#Sensitivity-analysis
Showing 6 of 6 repositories tagged #sensitivity-analysis, ranked by stars
Sensitivity Analysis Library in Python. Contains Sobol, Morris, FAST, and other methods.
A Python-based toolbox of various methods in decision making, uncertainty quantification and statistical emulation: multi-fidelity, experimental design, Bayesian optimisation, Bayesian quadrature, etc.
Tensorflow tutorial for various Deep Neural Network visualization techniques
Difference-in-Differences causal inference in Python. Callaway-Sant'Anna, Synthetic DiD, Honest DiD, event studies. sklearn-like API, validated against R.
Quantify uncertainty and sensitivities in your computer models with an industry-grade Monte Carlo library.
A library for SEC data extraction, equity valuation, discovery of mispriced stocks