lalagial

lalagial's Stars

• gastruc/OmniSat

  Language:Python653

• microsoft/ClimaX

  Foundation model for weather & climate

  Language:Python62686

• ianjamesbarnett/GPSimputation

  R package and code for imputation of feature calculation of GPS data.

  Language:R6

• SirWisher/Pan-European-Tree-Database-Creation

  Language:Python1

• seedatnabeel/SSCP

  SSCP: Improving Adaptive Conformal Prediction Using Self-supervised Learning (AISTATS 2023)

  Language:Jupyter Notebook162

• awslabs/fortuna

  A Library for Uncertainty Quantification.

  Language:Python89246

• scikit-learn-contrib/MAPIE

  A scikit-learn-compatible module to estimate prediction intervals and control risks based on conformal predictions.

  Language:Jupyter Notebook1.3k112

• aangelopoulos/conformal_classification

  Wrapper for a PyTorch classifier which allows it to output prediction sets. The sets are theoretically guaranteed to contain the true class with high probability (via conformal prediction).

  Language:Jupyter Notebook23535

• langnico/GEDI-BDL

  This repository provides the code used to create the results presented in "Global canopy height regression and uncertainty estimation from GEDI LIDAR waveforms with deep ensembles".

  Language:Python6127

• aangelopoulos/im2im-uq

  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.

  Language:Python5410

• p-lambda/wilds

  A machine learning benchmark of in-the-wild distribution shifts, with data loaders, evaluators, and default models.

  Language:Python555129

• probml/pmtk3

  Probabilistic Modeling Toolkit for Matlab/Octave.

  Language:HTML1.6k795