Alternatives and similar repositories for DSEG-LIME

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

• atschalz / mcgmenn
  ☆13Updated last year
• deel-ai-papers / conformal-segmentation
  [CVPRW 2024] Conformal prediction for uncertainty quantification in image segmentation
  ☆26Updated 10 months ago
• KathPra / DCBM
  Official repo for ICML25 paper: DCBM: Data-Efficient Visual Concept Bottleneck Models
  ☆23Updated last month
• jzenkner / AbstractBeam
  ☆11Updated last year
• KempnerInstitute / overcomplete
  👋 Overcomplete is a Vision-based SAE Toolbox
  ☆96Updated 3 months ago
• alicebizeul / pmae
  Code for Principal Masked Autoencoders
  ☆30Updated 7 months ago
• s-marton / SYMPOL
  (ICLR 2025) Mitigating Information Loss in Tree-Based Reinforcement Learning via Direct Optimization
  ☆25Updated last year
• MadryLab / modelcomponents
  Decomposing and Editing Predictions by Modeling Model Computation
  ☆138Updated last year
• mkofinas / neural-graphs
  Official source code for "Graph Neural Networks for Learning Equivariant Representations of Neural Networks". In ICLR 2024 (oral).
  ☆83Updated last year
• jim-berend / semanticlens
  Mechanistic understanding and validation of large AI models with SemanticLens
  ☆41Updated last month
• FarnoushRJ / MambaLRP
  [NeurIPS 2024] Official implementation of the paper "MambaLRP: Explaining Selective State Space Sequence Models" 🐍
  ☆45Updated 11 months ago
• batmanlab / ICML-2023-Route-interpret-repeat
  [ICML 2023] Official repository of paper: Dividing and Conquering a BlackBox to a Mixture of Interpretable Models: Route, Interpret, Repe…
  ☆25Updated 3 months ago
• mkirchhof / url
  Uncertainty-aware representation learning (URL) benchmark
  ☆105Updated 7 months ago
• rajesh-lab / symile
  Symile is a flexible, architecture-agnostic contrastive loss that enables training modality-specific representations for any number of mo…
  ☆42Updated 7 months ago
• dilyabareeva / quanda
  A toolkit for quantitative evaluation of data attribution methods.
  ☆53Updated 3 months ago
• raunaqbhirangi / hiss
  Hierarchical State Space Models
  ☆47Updated last year
• penfever / TuneTables
  TuneTables is a tabular classifier that implements prompt tuning for frozen prior-fitted networks.
  ☆21Updated 7 months ago
• soda-inria / tabicl
  Repository for TabICL: A Tabular Foundation Model for In-Context Learning on Large Data
  ☆210Updated 2 months ago
• dholzmueller / probmetrics
  Classfication metrics and post-hoc calibration
  ☆37Updated 4 months ago
• riverstone496 / awesome-second-order-optimization
  ☆28Updated last month
• atschalz / dc_tabeval
  A Data-Centric Perspective on Evaluating Machine Learning Models for Tabular Data
  ☆16Updated last year
• naszilla / tabzilla
  Code for "TabZilla: When Do Neural Nets Outperform Boosted Trees on Tabular Data?"
  ☆169Updated last year
• yu-rp / KANbeFair
  A More Fair and Comprehensive Comparison between KAN and MLP
  ☆175Updated last year
• badripatro / mamba360
  State Space Models
  ☆70Updated last year
• david-rundel / tabpfn_iml
  Interpretable ML for TabPFN
  ☆40Updated 3 months ago
• martinferianc / yamle
  YAMLE: Yet Another Machine Learning Environment
  ☆35Updated 9 months ago
• ml-stat-Sustech / conformal_prediction_via_label_ranking
  [ICML'24] Conformal Prediction for Deep Classifier via Label Ranking
  ☆12Updated last year
• microsoft / ticl
  Tabular In-Context Learning
  ☆93Updated 7 months ago
• rgklab / detectron
  Official repository for the ICLR 2023 paper "A Learning Based Hypothesis Test for Harmful Covariate Shift"
  ☆11Updated last year
• LennartPurucker / finetune_tabpfn_v2
  Code for finetuning TabPFN on one downstream tabular dataset.
  ☆77Updated last month