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@conda-forge @psa-lab @iPRoBe-lab @Raschka-research-group


  1. The "Python Machine Learning (3rd edition)" book code repository

    Jupyter Notebook 1.7k 705

  2. A collection of various deep learning architectures, models, and tips

    Jupyter Notebook 13.7k 3.4k

  3. Working with molecular structures in pandas DataFrames

    Python 301 73

  4. A library of extension and helper modules for Python's data analysis and machine learning libraries.

    Python 3.2k 683

  5. STAT 453: Intro to Deep Learning @ UW-Madison (Spring 2020)

    Jupyter Notebook 464 124

  6. CORAL implementation for ordinal regression with deep neural networks.

    Python 8 2

587 contributions in the last year

Dec Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Mon Wed Fri

Contribution activity

November 2020

Created 2 repositories

Created a pull request in rasbt/python-machine-learning-book-3rd-edition that received 2 comments

Fix tf version dimension issue

Fixes #139 @vmirly can you double check that this looks good?

+31 −11 2 comments
Reviewed 2 pull requests in 2 repositories
rasbt/watermark 1 pull request
Benjamin-Lee/deep-rules 1 pull request

Created an issue in rasbt/mlxtend that received 6 comments

Reset Keras models in bias_variance_decomp after each bootstrap round

Following up on #725, I think that the model needs to be reset after each bootstrap round. Consider the following: from mlxtend.evaluate import bia…

Opened 1 other issue in 1 repository
3 contributions in private repositories Nov 22 – Nov 25

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