Toronto, ON

Jeremy McGibbon

Expert

@mcgibbon

Researcher in machine learning and developer of Python atmospheric weather/climate models.

sympl. A toolkit for building planetary/Earth system models in Python

python-examples. Sample Python code for atmospheric science, including plotting and analysis.

rrtm. Python interface to Rapid Radiative Transfer Model (RRTM)

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

scikit-learn. scikit-learn: machine learning in Python

CliMT. Climate modelling and diagnostics toolkit

netcdftime. Time-handling functionality from netcdf4-python.

views 8 projects