Time-Series-Transformer VS stock-prediction-deep-neural-learning

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

Time-Series-Transformer

A data preprocessing package for time series data. Design for machine learning and deep learning. (by allen-chiang)
Deep Learning Data Science time-series Stock
Source Code
allen-chiang.github.io
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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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InfluxDB - Power Real-Time Data Analytics at Scale
Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
www.influxdata.com
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Time-Series-Transformer stock-prediction-deep-neural-learning
18 44
191 432
- -
0.0 7.1
over 3 years ago 4 months ago
Jupyter Notebook Jupyter Notebook
MIT License Creative Commons Zero v1.0 Universal
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

Time-Series-Transformer

Posts with mentions or reviews of Time-Series-Transformer. 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-Transformer and stock-prediction-deep-neural-learning you can also consider the following projects:

tsfresh - Automatic extraction of relevant features from time series:

mplfinance - Financial Markets Data Visualization using Matplotlib

nixtlats - Deep Learning for Time Series Forecasting.

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

ydata-profiling - 1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.

dm-haiku - JAX-based neural network library

pycaret - An open-source, low-code machine learning library in Python

easyesn - Python library for Reservoir Computing using Echo State Networks

Made-With-ML - Learn how to design, develop, deploy and iterate on production-grade ML applications.

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-Transformer vs tsfresh stock-prediction-deep-neural-learning vs mplfinance Time-Series-Transformer vs nixtlats stock-prediction-deep-neural-learning vs bulbea Time-Series-Transformer vs ydata-profiling stock-prediction-deep-neural-learning vs dm-haiku Time-Series-Transformer vs pycaret stock-prediction-deep-neural-learning vs easyesn Time-Series-Transformer vs Made-With-ML stock-prediction-deep-neural-learning vs MachineLearningStocks stock-prediction-deep-neural-learning vs telemanom stock-prediction-deep-neural-learning vs sc2eval