Alternatives and similar repositories for engression:

Users that are interested in engression are comparing it to the libraries listed below

• NSAPH-Projects / space
  SpaCE, the Spatial Confounding Environment, loads benchmark datasets for causal inference methods tackling spatial confounding
  ☆17Updated 6 months ago
• frazane / scoringrules
  Lightweight library for probabilistic forecast evaluation and optimization.
  ☆52Updated last week
• jejjohnson / gp_model_zoo
  Literature and light wrappers for gaussian process models.
  ☆45Updated 3 years ago
• wesselb / neuralprocesses
  A framework for composing Neural Processes in Python
  ☆84Updated 4 months ago
• Ushnish-Sengupta / Model-Ensembler
  Code and pretrained models accompanying the paper "Ensembling geophysical models using Bayesian Neural Networks"
  ☆11Updated 2 years ago
• rothenhaeusler / anchor-regression
  ☆11Updated 5 years ago
• jejjohnson / oceanbench
  OceanBench - SSH edition
  ☆20Updated last year
• FK83 / scoringRules
  scoring rules to evaluate probabilistic forecasts
  ☆60Updated 7 months ago
• evwalz / easyuq
  ☆11Updated last year
• WentaoZhan1998 / geospaNN
  ☆10Updated this week
• WenxinZhou / conquer
  Convolution Smoothed Quantile Regression
  ☆17Updated 6 months ago
• runesen / spatio_temporal_causality
  Towards causal inference for spatio-temporal data: conflict and forest loss in Colombia
  ☆21Updated 3 years ago
• Monoxido45 / clover
  Conformal Locally Valid interval-Estimates for Regression
  ☆13Updated 6 months ago
• juangamella / causal-chamber
  Public dataset repository for the Causal Chamber Project
  ☆33Updated last month
• RolnickLab / climart
  A benchmark dataset for Machine Learning emulation of atmospheric radiative transfer in weather and climate models (NeurIPS 2021 Datasets…
  ☆40Updated 2 years ago
• msesia / conditional-conformal-pvalues
  Conditional calibration of conformal p-values for outlier detection.
  ☆34Updated 2 years ago
• vr308 / Generalised-Gaussian-Processes
  Fully Bayesian Inference in GPs - Gaussian and Generic Likelihoods
  ☆22Updated last year
• paulaharder / constrained-downscaling
  A project on how to incorporate physics constraints into deep learning architectures for downscaling or other super--resolution tasks.
  ☆13Updated last year
• IdanAchituve / GDKL
  Code that accompanies the paper Guided Deep Kernel Learning
  ☆10Updated last year
• Shai128 / mqr
  Multiple-Output Quantile Regression
  ☆14Updated 3 years ago
• tobifinn / ensemble_transformer
  Official PyTorch implementation of "Self-Attentive Ensemble Transformer: Representing Ensemble Interactions in Neural Networks for Earth …
  ☆13Updated 2 years ago
• edfong / conformal_bayes
  Conformal Bayes with importance sampling
  ☆21Updated 3 years ago
• EUPP-benchmark / climetlab-eumetnet-postprocessing-benchmark
  A plugin for climetlab to retrieve the Eumetnet postprocessing benchmark dataset.
  ☆31Updated 6 months ago
• amzn / orthogonal-additive-gaussian-processes
  Light-weighted code for Orthogonal Additive Gaussian Processes
  ☆42Updated 8 months ago
• p-hss / consistency-climate-downscaling
  ☆19Updated last month
• microsoft / subseasonal_data
  Data access package for the SubseasonalClimateUSA dataset
  ☆30Updated 5 months ago
• konstantinklemmer / spate-gan
  SPATE-GAN: Improved Generative Modeling of Dynamic Spatio-Temporal Patterns with an Autoregressive Embedding Loss
  ☆25Updated 2 years ago
• MArpogaus / bernstein_flow
  A normalizing flow using Bernstein polynomials for conditional density estimation.
  ☆19Updated 6 months ago
• alan-turing-institute / mogp-emulator
  Package for fitting Gaussian Process Emulators to multiple output computer simulation results.
  ☆49Updated last year
• elizavetasemenova / prob-epi
  Course materials of "Bayesian Modelling and Probabilistic Programming with Numpyro, and Deep Generative Surrogates for Epidemiology"
  ☆61Updated last month