MachineLearningStocks VS stock-prediction-deep-neural-learning

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

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MachineLearningStocks stock-prediction-deep-neural-learning
57 44
1,625 422
- -
0.0 7.1
about 1 month ago 3 months ago
Python 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.

MachineLearningStocks

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

We haven't tracked posts mentioning MachineLearningStocks yet.
Tracking mentions began in Dec 2020.

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.

We haven't tracked posts mentioning stock-prediction-deep-neural-learning yet.
Tracking mentions began in Dec 2020.

What are some alternatives?

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

mplfinance - Financial Markets Data Visualization using Matplotlib

vectorbt - Find your trading edge, using the fastest engine for backtesting, algorithmic trading, and research.

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

zvt - modular quant framework.

dm-haiku - JAX-based neural network library

easyesn - Python library for Reservoir Computing using Echo State Networks

pybroker - Algorithmic Trading in Python with Machine Learning

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.

Sklearn-genetic-opt - ML hyperparameters tuning and features selection, using evolutionary algorithms.

CV-compare - Use **AI** to Compare the CV to the job description to beat the ATS (Applicant tracking systems) in order to higher your chances to get the job

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

ibkr-options-volatility-trading - Volatility trading using Long and Short Straddle options strategies on Interactive Broker using Yahoo Finance and TWS API