Alternatives and similar repositories for DMGP

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

• zzzace2000 / GAMs
  Multiple Generalized Additive Models implemented in Python (EBM, XGB, Spline, FLAM). Code for our KDD 2021 paper "How Interpretable and T…
  ☆12Updated 4 years ago
• YoungseogChung / calibrated-quantile-uq
  Repository for Beyond Pinball Loss: Quantile Methods for Calibrated Uncertainty Quantification (NeurIPS 2024)
  ☆43Updated 9 months ago
• msesia / chr
  Conformal Histogram Regression: efficient conformity scores for non-parametric regression problems
  ☆22Updated 3 years ago
• seedatnabeel / TE-CDE
  Continuous-Time Modeling of Counterfactual Outcomes Using Neural Controlled Differential Equations (ICML 2022)
  ☆27Updated 3 years ago
• jjbrophy47 / tree_influence
  Influence Estimation for Gradient-Boosted Decision Trees
  ☆30Updated last year
• topipa / gp-varsel-kl-var
  ☆14Updated 6 years ago
• mrojascarulla / causal_transfer_learning
  ☆32Updated 7 years ago
• andruekonst / egbm-gam
  A straightforward implementation of EGBM-based Generalized Additive Model
  ☆13Updated 4 years ago
• LaurenceA / bayesfunc
  ☆15Updated 2 years ago
• a-lucic / focus
  ☆16Updated 3 years ago
• datasig-ac-uk / signature_applications
  Example applications of path signatures
  ☆40Updated 4 months ago
• JonathanCrabbe / Symbolic-Pursuit
  Github for the NIPS 2020 paper "Learning outside the black-box: at the pursuit of interpretable models"
  ☆15Updated 2 years ago
• belaalb / CEVAE-VampPrior
  CEVAE with VampPrior
  ☆11Updated 7 years ago
• dtak / ocbnn-public
  General purpose library for BNNs, and implementation of OC-BNNs in our 2020 NeurIPS paper.
  ☆38Updated 3 years ago
• 12wang3 / mllp
  The code of AAAI 2020 paper "Transparent Classification with Multilayer Logical Perceptrons and Random Binarization".
  ☆24Updated last year
• ZebinYang / exnn
  Enhanced Explainable Neural Network
  ☆10Updated 3 years ago
• kamilest / conformal-rnn
  Implementation for Stankevičiūtė et al. "Conformal time-series forecasting", NeurIPS 2021.
  ☆75Updated 9 months ago
• charmlab / recourse
  Code to reproduce our paper on probabilistic algorithmic recourse: https://arxiv.org/abs/2006.06831
  ☆36Updated 2 years ago
• ermongroup / BCD-Nets
  Code for `BCD Nets: Scalable Variational Approaches for Bayesian Causal Discovery`, Neurips 2021
  ☆26Updated 3 years ago
• sanatonek / time_series_explainability
  ☆62Updated 4 years ago
• Shen-Lab / Bayesian-L2O
  [ICLR 2022] "Bayesian Modeling and Uncertainty Quantification for Learning to Optimize: What, Why, and How" by Yuning You, Yue Cao, Tianl…
  ☆14Updated 3 years ago
• AmrMKayid / nam
  Neural Additive Models (Google Research)
  ☆71Updated 3 years ago
• vistalab-technion / vqr
  Vector Quantile Regression
  ☆19Updated 4 months ago
• mtsang / interaction_interpretability
  Feature Interaction Interpretability via Interaction Detection
  ☆34Updated 2 years ago
• jambo6 / online-neural-cdes
  Code for: "Neural Controlled Differential Equations for Online Prediction Tasks"
  ☆38Updated 2 years ago
• larslorch / stadion
  Causal Modeling with Stationary Diffusions, AISTATS 2024
  ☆19Updated 5 months ago
• kakaobrain / irm-empirical-study
  An Empirical Study of Invariant Risk Minimization
  ☆27Updated 5 years ago
• HerreraKrachTeichmann / NJODE
  code for "Neural Jump Ordinary Differential Equations"
  ☆30Updated 2 years ago
• secondmind-labs / bayesian_benchmarks
  A community repository for benchmarking Bayesian methods
  ☆11Updated 2 years ago
• ansonb / FeTA_TMLR
  This repository reproduces the results in the paper "How expressive are transformers in spectral domain for graphs?"(published in TMLR)
  ☆12Updated 3 years ago