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2018-cs109a

Repository for CS109A Fall 2018

2019-cs109a

https://harvard-iacs.github.io/2019-CS109A/

2019-cs109b

2020-ac295

2020-cs109b

a-2017

Public Repository for cs109a, 2017 edition

asteca

Code for the ASteCA package.

asteca-docs

Documentation for the ASteCA package.

astropy

Repository for the Astropy core package

astropy-tutorials

Tutorials for the Astropy Project

astropysics

Astrophysics utilities for python

astrotools

cmdphotsysts

Download and format the list of photometric systems present in the latest CMD service version

cnn

Convolutional Neural Network implemenation from scratch in python numpy

cs231n.github.io

Public facing notes page

daophot_tools

deep-learning-coursera

Deep Learning Specialization by Andrew Ng on Coursera.

deep-learning-specialization-coursera

Deep Learning Specialization courses by Andrew Ng, deeplearning.ai

ezpadova-2

A python package to download PADOVA isochrones. Original code: https://github.com/mfouesneau/ezpadova

introstatlearn

Exercises from 'Introduction to Statistical Learning with Applications in R' written in Python.

introstatlearning

Solutions to exercises from the book "Introduction to Statistical Learning"

isl-python

Solutions to labs and excercises from An Introduction to Statistical Learning, as Jupyter Notebooks.

islp

Solutions to 'An Introduction to Statistical Learning with Applications in R'... in Python!

islp-1

Python codes for the book, An Introduction to Statistical Learning with Applications in R (ISLR)

islr

Student Solutions to An Introduction to Statistical Learning with Applications in R

islr-1

My Python code for labs and exercises in the book "An Introduction to Statistical Learning with Applications in R".

islr-python

islr-python-1

An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code

math4432_tutorial

MATH4432 Tutorial

new_release_steps

Step by step instructions to publish a new ASteCA release.