Heather Mattie's repositories
BST261Spring2018
BST 261: Data Science II
BST-261-Spring-2020
Data Science II: Deep Learning
BST209-2021
HSPH Summer Course
2017
Course material for BST 260 in Fall 2017
2019-CS109A
https://harvard-iacs.github.io/2019-CS109A/
BMI-703
Notebooks for BMI 703 Guest Lecture on Deep Learning
BST-270-Fall-2017
BST 270: Reproducible Data Science
bst209
Course materials for BST209
client
🔥 A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.
datascience-box
Data Science Course in a Box
datasciencelabs.github.io-2017
This is the GitHub website for BST 260 (HSPH)
deep-learning-with-python-notebooks
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
deep-visualization-toolbox
DeepVis Toolbox
dsbook
Repository for data science book
ENAR2021-AlgorithmicFairness
This repository houses the materials present in the the Algorithmic Fairness in Practice tutorial at the 2021 ENAR conference.
recitations
Here we will post recitation materials.
shiny-sdss18
Materials for the "Shiny Essentials" workshop at SDSS 2018
Short_Course_02
Machine Learning 1 and 2
specific_install
rubygems plugin to allow you to install an "edge" gem straight from its github repository