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Open-source Python calibration engine that uses neural networks as fast surrogates to calibrate stochastic volatility models (Heston, rough Heston, Bates, SABR, …) to implied volatility surfaces.
pip install calibration-nn
PyPI declares 5 unique dependency rules for this release. Environment markers are shown when supplied by the project.
calibration-nn publishes 1 wheel and 1 source archive for version 0.2.0. Wheel platform tags: any.
No version-specific Python classifiers are declared.
PyPI lists 1 release with files. The first dated release is ; 1 release falls within the 365 days preceding the latest dated release. The current release files were uploaded on .