Alternatives and similar repositories for LIME-3D

Users that are interested in LIME-3D are comparing it to the libraries listed below

• luyuzhe111 / COT
  [NeurIPS 23] Characterizing OOD Error via Optimal Transport
  ☆13Updated last year
• YanNeu / spurious_imagenet
  Spurious Features Everywhere - Large-Scale Detection of Harmful Spurious Features in ImageNet
  ☆32Updated last year
• jjcherian / conformal-safety
  ☆29Updated 7 months ago
• bmucsanyi / bud
  ☆17Updated 9 months ago
• ifiaposto / Distance_Aware_Bottleneck
  Official Implementation of the paper: "A Rate-Distorion View of Uncertainty Quantification", ICML 2024
  ☆28Updated 9 months ago
• omegafragger / DDU
  Code for Deterministic Neural Networks with Appropriate Inductive Biases Capture Epistemic and Aleatoric Uncertainty
  ☆142Updated 2 years ago
• iamalexkorotin / Wasserstein2Barycenters
  PyTorch implementation of the paper "Continuous Wasserstein-2 Barycenter Estimation without Minimax Optimization" (ICLR 2021)
  ☆23Updated 3 years ago
• aliasgharkhani / Masktune
  ☆28Updated 2 years ago
• valeoai / STEEX
  STEEX: Steering Counterfactual Explanations with Semantics
  ☆19Updated 2 years ago
• AmirooR / IntraOrderPreservingCalibration
  ☆12Updated 2 years ago
• bmucsanyi / untangle
  Large-scale uncertainty benchmark in deep learning.
  ☆60Updated last month
• borchero / natural-posterior-network
  Official Implementation of "Natural Posterior Network: Deep Bayesian Predictive Uncertainty for Exponential Family Distributions" (ICLR, …
  ☆82Updated 2 years ago
• kaiwenzha / contrastive-poisoning
  [ICLR 2023, Spotlight] Indiscriminate Poisoning Attacks on Unsupervised Contrastive Learning
  ☆31Updated last year
• giannifranchi / LP_BNN
  This repository contains an official implementation of LPBNN.
  ☆38Updated 2 years ago
• AI4LIFE-GROUP / LLM_Explainer
  Code for paper: Are Large Language Models Post Hoc Explainers?
  ☆33Updated 11 months ago
• lisa-wm / entropybaseduq
  ☆10Updated 2 months ago
• alextamkin / viewmaker
  ☆38Updated 3 years ago
• maohaos2 / PosthocUQ
  ☆18Updated last year
• orientino / dum-components
  Code for "Training, Architecture, and Prior for Deterministic Uncertainty Methods" ICLR 2023 Workshop on Trustworthy ML
  ☆12Updated 2 years ago
• xu-ji / information-bottleneck
  Deep Learning & Information Bottleneck
  ☆60Updated last year
• mertyg / post-hoc-cbm
  Code for the paper "Post-hoc Concept Bottleneck Models". Spotlight @ ICLR 2023
  ☆78Updated last year
• y0ast / DUE
  Code for "On Feature Collapse and Deep Kernel Learning for Single Forward Pass Uncertainty".
  ☆112Updated 3 years ago
• cambridge-mlg / CLUE
  Code for the paper "Getting a CLUE: A Method for Explaining Uncertainty Estimates"
  ☆34Updated last year
• deel-ai / Craft
  👋 Code for : "CRAFT: Concept Recursive Activation FacTorization for Explainability" (CVPR 2023)
  ☆65Updated last year
• sharpenb / Posterior-Network
  Posterior Network: Uncertainty Estimation without OOD Samples via Density-Based Pseudo-Counts (Neurips 2020)
  ☆77Updated 3 years ago
• deel-ai-papers / conformal-segmentation
  Conformal prediction for uncertainty quantification in image segmentation
  ☆23Updated 6 months ago
• RaoulHeese / qshaptools
  Experimental toolbox for quantum Shapley values.
  ☆10Updated last year
• paulgavrikov / vlm_shapebias
  Official code for "Can We Talk Models Into Seeing the World Differently?" (ICLR 2025).
  ☆25Updated 5 months ago
• MadryLab / failure-directions
  Distilling Model Failures as Directions in Latent Space
  ☆47Updated 2 years ago
• valentyn1boreiko / DVCEs
  ☆39Updated last year