rasbt

Sebastian Raschka's repositories

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

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

Language:Jupyter NotebookMIT7109 375 81

deep-learning-book

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

Language:Jupyter NotebookNOASSERTION2781 208 8

matplotlib-gallery

Examples of matplotlib codes and plots

Language:Jupyter NotebookGPL-3.01174 55 2

stat453-deep-learning-ss20

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

Language:Jupyter NotebookMIT553 36 2

stat479-deep-learning-ss19

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

Language:Jupyter Notebook511 350

stat479-machine-learning-fs18

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

Language:Jupyter Notebook485 49 2

msu-datascience-ml-tutorial-2018

Machine learning with Python tutorial at MSU Data Science 2018

Language:Jupyter NotebookMIT107 13 1

markdown-toclify

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

Language:PythonGPL-3.092 6 13

smilite

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

Language:PythonGPL-3.076 7 5

DeepLearning-Gdansk2019-tutorial

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

Language:Jupyter NotebookMIT69 90

interpretable-ml-article

Code examples for my Interpretable Machine Learning Blog Series

Language:Jupyter NotebookMIT55 60

mputil

Utility functions for Python's multiprocessing standard library module

Language:PythonMIT36 4 1

pybibtex

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

Language:PythonMIT35 30

mytorch

Collection of PyTorch-related utility functions

Language:PythonMIT28 50

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

Language:CApache-2.026 5 4

R-notes

Various R lang related material for teaching.

Language:PythonMIT22 30

screenlamp

screenlamp is a Python toolkit for hypothesis-driven virtual screening

Language:PythonApache-2.022 4 1

BondPack

A collection of PyMOL plugins to visualize atomic bonds.

Language:PythonGPL-3.021 4 1

uw-madison-datacience-club-talk-oct2019

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

Language:Jupyter NotebookMIT20 40

PyMLSlides

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

Language:TeX17 40

HbindViz

Tools for generating hydrogen-bond interaction visualizations from Hbind

Language:PythonApache-2.010 30

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

Language:PythonApache-2.08 30