Alternatives and similar repositories for beexplainable

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

• B-cos / B-cos-v2
  Official PyTorch implementation of improved B-cos models
  ☆55Updated 2 months ago
• JindongGu / Contrastive-LRP
  A pytorch implemention of the Explainable AI work 'Contrastive layerwise relevance propagation (CLRP)'
  ☆17Updated 3 years ago
• gregdeon / spotlight
  Implementation of the spotlight: a method for discovering systematic errors in deep learning models
  ☆11Updated 4 years ago
• rodrigobdz / lrp
  Explain Neural Networks using Layer-Wise Relevance Propagation and evaluate the explanations using Pixel-Flipping and Area Under the Curv…
  ☆16Updated 3 years ago
• aakashrkaku / intermdiate_layer_matter_ssl
  The official repository for "Intermediate Layers Matter in Momentum Contrastive Self Supervised Learning" paper.
  ☆40Updated 3 years ago
• rachtibat / zennit-crp
  An eXplainable AI toolkit with Concept Relevance Propagation and Relevance Maximization
  ☆139Updated last year
• JayRothenberger / Meta-Co-Training
  ☆23Updated 9 months ago
• p-giakoumoglou / pyssl
  Self-Supervised Learning in PyTorch
  ☆143Updated last year
• hollance / reliability-diagrams
  Reliability diagrams visualize whether a classifier model needs calibration
  ☆162Updated 3 years ago
• deel-ai / Craft
  👋 Code for : "CRAFT: Concept Recursive Activation FacTorization for Explainability" (CVPR 2023)
  ☆71Updated 2 years ago
• zhiCHEN96 / ConceptWhitening
  ☆122Updated 3 years ago
• samzabdiel / XAI
  Papers and code of Explainable AI esp. w.r.t. Image classificiation
  ☆225Updated 3 years ago
• annahedstroem / MetaQuantus
  MetaQuantus is an XAI performance tool to identify reliable evaluation metrics
  ☆40Updated last year
• mdca-loss / MDCA-Calibration
  [CVPR 2022] Official code for the paper: "A Stitch in Time Saves Nine: A Train-Time Regularizing Loss for Improved Neural Network Calibra…
  ☆33Updated 3 years ago
• torrvision / focal_calibration
  Code for the paper "Calibrating Deep Neural Networks using Focal Loss"
  ☆161Updated last year
• fbuchert / fixmatch-pytorch
  PyTorch implementation of FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence
  ☆12Updated 4 years ago
• dooleys / FR-NAS
  ☆17Updated 2 years ago
• ahmedmagdiosman / clevr-xai
  Dataset and code for the CLEVR-XAI dataset.
  ☆33Updated 2 years ago
• mkirchhof / url
  Uncertainty-aware representation learning (URL) benchmark
  ☆105Updated 9 months ago
• dlmacedo / robust-deep-learning
  A project to train your model from scratch or fine-tune a pretrained model using the losses provided in this library to improve out-of-di…
  ☆17Updated 3 years ago
• fcakyon / balanced-loss
  Easy to use class balanced cross entropy and focal loss implementation for Pytorch
  ☆99Updated last year
• sayakpaul / Generalized-ODIN-TF
  TensorFlow 2 implementation of the paper Generalized ODIN: Detecting Out-of-distribution Image without Learning from Out-of-distribution …
  ☆45Updated 4 years ago
• facebookresearch / visual-counterfactuals
  Making Heads or Tails Towards Semantically Consistent Visual Counterfactuals
  ☆30Updated 3 years ago
• sayakpaul / swin-transformers-tf
  Implementation of Swin Transformers in TensorFlow along with converted pre-trained models, code for off-the-shelf classification and fine…
  ☆60Updated 3 years ago
• VisMIL / CAMERAS
  ☆57Updated 2 years ago
• Jonathan-Pearce / calibration-toolbox
  NumPy library for calibration metrics
  ☆73Updated 2 months ago
• Imageomics / INTR
  This is an official implementation for [ICLR'24] INTR: Interpretable Transformer for Fine-grained Image Classification.
  ☆57Updated last year
• IML-DKFZ / fd-shifts
  A Benchmark for Failure Detection under Distribution Shifts in Image Classification
  ☆34Updated last year
• yueliukth / PatchDropout
  ☆19Updated 2 years ago
• maxdreyer / L-CRP
  Concept Relevance Propagation for Localization Models, accepted at SAIAD workshop at CVPR 2023.
  ☆15Updated last year