Alternatives and similar repositories for funnybirds-framework:

Users that are interested in funnybirds-framework are comparing it to the libraries listed below

• visinf / funnybirds
  FunnyBirds: A Synthetic Vision Dataset for a Part-Based Analysis of Explainable AI Methods (ICCV 2023)
  ☆20Updated 2 months ago
• B-cos / B-cos-v2
  Official PyTorch implementation of improved B-cos models
  ☆45Updated 11 months ago
• evandez / neuron-descriptions
  Natural Language Descriptions of Deep Visual Features, ICLR 2022
  ☆62Updated last year
• oripress / CCC
  Code for Continuously Changing Corruptions (CCC) benchmark + evaluation
  ☆33Updated 6 months ago
• MLAI-Yonsei / CaRot
  source code for NeurIPS'24 paper "Towards Calibrated Robust Fine-Tuning of Vision-Language Models"
  ☆11Updated 4 months ago
• guillaumejs2403 / DiME
  Official Code for the ACCV 2022 paper Diffusion Models for Counterfactual Explanations
  ☆24Updated 2 months ago
• virajprabhu / LANCE
  LANCE: Stress-testing Visual Models by Generating Language-guided Counterfactual Images
  ☆31Updated last year
• valentyn1boreiko / DVCEs
  ☆38Updated 9 months ago
• Nanne / ProtoSim
  Code and instructions accompanying ICCV'23 paper Protoype-based Dataset Comparison
  ☆17Updated last year
• lisa-wm / entropybaseduq
  ☆10Updated last year
• facebookresearch / Whac-A-Mole
  Code for the paper "A Whac-A-Mole Dilemma Shortcuts Come in Multiples Where Mitigating One Amplifies Others"
  ☆47Updated 7 months ago
• moboehle / B-cos
  B-cos Networks: Alignment is All we Need for Interpretability
  ☆107Updated last year
• neuroexplicit-saar / Discover-then-Name
  Code for the paper: Discover-then-Name: Task-Agnostic Concept Bottlenecks via Automated Concept Discovery. ECCV 2024.
  ☆35Updated 3 months ago
• j-cb / NINCO
  Code and data for the paper "In or Out? Fixing ImageNet Out-of-Distribution Detection Evaluation"
  ☆24Updated last year
• mertyg / post-hoc-cbm
  Code for the paper "Post-hoc Concept Bottleneck Models". Spotlight @ ICLR 2023
  ☆73Updated 9 months ago
• Trustworthy-ML-Lab / CLIP-dissect
  An automatic and efficient tool to describe functionalities of individual neurons in DNNs
  ☆43Updated last year
• alinlab / BAR
  The repository for the official Biased Action Recognition (BAR) dataset for the paper Learning from Failure: Training Debiased Classifier…
  ☆30Updated 4 years ago
• yossigandelsman / rosetta_neurons
  Official PyTorch Implementation of "Rosetta Neurons: Mining the Common Units in a Model Zoo"
  ☆30Updated last year
• AI4LIFE-GROUP / SpLiCE
  Sparse Linear Concept Embeddings
  ☆81Updated 6 months ago
• YugeTen / adios
  ☆63Updated 2 years ago
• ExplainableML / WaffleCLIP
  Official repository for the ICCV 2023 paper: "Waffling around for Performance: Visual Classification with Random Words and Broad Concepts…
  ☆56Updated last year
• Crazy-Jack / nips2023_shape_vs_texture
  [NeurIPS 23' Oral] Emergence of Shape Bias in Convolutional Neural Networks through Activation Sparsity
  ☆26Updated 9 months ago
• modestyachts / ImageNetV2_pytorch
  ImageNetV2 Pytorch Dataset
  ☆40Updated last year
• soumik-kanad / diffssl
  Code for the paper "Do text-free diffusion models learn discriminative visual representations?"
  ☆22Updated last year
• naver / trex
  PyTorch implementation of the paper "No reason for no supervision: Improving the generalization of supervised models"
  ☆19Updated last year
• andrijazz / ash
  Code release for paper Extremely Simple Activation Shaping for Out-of-Distribution Detection
  ☆50Updated 5 months ago
• princetonvisualai / HIVE
  HIVE: Evaluating the Human Interpretability of Visual Explanations (ECCV 2022)
  ☆19Updated 2 years ago
• shift-happens-benchmark / icml-2022
  Crowdsourcing metrics and test datasets beyond ImageNet (ICML 2022 workshop)
  ☆38Updated 9 months ago
• maxdreyer / Reveal2Revise
  Reveal to Revise: An Explainable AI Life Cycle for Iterative Bias Correction of Deep Models. Paper presented at MICCAI 2023 conference.
  ☆19Updated last year