mcgibbon
Researcher in machine learning and developer of Python atmospheric weather/climate models.
Seattle, WA
Pinned Repositories
atmos
An atmospheric sciences library for Python
climt
The official home of climt, a Python based climate modelling toolkit.
CliMT
Climate modelling and diagnostics toolkit
keras
Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on Theano or TensorFlow.
marble
Machine Assisted Boundary Layer Emulation, a moist turbulence parameterization in Sympl
netcdftime
Time-handling functionality from netcdf4-python.
python-examples
Sample Python code for atmospheric science, including plotting and analysis.
rrtm
Python interface to Rapid Radiative Transfer Model (RRTM)
scikit-learn
scikit-learn: machine learning in Python
sympl
A toolkit for building planetary/Earth system models in Python
mcgibbon's Repositories
mcgibbon/sympl
A toolkit for building planetary/Earth system models in Python
mcgibbon/python-examples
Sample Python code for atmospheric science, including plotting and analysis.
mcgibbon/keras
Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on Theano or TensorFlow.
mcgibbon/marble
Machine Assisted Boundary Layer Emulation, a moist turbulence parameterization in Sympl
mcgibbon/rrtm
Python interface to Rapid Radiative Transfer Model (RRTM)
mcgibbon/CliMT
Climate modelling and diagnostics toolkit
mcgibbon/netcdftime
Time-handling functionality from netcdf4-python.
mcgibbon/scikit-learn
scikit-learn: machine learning in Python
mcgibbon/anom-py
An ndb-like object mapper for Google Cloud Datastore.
mcgibbon/chomp
mcgibbon/climt-future
mcgibbon/code-lessons
Well-documented code examples for less common situations.
mcgibbon/dapper
Data Analysis, Processing, and Presentation of Experimental Results
mcgibbon/evals
Evals is a framework for evaluating LLMs and LLM systems, and an open-source registry of benchmarks.
mcgibbon/evekit-marketdata
Controller to schedule workers populating EveKit marketdata
mcgibbon/governance
Governance Documents for Pangeo
mcgibbon/ipython-notebooks
mcgibbon/modulus
A PyTorch based deep-learning toolkit for developing DL models for physical systems
mcgibbon/pintarray
DataArrays with unit support from Pint
mcgibbon/pkg_resources
Abandoned extraction of pkg_resources. Official version found at /pypa/setuptools.
mcgibbon/pyccsm
Automatically exported from code.google.com/p/pyccsm
mcgibbon/pycles
A python based infrastructure for cloud large eddy simulation.
mcgibbon/pynio
PyNIO is a multi-format data I/O package with a NetCDF-style interface
mcgibbon/python
Official Python client library for kubernetes
mcgibbon/sedycore
Python implementation of a spectral element dynamical core for atmospheric models.
mcgibbon/serialbox
Data serialization library and tools for C/C++ and Fortran
mcgibbon/sherpa
Hyperparameter optimization that enables researchers to experiment, visualize, and scale quickly.
mcgibbon/sqlc
Generate type-safe code from SQL
mcgibbon/xarray
N-D labeled arrays and datasets in Python
mcgibbon/zarr-python
An implementation of chunked, compressed, N-dimensional arrays for Python.