parallelisation

MOCA is a Python package to perform efficient and parallelised uncertainty quantification for Life Cycle Assessment (LCA). It is built to work with the Brightway2 framework. Currently, MOCA includes a class for high-speed Monte Carlo Simulation. More methodologies for uncertainty quantification are planned to be implemented going forward.

A Python package for performing memory-intensive computations in parallel using chunks and checkpointing.

Parallel Hyperparameter Tuning