quantile-regression topic
DeepRL-Tutorials
Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch
RLcycle
A library for ready-made reinforcement learning agents and reusable components for neat prototyping
DeepRL
Modularized Implementation of Deep RL Algorithms in PyTorch
cqr
Conformalized Quantile Regression
liquidSVM
Support vector machines (SVMs) and related kernel-based learning algorithms are a well-known class of machine learning algorithms, for non-parametric classification and regression. liquidSVM is an imp...
doubt
Bringing back uncertainty to machine learning.
pydata-london-2018
Slides and notebooks for my tutorial at PyData London 2018
quantile-forest
Quantile Regression Forests compatible with scikit-learn.
RobustModels.jl
A Julia package for robust regressions using M-estimators and quantile regressions