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deeplearning-models

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

delivery-modes-of-pregnancy

dentistry

Healthcare

digitalization-of-banking-sector

dsap

ecml-teaching-ml-2021

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

imbalanced-learn

Python module to perform under sampling and over sampling with various techniques.

interpretable-ml-article

Code examples for my Interpretable Machine Learning Blog Series

introtodeeplearning

Lab Materials for MIT 6.S191: Introduction to Deep Learning

machine-learning-book

Code Repository for Machine Learning with PyTorch and Scikit-Learn

markdown-toclify

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

mathematics-statistics-for-data-science

Mathematical & Statistical topics to perform statistical analysis and tests; Linear Regression, Probability Theory, Monte Carlo Simulation, Statistical Sampling, Bootstrapping, Dimensionality reduction techniques (PCA, FA, CCA), Imputation techniques, Statistical Tests (Kolmogorov Smirnov), Robust Estimators (FastMCD) and more in Python and R.

matplotlib-gallery

Examples of matplotlib codes and plots

metrics

Machine learning metrics for distributed, scalable PyTorch applications.

mkdocs

Project documentation with Markdown.

ml-foundations

Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science

ml-youtube-courses

A repository to index and organize the latest machine learning courses found on YouTube.

mlearn

An Implementation of Mutli-layer Perceptron in C++

mlxtend

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

model-eval-article-supplementary

Supplementary material for the article "Model Evaluation, Model Selection, and Algorithm Selection in Machine Learning"

msu-datascience-ml-tutorial-2018

Machine learning with Python tutorial at MSU Data Science 2018

musicmood

A machine learning approach to classify songs by mood.

numpy

The fundamental package for scientific computing with Python.

numpy-intro-blogarticle-2020

Jupyter Notebook for the "Scientific Computing in Python: Introduction to NumPy and Matplotlib" blog article

one-python-benchmark-per-day

An ongoing fun challenge where I'll try to post one Python benchmark per day.

openface

Face recognition with deep neural networks.

pattern_classification

A collection of tutorials and examples for solving and understanding machine learning and pattern classification tasks

predicting-activity-by-machine-learning

Activity From Virtual Screening Code Repository

pydata-annarbor2017-dl-tutorial

Code snippets for "Introduction to Deep Learning with TensorFlow" at PyData Ann Arbor Aug 2017