👖 Conformal Tights adds conformal prediction of coherent quantiles and intervals to any scikit-learn regressor or Darts forecaster
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Updated
Jul 1, 2024 - Python
👖 Conformal Tights adds conformal prediction of coherent quantiles and intervals to any scikit-learn regressor or Darts forecaster
Conformal classifiers, regressors and predictive systems
Code and experiments related to the paper: 'Enhancing reliability in prediction intervals using point forecasters: Heteroscedastic Quantile Regression and Width-Adaptive Conformal Inference'
Quantile Regression Forests compatible with scikit-learn.
Bringing back uncertainty to machine learning.
Modularized Implementation of Deep RL Algorithms in PyTorch
A library for ready-made reinforcement learning agents and reusable components for neat prototyping
Our implementation of the paper "A Multi-Horizon Quantile Recurrent Forecaster"
This repository features an app that uses LightGBM machine learning to instantly evaluate real estate properties in Florianópolis, Brazil based on location, size, and other features, as well as proximity to risk areas, transportation, hospitals, markets, and green spaces. It also includes code and datasets for reproducing the analysis.
regression algorithm implementaion from scratch with python (least-squares, regularized LS, L1-regularized LS, robust regression)
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.
Official Implementation for the "Conffusion: Confidence Intervals for Diffusion Models" paper.
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.
Conformal Histogram Regression: efficient conformity scores for non-parametric regression problems
The fastest and most accurate methods for quantile regression, now in Python.
PyTorch - Implicit Quantile Networks - Quantile Regression - C51
VAE + Quantile Networks for MNIST
Qauntile autoregressive neural network for time series anamoly detection.
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