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13.4k followers · 35 following · 72

Highlights

  • Arctic Code Vault Contributor
  • Pro

Organizations

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

Pinned

  1. python-machine-learning-book-3rd-edition

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

    Jupyter Notebook 1.6k 683

  2. deeplearning-models

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

    Jupyter Notebook 13.6k 3.3k

  3. biopandas

    Working with molecular structures in pandas DataFrames

    Python 296 71

  4. mlxtend

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

    Python 3.2k 678

  5. Raschka-research-group/coral-cnn

    Rank Consistent Ordinal Regression for Neural Networks with Application to Age Estimation

    Python 159 28

  6. stat453-deep-learning-ss20

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

    Jupyter Notebook 460 122

578 contributions in the last year

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Contribution activity

November 2020

Created 17 commits in 5 repositories
Created 1 repository

Created a pull request in rasbt/mlxtend that received 2 comments

Fix integer bug in bias_variance_decomp

Description Fixes a bug in bias_variance_decomp where when the mse loss was used, downcasting to integers caused imprecise results for small numbers.

+20 −48 • 2 comments
Opened 4 other pull requests in 3 repositories

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…

6 comments

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