Alternatives and similar repositories for senn

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

• oscarkey / explanations-by-minimizing-uncertainty
  Code for "Generating Interpretable Counterfactual Explanations By Implicit Minimisation of Epistemic and Aleatoric Uncertainties"
  ☆19Updated 4 years ago
• ecreager / eiil
  Code for Environment Inference for Invariant Learning (ICML 2021 Paper)
  ☆51Updated 4 years ago
• inouye-lab / ShapleyExplanationNetworks
  Implementation of the paper "Shapley Explanation Networks"
  ☆89Updated 4 years ago
• yuji-roh / fairbatch
  FairBatch: Batch Selection for Model Fairness (ICLR 2021)
  ☆20Updated 2 years ago
• weitianxin / awesome-distribution-shift
  A curated list of papers and resources about the distribution shift in machine learning.
  ☆123Updated 2 years ago
• m-Just / OoD-Bench
  ☆44Updated last month
• huaxiuyao / MLTI
  MLTI for ICLR 2022
  ☆30Updated 3 years ago
• arobey1 / mbdg
  ☆36Updated 4 years ago
• microsoft / robustdg
  Toolkit for building machine learning models that generalize to unseen domains and are robust to privacy and other attacks.
  ☆175Updated 2 years ago
• mlfoundations / tableshift
  A benchmark for distribution shift in tabular data
  ☆57Updated last year
• xwshen51 / DEAR
  Disentangled gEnerative cAusal Representation (DEAR)
  ☆64Updated 3 years ago
• jfc43 / informative-outlier-mining
  We propose a theoretically motivated method, Adversarial Training with informative Outlier Mining (ATOM), which improves the robustness o…
  ☆57Updated 3 years ago
• chihkuanyeh / saliency_evaluation
  Python implementation for evaluating explanations presented in "On the (In)fidelity and Sensitivity for Explanations" in NeurIPS 2019 for…
  ☆25Updated 3 years ago
• charan223 / FairDeepLearning
  ☆37Updated 2 years ago
• siplab-gt / generative-causal-explanations
  Code for "Generative causal explanations of black-box classifiers"
  ☆35Updated 4 years ago
• uiuctml / ISR
  Invariant-feature Subspace Recovery (ISR)
  ☆23Updated 3 years ago
• ynysjtu / ood_bench
  ☆49Updated 3 years ago
• ahujak / IB-IRM
  ☆31Updated 4 years ago
• AmanDaVinci / SENN
  Self-Explaining Neural Networks
  ☆43Updated 5 years ago
• dmelis / SENN
  Self-Explaining Neural Networks
  ☆13Updated 2 years ago
• anniesch / jtt
  Code for "Just Train Twice: Improving Group Robustness without Training Group Information"
  ☆72Updated last year
• chihhuiho / CLAE
  Implementation of Contrastive Learning with Adversarial Examples
  ☆29Updated 4 years ago
• capybaralet / REx_code_release
  ☆63Updated 5 years ago
• dylan-slack / Modeling-Uncertainty-Local-Explainability
  Local explanations with uncertainty 💐!
  ☆41Updated 2 years ago
• zhang64-llnl / Mix-n-Match-Calibration
  ☆38Updated 5 years ago
• TongtongFANG / DIW
  Code for the paper "Rethinking Importance Weighting for Deep Learning under Distribution Shift".
  ☆30Updated 4 years ago
• huaxiuyao / Wild-Time
  Benchmark for Natural Temporal Distribution Shift (NeurIPS 2022)
  ☆68Updated 2 years ago
• linyongver / Bayesian-Invariant-Risk-Minmization
  This is the code for the paper Bayesian Invariant Risk Minmization of CVPR 2022.
  ☆46Updated 2 years ago
• natalialmg / MMPF
  Implementation of Minimax Pareto Fairness framework
  ☆22Updated 5 years ago
• IBM / concept_transformer
  Code for the ICLR 2022 paper "Attention-based interpretability with Concept Transformers"
  ☆42Updated 2 months ago