Alternatives and similar repositories for road_evaluation

Users that are interested in road_evaluation are comparing it to the libraries listed below

• valentyn1boreiko / DVCEs
  ☆43Updated last year
• YyzHarry / SubpopBench
  [ICML 2023] Change is Hard: A Closer Look at Subpopulation Shift
  ☆111Updated 2 years ago
• facebookresearch / Whac-A-Mole
  Code for the paper "A Whac-A-Mole Dilemma Shortcuts Come in Multiples Where Mitigating One Amplifies Others"
  ☆49Updated last year
• charan223 / FairDeepLearning
  ☆37Updated 2 years ago
• kaifishr / PyTorchRelevancePropagation
  A basic implementation of Layer-wise Relevance Propagation (LRP) in PyTorch.
  ☆98Updated 3 years ago
• alstonlo / torch-influence
  A simple PyTorch implementation of influence functions.
  ☆91Updated last year
• PolinaKirichenko / deep_feature_reweighting
  ☆109Updated 2 years ago
• somepago / dbViz
  The official PyTorch implementation - Can Neural Nets Learn the Same Model Twice? Investigating Reproducibility and Double Descent from t…
  ☆83Updated 3 years ago
• pratyushmaini / ssft
  [NeurIPS'22] Official Repository for Characterizing Datapoints via Second-Split Forgetting
  ☆16Updated 2 years ago
• mertyg / post-hoc-cbm
  Code for the paper "Post-hoc Concept Bottleneck Models". Spotlight @ ICLR 2023
  ☆87Updated last year
• izmailovpavel / spurious_feature_learning
  ☆46Updated 2 years ago
• yuji-roh / fairbatch
  FairBatch: Batch Selection for Model Fairness (ICLR 2021)
  ☆20Updated 2 years ago
• Trustworthy-ML-Lab / Label-free-CBM
  [ICLR 23] A new framework to transform any neural networks into an interpretable concept-bottleneck-model (CBM) without needing labeled c…
  ☆121Updated last year
• MLAI-Yonsei / CaRot
  source code for NeurIPS'24 paper "Towards Calibrated Robust Fine-Tuning of Vision-Language Models"
  ☆14Updated 3 weeks ago
• dedeswim / vits-robustness-torch
  Code for the paper "A Light Recipe to Train Robust Vision Transformers" [SaTML 2023]
  ☆54Updated 2 years ago
• anniesch / jtt
  Code for "Just Train Twice: Improving Group Robustness without Training Group Information"
  ☆72Updated last year
• alinlab / LfF
  Learning from Failure: Training Debiased Classifier from Biased Classifier (NeurIPS 2020)
  ☆92Updated 5 years ago
• maxdreyer / Reveal2Revise
  Reveal to Revise: An Explainable AI Life Cycle for Iterative Bias Correction of Deep Models. Paper presented at MICCAI 2023 conference.
  ☆20Updated last year
• arnav-gudibande / conceptSHAP
  PyTorch Transformer-based Language Model Implementation of ConceptSHAP
  ☆14Updated 5 years ago
• pankessel / adv_explanation_ref
  reference implementation for "explanations can be manipulated and geometry is to blame"
  ☆37Updated 3 years ago
• chihkuanyeh / concept_exp
  code release for the paper "On Completeness-aware Concept-Based Explanations in Deep Neural Networks"
  ☆54Updated 3 years ago
• AdityaGolatkar / SelectiveForgetting
  ☆58Updated 5 years ago
• yewsiang / ConceptBottleneck
  Concept Bottleneck Models, ICML 2020
  ☆227Updated 2 years ago
• p3i0t / SimCLR-CIFAR10
  Pytorch SimCLR on CIFAR10 (92.85% test accuracy)
  ☆58Updated 5 years ago
• edadaltocg / detectors
  Python package to accelerate research on generalized out-of-distribution (OOD) detection.
  ☆14Updated last year
• zhihengli-UR / DebiAN
  Official code of "Discover and Mitigate Unknown Biases with Debiasing Alternate Networks" (ECCV 2022)
  ☆25Updated 2 years ago
• Trustworthy-ML-Lab / CLIP-dissect
  [ICLR 23 spotlight] An automatic and efficient tool to describe functionalities of individual neurons in DNNs
  ☆56Updated 2 years ago
• abonte / protopdebug
  Implementation of Concept-level Debugging of Part-Prototype Networks
  ☆12Updated 2 years ago
• princetonvisualai / DomainBiasMitigation
  ☆72Updated 5 years ago
• CAMP-eXplain-AI / InputIBA
  NeurIPS 2021 | Fine-Grained Neural Network Explanation by Identifying Input Features with Predictive Information
  ☆34Updated 3 years ago