strategy-ml-nn VS machine-learning

Compare strategy-ml-nn vs machine-learning and see what are their differences.

strategy-ml-nn

This example shows how to use neural networks for writing a trading system on stocks. (by quantiacs)

machine-learning

🤖 Repository with machine learning algorithms and implementations (by zaxoavoki)
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strategy-ml-nn machine-learning
1 1
0 0
- -
0.0 2.6
almost 2 years ago over 2 years ago
Jupyter Notebook Jupyter Notebook
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.

strategy-ml-nn

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

machine-learning

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

What are some alternatives?

When comparing strategy-ml-nn and machine-learning you can also consider the following projects:

Andrew-NG-Notes - This is Andrew NG Coursera Handwritten Notes.

Knet.jl - Koç University deep learning framework.

rtdl - Research on Tabular Deep Learning (Python package & papers) [Moved to: https://github.com/Yura52/rtdl]

ML-Workspace - 🛠 All-in-one web-based IDE specialized for machine learning and data science.

intent_based_chatbot - An intent-based chatbot in python with tflearn and TensorFlow. It can be trained for a specific purpose and works well within that specific scope.

Machine-Learning-Specialization-Coursera - Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG