Build software better, together

ShangtongZhang / DeepRL

Modularized Implementation of Deep RL Algorithms in PyTorch

deep-reinforcement-learning rainbow pytorch dqn ddpg double-dqn dueling-network-architecture quantile-regression option-critic-architecture deeprl categorical-dqn ppo a2c prioritized-experience-replay option-critic td3

Updated Apr 16, 2024
Python

qfettes / DeepRL-Tutorials

Star

Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch

Updated May 19, 2021
Jupyter Notebook

henrikbostrom / crepes

Star

Python package for conformal prediction

python machine-learning scikit-learn sklearn jupyter-notebook regression confidence-intervals uncertainty-quantification quantile-regression conformal-prediction prediction-intervals cumulative-distribution-function prediction-sets conformal-regressors conformal-predictive-systems conformal-classifiers conformal-test-martingales

Updated Jul 8, 2026
Python

yromano / cqr

Star

Conformalized Quantile Regression

deep-learning random-forest prediction pytorch fairness quantile-regression conformal-prediction random-forest-regression prediction-intervals algorithmic-fairness conformal-methods

Updated Feb 2, 2026
Jupyter Notebook

cyoon1729 / RLcycle

Star

A library for ready-made reinforcement learning agents and reusable components for neat prototyping

reinforcement-learning pytorch hydra dqn a3c ddpg sac quantile-regression a2c rainbow-dqn

Updated Feb 13, 2024
Python

zillow / quantile-forest

Star

Quantile Regression Forests compatible with scikit-learn.

python machine-learning random-forest uncertainty-estimation quantile-regression scikit-learn-api prediction-intervals quantile-regression-forests

Updated Sep 14, 2026
Python

eliahuhorwitz / Conffusion

Star

Official Implementation for the "Conffusion: Confidence Intervals for Diffusion Models" paper.

computer-vision deep-learning pytorch generative-model image-generation uncertainty-quantification super-resolution image-to-image uncertainty-estimation diffusion inpainting quantile-regression conformal-prediction prediction-intervals diffusion-models

Updated Nov 27, 2022
Python

superlinear-ai / conformal-tights

Star

👖 Conformal Tights adds conformal prediction of coherent quantiles and intervals to any scikit-learn regressor or Darts forecaster

python machine-learning scikit-learn forecasting quantile-regression time-series-forecasting conformal-prediction prediction-intervals

Updated May 1, 2026
Python

FilippoMB / Ensemble-Conformalized-Quantile-Regression

Star

Valid and adaptive prediction intervals for probabilistic time series forecasting.

random-forest recurrent-neural-networks uncertainty-quantification frequentistic-confidence-intervals quantile-regression time-series-prediction frequentist-statistics time-series-forecasting ensemble-machine-learning conformal-prediction prediction-intervals probabilistic-forecasting

Updated Mar 15, 2025
Jupyter Notebook

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 implementation of SVMs whose key features are: fully integrated hyper-parameter selection, extreme speed on both small and large data sets, full flexi…

python c-plus-plus machine-learning r apache-spark matlab svm ml regression octave classification rstats r-package quantile-regression expectile-regression

Updated Feb 20, 2020
C++

aangelopoulos / im2im-uq

Star

Image-to-image regression with uncertainty quantification in PyTorch. Take any dataset and train a model to regress images to images with rigorous, distribution-free uncertainty quantification.

machine-learning computational-biology pytorch uncertainty mri unet microscopy uncertainty-quantification uncertainty-estimation biomedical-image-processing computational-imaging biomedical-data-science quantile-regression image-to-image-translation

Updated Feb 23, 2023
Python

saattrupdan / doubt

Star

Bringing back uncertainty to machine learning.

bootstrap machine-learning uncertainty confidence-intervals quantile-regression prediction-intervals quantile-regression-forests

Updated Jun 10, 2024
Python

wwiecek / baggr

Star

R package for Bayesian meta-analysis models, using Stan

stan meta-analysis treatment-effects bayesian-statistics quantile-regression

Updated Jun 16, 2026
R

RektPunk / MQBoost

Star

[Mach. Learn. 2026] Official implementation of "Monotone Composite Quantile Regression via Second-Order Gradient Boosting Framework"

xgboost lightgbm quantile-estimation gradient-boosting quantile-regression monotonicity-constraint

Updated Sep 20, 2026
Python

softmin / ReHLine

Star

[NeurIPS 2023] Efficient Solver for ERM with PLQ Loss and Linear Constraints

machine-learning optimization machine-learning-algorithms constrained-optimization quadratic-programming convex-optimization liblinear quantile-regression huber-loss-regression statistical-computing neurips empirical-risk-minimization fairness-constraint

Updated Dec 16, 2025

RichardFindlay / day-ahead-probablistic-forecasting-with-quantile-regression

Star

Using an integrated pinball-loss objective function in various recurrent based deep learning architectures made with keras to simultaneously produce probabilistic forecasts for UK wind, solar, demand and price forecasts.

deep-learning keras cnn lstm interactive-visualizations renewable-energy d3-visualization encoder-decoder quantile-regression pinball-loss