almost 2 years ago
Jupyter Notebook Jupyter Notebook
Creative Commons Zero v1.0 Universal -
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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.

sc2eval

Posts with mentions or reviews of sc2eval. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing stock-prediction-deep-neural-learning and sc2eval you can also consider the following projects:

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

Twitter-sentiment-analysis - A sentiment analysis model trained with Kaggle GPU on 1.6M examples, used to make inferences on 220k tweets about Messi and draw insights from their results.

dm-haiku - JAX-based neural network library

LSTM-Human-Activity-Recognition - Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier

easyesn - Python library for Reservoir Computing using Echo State Networks

Network-Intrusion-Detection-Using-Machine-Learning - A Novel Statistical Analysis and Autoencoder Driven Intelligent Intrusion Detection Approach

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

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

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.

Time-Series-Transformer - A data preprocessing package for time series data. Design for machine learning and deep learning.

stock-prediction-deep-neural-learning vs mplfinance sc2eval vs cryptocurrency-price-prediction stock-prediction-deep-neural-learning vs bulbea sc2eval vs Twitter-sentiment-analysis stock-prediction-deep-neural-learning vs dm-haiku sc2eval vs LSTM-Human-Activity-Recognition stock-prediction-deep-neural-learning vs easyesn sc2eval vs Network-Intrusion-Detection-Using-Machine-Learning stock-prediction-deep-neural-learning vs MachineLearningStocks sc2eval vs TensorFlow2.0_Notebooks stock-prediction-deep-neural-learning vs telemanom stock-prediction-deep-neural-learning vs Time-Series-Transformer