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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

51

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

6

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

6

keras. Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on Theano or TensorFlow.

4

marble. Machine Assisted Boundary Layer Emulation, a moist turbulence parameterization in Sympl

3

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

1

CliMT. Climate modelling and diagnostics toolkit

1

netcdftime. Time-handling functionality from netcdf4-python.

1