Jupyter-PowerShell
PRML
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Jupyter-PowerShell | PRML | |
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1 | 1 | |
100 | 11,250 | |
- | - | |
1.6 | 0.0 | |
over 2 years ago | almost 2 years ago | |
Jupyter Notebook | Jupyter Notebook | |
GNU General Public License v3.0 or later | MIT License |
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Jupyter-PowerShell
PRML
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Probabilistic Machine Learning, Kevin Murphy (2nd edition, 2021)
It's a regression as far as code readability goes for fairly straightforward reasons: almost everything in Matlab is a matrix. Matrices are not first class citizens in Python, and it matters. I use Python a hell of a lot more than Matlab, but for examining how an algorithm works, Matlab wins. Go look at these PRML collections in Python and Matlab and see if you disagree:
https://github.com/ctgk/PRML
https://github.com/PRML/PRMLT
What are some alternatives?
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retrolab - JupyterLab distribution with a retro look and feel 🌅
ydata-profiling - 1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
iterative-grabcut - This algorithm uses a rectangle made by the user to identify the foreground item. Then, the user can edit to add or remove objects to the foreground. Then, it removes the background and makes it transparent.
beakerx - Beaker Extensions for Jupyter Notebook
simfin-tutorials - Tutorials for SimFin - Simple financial data for Python
py - Repository to store sample python programs for python learning
pyprobml - Python code for "Probabilistic Machine learning" book by Kevin Murphy