Alternatives and similar repositories for visual-counterfactuals

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

• aakashrkaku / intermdiate_layer_matter_ssl
  The official repository for "Intermediate Layers Matter in Momentum Contrastive Self Supervised Learning" paper.
  ☆40Updated 3 years ago
• facebookresearch / ModelRatatouille
  Recycling diverse models
  ☆45Updated 2 years ago
• MadryLab / data-transfer
  ☆36Updated 2 years ago
• alextamkin / dabs
  A Domain-Agnostic Benchmark for Self-Supervised Learning
  ☆107Updated 2 years ago
• yaohungt / Barlow-Twins-HSIC
  ☆57Updated 3 years ago
• MadryLab / EditingClassifiers
  ☆95Updated 2 years ago
• mkirchhof / Probabilistic_Contrastive_Learning
  This repository contains the code for our paper "Probabilistic Contrastive Learning Recovers the Correct Aleatoric Uncertainty of Ambiguo…
  ☆41Updated 2 years ago
• mkirchhof / url
  Uncertainty-aware representation learning (URL) benchmark
  ☆105Updated 5 months ago
• alexrame / diwa
  DiWA: Diverse Weight Averaging for Out-of-Distribution Generalization
  ☆31Updated 2 years ago
• facebookresearch / imagenetx
  understanding model mistakes with human annotations
  ☆106Updated 2 years ago
• Weixin-Liang / MetaShift
  MetaShift: A Dataset of Datasets for Evaluating Contextual Distribution Shifts and Training Conflicts (ICLR 2022)
  ☆109Updated 3 years ago
• acmi-lab / RLSbench
  Code and results accompanying our paper titled RLSbench: Domain Adaptation under Relaxed Label Shift
  ☆35Updated 2 years ago
• zengyi-li / NMCE-release
  Code for Neural Manifold Clustering and Embedding
  ☆61Updated 3 years ago
• facebookresearch / DejaVu
  Repository for the paper Do SSL Models Have Déjà Vu? A Case of Unintended Memorization in Self-supervised Learning
  ☆36Updated 2 years ago
• tkasarla / max-separation-as-inductive-bias
  Github code for the paper Maximum Class Separation as Inductive Bias in One Matrix. Arxiv link: https://arxiv.org/abs/2206.08704
  ☆29Updated 2 years ago
• dydjw9 / Efficient_SAM
  ☆58Updated 2 years ago
• amodas / PRIME-augmentations
  PRIME: A Few Primitives Can Boost Robustness to Common Corruptions
  ☆42Updated 2 years ago
• hsouri / BayesianTransferLearning
  ☆108Updated 2 years ago
• martinagvilas / vit-cls_emb
  Accompanying code for "Analyzing Vision Tranformers in Class Embedding Space" (NeurIPS '23)
  ☆14Updated last year
• andrijazz / ash
  Code release for paper Extremely Simple Activation Shaping for Out-of-Distribution Detection
  ☆54Updated last year
• rehg-lab / CLRec
  Pytorch implementation for "The Surprising Positive Knowledge Transfer in Continual 3D Object Shape Reconstruction"
  ☆33Updated 2 years ago
• facebookresearch / Whac-A-Mole
  Code for the paper "A Whac-A-Mole Dilemma Shortcuts Come in Multiples Where Mitigating One Amplifies Others"
  ☆49Updated last year
• huaxiuyao / LISA
  LISA for ICML 2022
  ☆50Updated 2 years ago
• evandez / neuron-descriptions
  Natural Language Descriptions of Deep Visual Features, ICLR 2022
  ☆65Updated 2 years ago
• allenai / ViRB
  Visual Representation Learning Benchmark for Self-Supervised Models
  ☆35Updated last year
• izmailovpavel / spurious_feature_learning
  ☆46Updated 2 years ago
• joshr17 / IFM
  Code for paper "Can contrastive learning avoid shortcut solutions?" NeurIPS 2021.
  ☆47Updated 3 years ago
• facebookresearch / directclr
  Code used in "Understanding Dimensional Collapse in Contrastive Self-supervised Learning" paper.
  ☆79Updated 2 years ago
• dlmacedo / distinction-maximization-loss
  A project to improve out-of-distribution detection (open set recognition) and uncertainty estimation by changing a few lines of code in y…
  ☆44Updated 2 years ago
• andyzoujm / pixmix
  PixMix: Dreamlike Pictures Comprehensively Improve Safety Measures (CVPR 2022)
  ☆108Updated 3 years ago