PRML
Jupyter-PowerShell
PRML | Jupyter-PowerShell | |
---|---|---|
1 | 1 | |
11,304 | 100 | |
- | - | |
0.0 | 1.6 | |
about 2 years ago | over 2 years ago | |
Jupyter Notebook | Jupyter Notebook | |
MIT License | GNU General Public License v3.0 or later |
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.
PRML
-
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
Jupyter-PowerShell
What are some alternatives?
retrolab - JupyterLab distribution with a retro look and feel 🌅
nbdev - Create delightful software with Jupyter Notebooks
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.
ydata-profiling - 1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
simfin-tutorials - Tutorials for SimFin - Simple financial data for Python
beakerx - Beaker Extensions for Jupyter Notebook
pyprobml - Python code for "Probabilistic Machine learning" book by Kevin Murphy
py - Repository to store sample python programs for python learning
football-crunching - Analysis and datasets about football (soccer)
notebook - Jupyter Interactive Notebook
prml - Repository of notes, code and notebooks in Python for the book Pattern Recognition and Machine Learning by Christopher Bishop
homemade-machine-learning - 🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained