wspackman's Stars
drrobotk/PriceIndexCalc
Calculate Bilateral and Multilateral Price Index Methods in Python (with Pandas and PySpark)
Azure/AzureML-Containers
Docker containers for running training scripts on AzureML
ossu/computer-science
🎓 Path to a free self-taught education in Computer Science!
GoogleCloudPlatform/ml-design-patterns
Source code accompanying O'Reilly book: Machine Learning Design Patterns
scikit-learn-contrib/hiclass
A python library for hierarchical classification compatible with scikit-learn
rasbt/machine-learning-book
Code Repository for Machine Learning with PyTorch and Scikit-Learn
christophM/interpretable-ml-book
Book about interpretable machine learning
lopusz/awesome-interpretable-machine-learning
yenchenlin/awesome-adversarial-machine-learning
A curated list of awesome adversarial machine learning resources
Azure/azureml-examples
Official community-driven Azure Machine Learning examples, tested with GitHub Actions.
gitpod-io/gitpod
The developer platform for on-demand cloud development environments to create software faster and more securely.
cfchen-duke/ProtoPNet
This code package implements the prototypical part network (ProtoPNet) from the paper "This Looks Like That: Deep Learning for Interpretable Image Recognition" (to appear at NeurIPS 2019), by Chaofan Chen* (Duke University), Oscar Li* (Duke University), Chaofan Tao (Duke University), Alina Jade Barnett (Duke University), Jonathan Su (MIT Lincoln Laboratory), and Cynthia Rudin (Duke University) (* denotes equal contribution).
shap/shap
A game theoretic approach to explain the output of any machine learning model.
StatCan/datascience-cookiecutter
A Cookiecutter template for Data Science Projects in Python
globality-corp/sklearn-hierarchical-classification
AlexWarembourg/Medium
Repository for medium article
twalsh43/public-workshop-lixar-databricks
harshalsonioo1/EndToEndBlog
This repository consists of code snippets explained on my medium blog for End-to-End ML Pipelines.
bolgebrygg/Force-2020-Machine-Learning-competition
the results, code and the data for the Force 2020 Machine learning competition after the completion of the competition in October 2020.
seg/2016-ml-contest
Machine learning contest - October 2016 TLE