ethereum-economic-model VS homemade-machine-learning

Compare ethereum-economic-model vs homemade-machine-learning and see what are their differences.

homemade-machine-learning

🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained (by trekhleb)
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ethereum-economic-model homemade-machine-learning
3 7
126 22,531
3.2% -
0.0 3.8
12 months ago 9 months ago
Jupyter Notebook Jupyter Notebook
GNU General Public License v3.0 only 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.
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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.

ethereum-economic-model

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

homemade-machine-learning

Posts with mentions or reviews of homemade-machine-learning. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-10-14.

What are some alternatives?

When comparing ethereum-economic-model and homemade-machine-learning you can also consider the following projects:

FFU_VSE_Masters_Thesis_ML_Credit_Risk_Modelling - Repository for my Master's Thesis "Application of Machine Learning Models within Credit Risk Modelling" at Faculty of Finance and Accounting, Prague University of Economics and Prague (FFÚ VŠE)

lego-mindstorms - My LEGO MINDSTORMS projects (using set 51515 electronics)

fastpages - An easy to use blogging platform, with enhanced support for Jupyter Notebooks.

wordle-solver - For educational purposes, a simple script that assists in solving the word game Wordle.

cybergift - 4+ million web3 agents eligible

PyImpetus - PyImpetus is a Markov Blanket based feature subset selection algorithm that considers features both separately and together as a group in order to provide not just the best set of features but also the best combination of features

ethereum-emissions - Estimating the daily energy usage for Ethereum.

rmi - A learned index structure

bamboo - Cooling system modelling for liquid rocket engines.

PythonRobotics - Python sample codes for robotics algorithms.

nbdev - Create delightful software with Jupyter Notebooks

the-elements-of-statistical-learning - My notes and codes (jupyter notebooks) for the "The Elements of Statistical Learning" by Trevor Hastie, Robert Tibshirani and Jerome Friedman