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2015-cs171-homework

Homework submissions for Harvard's CS171: Visualization

2019-07-30-gfdl-basics-of-machine-learning

2dfilter

amo-spatial-pattern-nao

Supplementary material for 'Influence of the Atlantic Multidecadal Oscillation on the spatial pattern of the North Atlantic Oscillation'

an-introduction-to-statistical-learning

This repository contains the exercises and its solution contained in the book "An Introduction to Statistical Learning" in python.

annotated_research_papers

This repo contains annotated research papers that I found really good and useful

awesome-electron

Useful resources for creating apps with Electron

awesome-time-series

list of papers, code, and other resources

build_config_nemo

Fortran tools to create a regional configuration (domain and input files) of NEMO

busecke_abernathey_2019_sciadv

This repository contains the analysis code used in Busecke and Abernathey 2018, Science Advances

bwes

climate-analysis

Code used for the analysis and visualisation of climate data during my PhD

climate-learn

Machine learning, statistics, and data mining for atmospheric and oceanic sciences

climate-trend-var

climatelaboratorybook

JupyterBook source for The Climate Laboratory

climatemodeling_courseware

A collection of interactive lecture notes and assignments in Jupyter notebook format.

climateoftheocean

NEW: https://iow-lectures.pages.io-warnemuende.de/climateoftheearth/ Climate of the Ocean In this class you will get an introduction to fundamental processes of the climate system.

computefest2018-sklearn

https://github.com/Harvard-IACS/computefest2018-sklearn

containerhackathon

contrack

Contour Tracking of circulation anomalies (atmospheric blocking, cyclones and anticyclones) in weather and climate data

contrackmakeover

cs109-dl-videos

Shell script to scrape Harvard CS109 (Intro to Data Science) lecture videos

cs181-s16

Machine Learning at Harvard

cs205-spring2017-projects

Harvard CS205 Spring Term 2017 Project Repository

cs50

🎓 Harvard CS50 — 2018 solutions 👨‍🏫

data-analysis

🧠 Data Analysis ¯\_(ツ)_/¯ | Analyzing real data sets with Python 3.

databook_python

IPython notebooks with demo code intended as a companion to the book "Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control" by J. Nathan Kutz and Steven L. Brunton

deep-learning-papers-reading-roadmap

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

deep-learning-time-series

List of papers, code and experiments using deep learning for time series forecasting

deepeddy

Python code for "Applications of Deep Learning to Ocean Data Inference and Sub-Grid Parameterisation" (https://doi.org/10.1029/2018MS001472).