Sklearn-genetic-opt VS MachineLearningStocks

Compare Sklearn-genetic-opt vs MachineLearningStocks and see what are their differences.

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Sklearn-genetic-opt MachineLearningStocks
6 57
275 1,667
- -
4.6 0.0
15 days ago 18 days ago
Python Python
MIT License MIT License
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.

Sklearn-genetic-opt

Posts with mentions or reviews of Sklearn-genetic-opt. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-06-02.

MachineLearningStocks

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

What are some alternatives?

When comparing Sklearn-genetic-opt and MachineLearningStocks you can also consider the following projects:

genetic-algorithm-in-python - A genetic algorithm written in Python for educational purposes.

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

nni - An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

zvt - modular quant framework.

evalml - EvalML is an AutoML library written in python.

pybroker - Algorithmic Trading in Python with Machine Learning

sklearn-deap - Use evolutionary algorithms instead of gridsearch in scikit-learn

stock-prediction-deep-neural-learning - Predicting stock prices using a TensorFlow LSTM (long short-term memory) neural network for times series forecasting

de-torch - Minimal PyTorch Library for Differential Evolution

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

Ray - Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

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