Alternatives and similar repositories for BDA:

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

• Daftstone / CIMI
  ☆26Updated last year
• ErdunGAO / FedDAG
  [TMLR23] FedDAG: Federated DAG Structure Learning
  ☆17Updated 2 years ago
• naiqili / DDPM
  This repository is the implementation of Deep Dirichlet Process Mixture Models (UAI 2022)
  ☆13Updated 2 years ago
• a-norcliffe / Composite-Feature-Selection
  Official Code for the paper: "Composite Feature Selection using Deep Ensembles"
  ☆22Updated 2 years ago
• nik-dim / pamal
  Official repository of "Pareto Manifold Learning: Tackling multiple tasks via ensembles of single-task models" [ICML 2023]
  ☆16Updated 3 months ago
• zifanzhu / DeepLINK
  Deep Large-Scale Inference UsingKnockoffs
  ☆11Updated 3 years ago
• xinyuewangg / DGCMM
  ☆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
• ermongroup / BCD-Nets
  Code for `BCD Nets: Scalable Variational Approaches for Bayesian Causal Discovery`, Neurips 2021
  ☆26Updated 3 years ago
• vis-opt-group / BLO
  Bi-level Optimization for Advanced Deep Learning
  ☆45Updated 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…
  ☆14Updated 2 years ago
• facebookresearch / CausalRepID
  Experiments to reproduce results in Interventional Causal Representation Learning.
  ☆24Updated 2 years ago
• BorisMuzellec / MissingDataOT
  A Pytorch implementation of missing data imputation using optimal transport.
  ☆98Updated 3 years ago
• LJSthu / Kernelized-HRM
  The code for our NeurIPS 2021 paper "Kernelized Heterogeneous Risk Minimization".
  ☆12Updated 3 years ago
• dylan-slack / Modeling-Uncertainty-Local-Explainability
  Local explanations with uncertainty 💐!
  ☆40Updated last year
• cambridge-mlg / CLUE
  Code for the paper "Getting a CLUE: A Method for Explaining Uncertainty Estimates"
  ☆35Updated last year
• ellenxtan / ifedtree
  ifedtree: tree-based federated learning for heterogeneous model harmonization (ICML 2022)
  ☆13Updated 2 years ago
• snowood1 / wenn
  Multidimensional Uncertainty-Aware Evidential Neural Networks ( AAAI2021)
  ☆16Updated 3 years ago
• VITA-Group / L2O-Minimax
  [ICLR 2021] "Learning a Minimax Optimizer: A Pilot Study" by Jiayi Shen*, Xiaohan Chen*, Howard Heaton*, Tianlong Chen, Jialin Liu, Wotao…
  ☆15Updated 3 years ago
• khainb / Mini-batch-OT
  A new mini-batch framework for optimal transport in deep generative models, deep domain adaptation, approximate Bayesian computation, col…
  ☆37Updated 2 years ago
• ajrcampbell / early-exit-ensembles
  Early exit ensembles
  ☆12Updated 3 years ago
• changwxx / CSOT-for-LNL
  Source code for the NeurIPS 2023 paper: "CSOT: Curriculum and Structure-Aware Optimal Transport for Learning with Noisy Labels"
  ☆18Updated last year
• ondrejbohdal / evograd
  Official PyTorch implementation of "EvoGrad: Efficient Gradient-Based Meta-Learning and Hyperparameter Optimization"
  ☆21Updated 3 years ago
• cianeastwood / qrm
  Quantile risk minimization
  ☆24Updated 8 months ago
• mertyg / beyond-confidence-atypicality
  Repository for the NeurIPS 2023 paper "Beyond Confidence: Reliable Models Should Also Consider Atypicality"
  ☆12Updated last year
• xwshen51 / DEAR
  Disentangled gEnerative cAusal Representation (DEAR)
  ☆60Updated 2 years ago
• zzzx1224 / EBTSA-ICLR2023
  ☆10Updated 2 months ago
• hmorioka / CCL
  Connectivity-contrastive learning (CCL)
  ☆10Updated 2 years ago
• patrickrchao / DiffusionBasedCausalModels
  ☆24Updated last week
• monk1337 / Awesome-Robust-Machine-Learning
  A curated list of Robust Machine Learning papers/articles and recent advancements.
  ☆29Updated 2 years ago