Alternatives and similar repositories for DSEG-LIME

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

• deel-ai-papers / conformal-segmentation
  [CVPRW 2024] Conformal prediction for uncertainty quantification in image segmentation
  ☆26Updated last year
• KathPra / DCBM
  Official repo for ICML25 paper: DCBM: Data-Efficient Visual Concept Bottleneck Models
  ☆24Updated 2 months ago
• KempnerInstitute / overcomplete
  👋 Overcomplete is a Vision-based SAE Toolbox
  ☆106Updated last week
• atschalz / mcgmenn
  ☆13Updated last year
• mkirchhof / url
  Uncertainty-aware representation learning (URL) benchmark
  ☆105Updated 9 months ago
• mobarakol / DARES
  ☆24Updated last year
• rajesh-lab / symile
  Symile is a flexible, architecture-agnostic contrastive loss that enables training modality-specific representations for any number of mo…
  ☆46Updated 8 months ago
• jim-berend / semanticlens
  Mechanistic understanding and validation of large AI models with SemanticLens
  ☆47Updated last week
• bifold-pathomics / xMIL
  xMIL: Insightful Explanations for Multiple Instance Learning in Histopathology
  ☆22Updated 9 months ago
• jzenkner / AbstractBeam
  ☆11Updated last year
• dilyabareeva / quanda
  A toolkit for quantitative evaluation of data attribution methods.
  ☆54Updated 5 months ago
• alicebizeul / pmae
  Code for Principal Masked Autoencoders
  ☆30Updated 8 months ago
• rgklab / detectron
  Official repository for the ICLR 2023 paper "A Learning Based Hypothesis Test for Harmful Covariate Shift"
  ☆11Updated last year
• leoandeol / cods
  🐟 CODS - Conformal Object Detection and Segmentation
  ☆19Updated 3 weeks ago
• shrebox / B-cosification
  [NeurIPS 2024] Code for the paper: B-cosification: Transforming Deep Neural Networks to be Inherently Interpretable.
  ☆38Updated 2 months ago
• MadryLab / modelcomponents
  Decomposing and Editing Predictions by Modeling Model Computation
  ☆139Updated last year
• penfever / marvis
  MARVIS (Modality Adaptive Reasoning over VISualizations) is an 'everything predictor' powered by VLMs + embeddings
  ☆12Updated 3 months ago
• vanderschaarlab / Interpretability
  Resources for Machine Learning Explainability
  ☆86Updated last year
• AhmedImtiazPrio / splinecam
  Exact method for visualizing partitions of a Deep Neural Network, CVPR 2023 Highlight
  ☆110Updated 10 months ago
• alawryaguila / multi-view-AE
  Multi-view-AE: An extensive collection of multi-modal autoencoders implemented in a modular, scikit-learn style framework.
  ☆54Updated last year
• Sid3503 / NoProp
  PyTorch implementation of the groundbreaking paper "NoProp: Training Neural Networks Without Backpropagation or Forward Propagation".
  ☆65Updated 7 months ago
• TimJaspers0801 / SurgeNet
  [MedIA 2025] - Official repo for the paper: "Scaling up self-supervised learning for improved surgical foundation models"
  ☆46Updated 2 weeks ago
• wbw520 / DiReCT
  DiReCT: Diagnostic Reasoning for Clinical Notes via Large Language Models (NeurIPS 2024 D&B Track)
  ☆22Updated 9 months ago
• FarnoushRJ / MambaLRP
  [NeurIPS 2024] Official implementation of the paper "MambaLRP: Explaining Selective State Space Sequence Models" 🐍
  ☆45Updated last year
• Sharut / CARE
  ☆17Updated 2 years ago
• dholzmueller / probmetrics
  Classification metrics and post-hoc calibration
  ☆45Updated 3 weeks ago
• MECLabTUDA / FrOoDo
  ☆27Updated 2 years ago
• martinferianc / yamle
  YAMLE: Yet Another Machine Learning Environment
  ☆34Updated 10 months ago
• Stanford-AIMI / LieRE
  [ICML-2025] We introduce Lie group Relative position Encodings (LieRE) that goes beyond RoPE in supporting n-dimensional inputs.
  ☆13Updated 4 months ago
• sanketx / AL-foundation-models
  Active Learning in the era of Foundation Models
  ☆11Updated 7 months ago