Modularized Implementation of Deep RL Algorithms in PyTorch
Contains high quality implementations of Deep Reinforcement Learning alg...
A library for ready-made reinforcement learning agents and reusable comp...
Conformalized Quantile Regression
Official Implementation for the "Conffusion: Confidence Intervals for Di...
Valid and adaptive prediction intervals for probabilistic time series fo...
Support vector machines (SVMs) and related kernel-based learning algorit...
Bringing back uncertainty to machine learning.
R package for Bayesian meta-analysis models, using Stan
Image-to-image regression with uncertainty quantification in PyTorch. Ta...
A Julia package for robust regressions using M-estimators and quantile r...