12 results found Sort:

Modularized Implementation of Deep RL Algorithms in PyTorch
Created 2017-04-20
480 commits to master branch, last one 7 months ago
A library for ready-made reinforcement learning agents and reusable components for neat prototyping
Created 2018-12-30
392 commits to master branch, last one 9 months ago
49
254
other
8
Conformalized Quantile Regression
Created 2019-04-12
201 commits to master branch, last one 2 years ago
25
214
apache-2.0
11
Quantile Regression Forests compatible with scikit-learn.
Created 2022-03-23
406 commits to main branch, last one 6 days ago
Official Implementation for the "Conffusion: Confidence Intervals for Diffusion Models" paper.
Created 2022-11-17
11 commits to main branch, last one 2 years ago
👖 Conformal Tights adds conformal prediction of coherent quantiles and intervals to any scikit-learn regressor or Darts forecaster
Created 2024-03-01
31 commits to main branch, last one about a month ago
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.
Created 2021-05-30
152 commits to main branch, last one about a year ago
Bringing back uncertainty to machine learning.
Created 2020-03-29
437 commits to main branch, last one 5 months ago
4
26
unknown
2
Multiple quantiles estimation model maintaining non-crossing condition (or monotone quantile condition) using LightGBM and XGBoost
Created 2023-02-17
99 commits to main branch, last one 14 days ago