Alternatives and similar repositories for DSEG-LIME

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

• atschalz / mcgmenn
  ☆12Updated 11 months ago
• jzenkner / AbstractBeam
  ☆11Updated 8 months ago
• jannik-brinkmann / social-biases-in-vision-transformers
  [ICCV 2023] Official PyTorch implementation of "A Multidimensional Analysis of Social Biases in Vision Transformers"
  ☆12Updated last year
• atschalz / dc_tabeval
  A Data-Centric Perspective on Evaluating Machine Learning Models for Tabular Data
  ☆17Updated 9 months ago
• s-marton / GradTree
  (AAAI 2024) GradTree: Gradient-Based Axis-Aligned Decision Trees
  ☆27Updated 3 months ago
• KathPra / DCBM
  Official repo for ICML25 paper: DCBM: Data-Efficient Visual Concept Bottleneck Models
  ☆20Updated this week
• s-marton / GRANDE
  (ICLR 2024) GRANDE: Gradient-Based Decision Tree Ensembles
  ☆91Updated 2 months ago
• deel-ai-papers / conformal-segmentation
  Conformal prediction for uncertainty quantification in image segmentation
  ☆23Updated 5 months ago
• soda-inria / tabicl
  Repository for TabICL: A Tabular Foundation Model for In-Context Learning on Large Data
  ☆72Updated 2 weeks ago
• microsoft / ticl
  Tabular In-Context Learning
  ☆67Updated 3 months ago
• KempnerInstitute / overcomplete
  👋 Overcomplete is a Vision-based SAE Toolbox
  ☆57Updated 2 months ago
• dilyabareeva / quanda
  A toolkit for quantitative evaluation of data attribution methods.
  ☆47Updated last month
• penfever / TuneTables
  TuneTables is a tabular classifier that implements prompt tuning for frozen prior-fitted networks.
  ☆19Updated 2 months ago
• LennartPurucker / finetune_tabpfn_v2
  Code for finetuning TabPFN on one downstream tabular dataset.
  ☆57Updated 2 weeks ago
• neuroexplicit-saar / Discover-then-Name
  Code for the paper: Discover-then-Name: Task-Agnostic Concept Bottlenecks via Automated Concept Discovery. ECCV 2024.
  ☆44Updated 7 months ago
• ml-stat-Sustech / TorchCP
  A Python toolbox for conformal prediction research on deep learning models, using PyTorch.
  ☆389Updated last week
• layer6ai-labs / TabDPT
  TabDPT: Scaling Tabular Foundation Models
  ☆27Updated last month
• vanderschaarlab / Interpretability
  Resources for Machine Learning Explainability
  ☆78Updated 9 months ago
• naszilla / tabzilla
  Code for "TabZilla: When Do Neural Nets Outperform Boosted Trees on Tabular Data?"
  ☆159Updated last year
• 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…
  ☆23Updated last year
• jim-berend / semanticlens
  ☆13Updated 3 weeks ago
• annahedstroem / MetaQuantus
  MetaQuantus is an XAI performance tool to identify reliable evaluation metrics
  ☆34Updated last year
• aangelopoulos / conformal-risk
  Conformal prediction for controlling monotonic risk functions. Simple accompanying PyTorch code for conformal risk control in computer vi…
  ☆66Updated 2 years ago
• yandex-research / tabred
  (ICLR 2025 Spotlight) TabReD: Analyzing Pitfalls and Filling the Gaps in Tabular Deep Learning Benchmarks
  ☆72Updated last week
• DDI-Dataset / DDI-Code
  ☆16Updated 2 years ago
• rachtibat / LRP-eXplains-Transformers
  Layer-Wise Relevance Propagation for Large Language Models and Vision Transformers [ICML 2024]
  ☆164Updated 2 months ago
• deel-ai / Craft
  👋 Code for : "CRAFT: Concept Recursive Activation FacTorization for Explainability" (CVPR 2023)
  ☆64Updated last year
• Prisma-Multimodal / ViT-Prisma
  ViT Prisma is a mechanistic interpretability library for Vision and Video Transformers (ViTs).
  ☆250Updated this week
• ml-stat-Sustech / conformal_prediction_via_label_ranking
  [ICML'24] Conformal Prediction for Deep Classifier via Label Ranking
  ☆12Updated 11 months ago
• moment-timeseries-foundation-model / TimeSeriesGym
  Official code for TimeSeriesGym: A Scalable Benchmark for (Time Series) Machine Learning Engineering Agents
  ☆14Updated 3 weeks ago