Alternatives and similar repositories for BDA:

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

• a-norcliffe / Composite-Feature-Selection
  Official Code for the paper: "Composite Feature Selection using Deep Ensembles"
  ☆22Updated 2 years ago
• cambridge-mlg / CLUE
  Code for the paper "Getting a CLUE: A Method for Explaining Uncertainty Estimates"
  ☆35Updated 11 months ago
• Daftstone / CIMI
  ☆27Updated last year
• zifanzhu / DeepLINK
  Deep Large-Scale Inference UsingKnockoffs
  ☆11Updated 3 years ago
• nik-dim / pamal
  Official repository of "Pareto Manifold Learning: Tackling multiple tasks via ensembles of single-task models" [ICML 2023]
  ☆16Updated 2 months ago
• dylan-slack / Modeling-Uncertainty-Local-Explainability
  Local explanations with uncertainty 💐!
  ☆39Updated last year
• vis-opt-group / BLO
  Bi-level Optimization for Advanced Deep Learning
  ☆44Updated 3 years ago
• mertyg / beyond-confidence-atypicality
  Repository for the NeurIPS 2023 paper "Beyond Confidence: Reliable Models Should Also Consider Atypicality"
  ☆12Updated 11 months ago
• tobias-freidling / hsic-lasso-psi
  Post-selection inference based on truncated Gaussians for the HSIC-Lasso feature selection procedure
  ☆10Updated 3 years ago
• LFhase / PAIR
  [ICLR 2023, ICLR DG oral] PAIR, the optimizer and model selection criteria for OOD Generalization
  ☆52Updated 11 months ago
• ondrejbohdal / evograd
  Official PyTorch implementation of "EvoGrad: Efficient Gradient-Based Meta-Learning and Hyperparameter Optimization"
  ☆21Updated 3 years ago
• wenig / spl
  ☆19Updated 5 years ago
• RyanJJP / CHARMS
  The code repository for ICML24 paper "Tabular Insights, Visual Impacts: Transferring Expertise from Tables to Images"
  ☆13Updated 2 weeks ago
• sungyubkim / MCDO
  A pytorch implementation of MCDO(Monte-Carlo Dropout methods)
  ☆56Updated 6 years ago
• inouye-lab / ShapleyExplanationNetworks
  Implementation of the paper "Shapley Explanation Networks"
  ☆88Updated 4 years ago
• GT-RIPL / Geometric-Sensitivity-Decomposition
  ☆18Updated 3 years ago
• zzzx1224 / EBTSA-ICLR2023
  ☆10Updated last month
• ykwon0407 / wdro_local_perturbation
  Principled learning method for Wasserstein distributionally robust optimization with local perturbations (ICML 2020)
  ☆21Updated 2 years ago
• naiqili / DDPM
  This repository is the implementation of Deep Dirichlet Process Mixture Models (UAI 2022)
  ☆13Updated 2 years ago
• mohsengh / SCFS
  Unsupervised Feature Selection based on Adaptive Similarity Learning and Subspace Clustering
  ☆14Updated 3 years ago
• TUM-DAML / dbu-robustness
  Evaluating Robustness of Predictive Uncertainty Estimation: Are Dirichlet-based Models Reliable ? (ICML 2021)
  ☆28Updated 2 years ago
• xinyuewangg / DGCMM
  ☆14Updated 3 years ago
• amiratag / DistributionalShapley
  Distributional Shapley: A Distributional Framework for Data Valuation
  ☆30Updated 10 months ago
• ahmedmalaa / discriminative-jackknife
  Codebase for "Discriminative Jackknife: Quantifying Uncertainty in Deep Learning via Higher-Order Influence Functions", ICML 2020.
  ☆8Updated 4 years ago
• zxj32 / uncertainty-GNN
  Uncertainty Aware Semi-Supervised Learning on Graph Data
  ☆40Updated 3 years ago
• BorisMuzellec / MissingDataOT
  A Pytorch implementation of missing data imputation using optimal transport.
  ☆96Updated 3 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…
  ☆13Updated 2 years ago
• xjtushujun / Meta-SPL
  Pytorch implementation for Meta-SPL (self-paced learning).
  ☆17Updated 4 years ago
• callous-youth / IAPTT-GM
  Code Repository for NeurIPS 2021 accepted paper, named "Torwards Gradient-based Bilevel Optimization with non-convex Followers and Beyond…
  ☆10Updated 2 years ago
• maksym33 / FeatureImportanceDL
  ☆41Updated 2 years ago