stock-prediction-deep-neural-learning VS yflive

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

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stock-prediction-deep-neural-learning yflive
44 1
432 18
- -
7.1 4.1
4 months ago almost 3 years ago
Jupyter Notebook Python
Creative Commons Zero v1.0 Universal Apache License 2.0
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.

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.

yflive

Posts with mentions or reviews of yflive. 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 yflive you can also consider the following projects:

mplfinance - Financial Markets Data Visualization using Matplotlib

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

pandas-datareader - Extract data from a wide range of Internet sources into a pandas DataFrame.

dm-haiku - JAX-based neural network library

Yahooquery - Python wrapper for an unofficial Yahoo Finance API

easyesn - Python library for Reservoir Computing using Echo State Networks

Quantel - Official Python wrapper for the Quantel Finance API

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

0xStockBot - 0xStockBot is a Discord Stock Bot made with Python using discord.py

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.

sec-edgar-downloader - 📈 Download filings from the SEC EDGAR database using Python