Alternatives and similar repositories for counterfactuals

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

• arobey1 / mbdg
  ☆36Updated 3 years ago
• PolinaKirichenko / deep_feature_reweighting
  ☆107Updated last year
• pratyushmaini / ssft
  [NeurIPS'22] Official Repository for Characterizing Datapoints via Second-Split Forgetting
  ☆15Updated last year
• facebookresearch / BalancingGroups
  Simple data balancing baselines for worst-group-accuracy benchmarks.
  ☆42Updated last year
• juho-lee / bnp
  Pytorch implementation of neural processes and variants
  ☆29Updated 10 months ago
• izmailovpavel / spurious_feature_learning
  ☆45Updated 2 years ago
• ysharma1126 / ssl_identifiability
  Self-Supervised Learning with Data Augmentations Provably Isolates Content from Style
  ☆51Updated 3 years ago
• anniesch / surgical-finetuning
  Code for "Surgical Fine-Tuning Improves Adaptation to Distribution Shifts" published at ICLR 2023
  ☆28Updated last year
• suinleelab / vit-shapley
  ☆33Updated 10 months ago
• yoonholee / DivDis
  ☆40Updated 2 years ago
• xu-ji / information-bottleneck
  Deep Learning & Information Bottleneck
  ☆60Updated last year
• anniesch / jtt
  Code for "Just Train Twice: Improving Group Robustness without Training Group Information"
  ☆72Updated last year
• cambridge-mlg / CLUE
  Code for the paper "Getting a CLUE: A Method for Explaining Uncertainty Estimates"
  ☆35Updated last year
• locuslab / orthogonal-convolutions
  Implementations of orthogonal and semi-orthogonal convolutions in the Fourier domain with applications to adversarial robustness
  ☆45Updated 4 years ago
• huaxiuyao / LISA
  LISA for ICML 2022
  ☆49Updated 2 years ago
• ShuangLI59 / ebm-continual-learning
  Energy-Based Models for Continual Learning Official Repository (PyTorch)
  ☆42Updated 2 years ago
• huaxiuyao / Wild-Time
  Benchmark for Natural Temporal Distribution Shift (NeurIPS 2022)
  ☆66Updated 2 years ago
• YannDubs / Invariant-Self-Supervised-Learning
  Pytorch code for "Improving Self-Supervised Learning by Characterizing Idealized Representations"
  ☆41Updated 2 years ago
• tml-epfl / sharpness-vs-generalization
  A modern look at the relationship between sharpness and generalization [ICML 2023]
  ☆43Updated last year
• YanNeu / spurious_imagenet
  Spurious Features Everywhere - Large-Scale Detection of Harmful Spurious Features in ImageNet
  ☆32Updated last year
• valentyn1boreiko / DVCEs
  ☆39Updated last year
• TUM-DAML / dbu-robustness
  Evaluating Robustness of Predictive Uncertainty Estimation: Are Dirichlet-based Models Reliable ? (ICML 2021)
  ☆28Updated 2 years ago
• dmitrykazhdan / concept-based-xai
  Library implementing state-of-the-art Concept-based and Disentanglement Learning methods for Explainable AI
  ☆54Updated 2 years ago
• gibipara92 / learning-explanations-hard-to-vary
  Code to implement the AND-mask and geometric mean to do gradient based optimization, from the paper "Learning explanations that are hard …
  ☆39Updated 4 years ago
• tml-epfl / understanding-sam
  Towards Understanding Sharpness-Aware Minimization [ICML 2022]
  ☆35Updated 2 years ago
• google-research / vmf_embeddings
  ☆10Updated 3 years ago
• locuslab / edge-of-stability
  ☆68Updated 6 months ago
• RobertCsordas / modules
  The official repository for our paper "Are Neural Nets Modular? Inspecting Functional Modularity Through Differentiable Weight Masks". We…
  ☆46Updated last year
• jhaochenz96 / spectral_contrastive_learning
  ☆22Updated 3 years ago
• mueller-mp / SAM-ON
  ☆34Updated last year