Sebastian Raschka (rasbt)

rasbt

User data from Github https://github.com/rasbt

Company:@Lightning-AI , University of Wisconsin-Madison

Location:US

Home Page:https://sebastianraschka.com

GitHub:@rasbt

Twitter:@rasbt


Organizations
BioPandas
conda-forge
iPRoBe-lab
psa-lab
Raschka-research-group

Sebastian Raschka's repositories

python-machine-learning-book-2nd-edition

The "Python Machine Learning (2nd edition)" book code repository and info resource

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deep-learning-book

Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"

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matplotlib-gallery

Examples of matplotlib codes and plots

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stat479-machine-learning-fs19

Course material for STAT 479: Machine Learning (FS 2019) taught by Sebastian Raschka at University Wisconsin-Madison

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stat453-deep-learning-ss20

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

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pyprind

PyPrind - Python Progress Indicator Utility

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stat479-deep-learning-ss19

Course material for STAT 479: Deep Learning (SS 2019) at University Wisconsin-Madison

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stat479-machine-learning-fs18

Course material for STAT 479: Machine Learning (FS 2018) at University Wisconsin-Madison

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msu-datascience-ml-tutorial-2018

Machine learning with Python tutorial at MSU Data Science 2018

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markdown-toclify

A Python command line tool that creates a Table of Contents for Markdown documents

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smilite

A Python module to retrieve and compare SMILE strings of chemical compounds from the free ZINC online database

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DeepLearning-Gdansk2019-tutorial

Ordinal Regression tutorial for the International Summer School on Deep Learning 2019

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interpretable-ml-article

Code examples for my Interpretable Machine Learning Blog Series

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mputil

Utility functions for Python's multiprocessing standard library module

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pybibtex

Utility functions for parsing BibTeX files and creating citation reference lists.

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mytorch

Collection of PyTorch-related utility functions

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Hbind

Calculates hydrogen-bond interaction tables for protein-small molecule complexes, based on protein PDB and protonated ligand MOL2 structure input. Raschka et al. (2018) J. Computer-Aided Molec. Design

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R-notes

Various R lang related material for teaching.

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screenlamp

screenlamp is a Python toolkit for hypothesis-driven virtual screening

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BondPack

A collection of PyMOL plugins to visualize atomic bonds.

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uw-madison-datacience-club-talk-oct2019

Slides and code for the talk at UW-Madison's Data Science Club, 10 Oct 2019

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PyMLSlides

Slides for my machine learning course based on Sebastian Raschka's Python Machine Learning book

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protein-recognition-index

Protein Recognition Index (PRI), measuring the similarity between H-bonding features in a given complex (predicted or designed) and the characteristic H-bond trends from crystallographic complexes

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pytorch.github.io

The website for PyTorch

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deep-review

A collaboratively written review paper on deep learning, genomics, and precision medicine

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deep-rules

Ten Simple Rules for Deep Learning in Biology

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openface

Face recognition with deep neural networks.

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coral-ordinal

Tensorflow Keras implementation of ordinal regression using consistent rank logits (CORAL) by Cao et al. (2019)

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mlxtend-feedstock

A conda-smithy repository for mlxtend.

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watermark-feedstock

A conda-smithy repository for watermark.

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