11 results found Sort:

ShangtongZhang
DeepRL ShangtongZhang
673
3.1k
mit
89
Modularized Implementation of Deep RL Algorithms in PyTorch
a2c dqn ppo td3 ddpg deeprl pytorch rainbow double-dqn option-critic categorical-dqn quantile-regression option-critic-architecture deep-reinforcement-learning dueling-network-architecture prioritized-experience-replay
Created 2017-04-20
480 commits to master branch, last one 2 months ago
qfettes
DeepRL-Tutorials qfettes
326
1.0k
unknown
30
Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch
a2c gae ppo python3 pytorch rainbow double-dqn dueling-dqn actor-critic deep-q-network noisy-networks categorical-dqn deeprl-tutorials multi-step-learning quantile-regression advantage-actor-critic reinforcement-learning deep-recurrent-q-network deep-reinforcement-learning prioritized-experience-replay
Created 2018-05-31
88 commits to master branch, last one 5 years ago
henrikbostrom
crepes henrikbostrom
28
358
bsd-3-clause
4
Conformal classifiers, regressors and predictive systems
python sklearn regression scikit-learn prediction-sets jupyter-notebook machine-learning quantile-regression confidence-intervals conformal-prediction conformal-regressors prediction-intervals conformal-classifiers uncertainty-quantification conformal-predictive-systems cumulative-distribution-function
Created 2021-11-17
186 commits to main branch, last one a day ago
cyoon1729
RLcycle cyoon1729
63
295
mit
13
A library for ready-made reinforcement learning agents and reusable components for neat prototyping
a2c a3c dqn sac ddpg hydra pytorch rainbow-dqn quantile-regression reinforcement-learning
Created 2018-12-30
392 commits to master branch, last one 4 months ago
yromano
cqr yromano
44
230
other
8
Conformalized Quantile Regression
pytorch fairness prediction deep-learning random-forest conformal-methods quantile-regression algorithmic-fairness conformal-prediction prediction-intervals random-forest-regression
Created 2019-04-12
201 commits to master branch, last one 2 years ago
zillow
quantile-forest zillow
19
167
apache-2.0
11
Quantile Regression Forests compatible with scikit-learn.
python random-forest machine-learning scikit-learn-api quantile-regression prediction-intervals uncertainty-estimation quantile-regression-forests
Created 2022-03-23
231 commits to main branch, last one 9 days ago
eliahuhorwitz
Conffusion eliahuhorwitz
5
132
unknown
5
Official Implementation for the "Conffusion: Confidence Intervals for Diffusion Models" paper.
pytorch diffusion inpainting deep-learning image-to-image computer-vision diffusion-models generative-model image-generation super-resolution quantile-regression conformal-prediction prediction-intervals uncertainty-estimation uncertainty-quantification
Created 2022-11-17
11 commits to main branch, last one about a year ago
radix-ai
conformal-tights radix-ai
3
77
mit
3
👖 Conformal Tights adds conformal prediction of coherent quantiles and intervals to any scikit-learn regressor or Darts forecaster
python forecasting scikit-learn machine-learning quantile-regression conformal-prediction prediction-intervals time-series-forecasting
Created 2024-03-01
29 commits to main branch, last one 17 days ago
FilippoMB
Ensemble-Conformalized-Quantile-Regression FilippoMB
7
75
mit
2
Valid and adaptive prediction intervals for probabilistic time series forecasting
random-forest quantile-regression conformal-prediction prediction-intervals frequentist-statistics time-series-prediction time-series-forecasting ensemble-machine-learning probabilistic-forecasting recurrent-neural-networks uncertainty-quantification frequentistic-confidence-intervals
Created 2022-02-11
26 commits to main branch, last one about a year ago
saattrupdan
doubt saattrupdan
3
50
mit
3
Bringing back uncertainty to machine learning.
bootstrap uncertainty machine-learning quantile-regression confidence-intervals prediction-intervals quantile-regression-forests
Created 2020-03-29
437 commits to main branch, last one 19 days ago
aangelopoulos
im2im-uq aangelopoulos
9
47
mit
4
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.
mri unet pytorch microscopy uncertainty machine-learning quantile-regression computational-biology computational-imaging uncertainty-estimation biomedical-data-science image-to-image-translation uncertainty-quantification biomedical-image-processing
Created 2021-05-30
152 commits to main branch, last one about a year ago