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Modularized Implementation of Deep RL Algorithms in PyTorch
Created
2017-04-20
480 commits to master branch, last one 7 months ago
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
Python package for conformal prediction
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
196 commits to main branch, last one 2 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
Conformalized Quantile Regression
Created
2019-04-12
201 commits to master branch, last one 2 years ago
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
Valid and adaptive prediction intervals for probabilistic time series forecasting
Created
2022-02-11
26 commits to main branch, last one 2 years 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
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