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A C++ header-only library of statistical distribution functions.
PyTorch implementation of the state-of-the-art distributional reinforcement learning algorithm Fully Parameterized Quantile Function (FQF) and Extensions: N-step Bootstrapping, PER, Noisy Layer, Dueling Networks, and parallelization.
R package providing functions for computing Expected shortfall (ES) and Value at risk (VaR)
A library for the calculation of tail risk measures
The code for Quantile-Quantile Embedding (QQE).
Implementation of"Learning Quantile Functions for Temporal Point Processes with Recurrent Neural Splines" (@ AISTATS 2022)
Multivariate quantile function from discrete approximation of continuous probability distribution function
Peptide structure prediction by global optimization of a potential energy function
One-dimensional quantile function from discrete approximation of continuous probability distribution function
MultiVariate Empirical Quantile Function (grid-based)
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