Alternatives and similar repositories for ProtoPNet

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

• idiap / fullgrad-saliency
  Full-gradient saliency maps
  ☆212Updated 2 years ago
• hans66hsu / nn_interpretability
  Pytorch implementation of various neural network interpretability methods
  ☆118Updated 3 years ago
• eclique / RISE
  Detect model's attention
  ☆168Updated 5 years ago
• haofanwang / Score-CAM
  Official implementation of Score-CAM in PyTorch
  ☆429Updated 3 years ago
• M-Nauta / ProtoTree
  ProtoTrees: Neural Prototype Trees for Interpretable Fine-grained Image Recognition, published at CVPR2021
  ☆104Updated 3 years ago
• moboehle / Pytorch-LRP
  Basic LRP implementation in PyTorch
  ☆171Updated last year
• zhiCHEN96 / ConceptWhitening
  ☆121Updated 3 years ago
• wetliu / energy_ood
  ☆418Updated 3 years ago
• samzabdiel / XAI
  Papers and code of Explainable AI esp. w.r.t. Image classificiation
  ☆215Updated 3 years ago
• adebayoj / sanity_checks_saliency
  ☆112Updated 2 years ago
• hollance / reliability-diagrams
  Reliability diagrams visualize whether a classifier model needs calibration
  ☆155Updated 3 years ago
• amiratag / ACE
  Towards Automatic Concept-based Explanations
  ☆160Updated last year
• fhvilshoj / TorchLRP
  A PyTorch 1.6 implementation of Layer-Wise Relevance Propagation (LRP).
  ☆138Updated 4 years ago
• yukimasano / self-label
  Self-labelling via simultaneous clustering and representation learning. (ICLR 2020)
  ☆542Updated last year
• dougbrion / pytorch-classification-uncertainty
  This repo contains a PyTorch implementation of the paper: "Evidential Deep Learning to Quantify Classification Uncertainty"
  ☆486Updated last year
• SaoYan / LearnToPayAttention
  PyTorch implementation of ICLR 2018 paper Learn To Pay Attention (and some modification)
  ☆168Updated 4 years ago
• hendrycks / ss-ood
  Self-Supervised Learning for OOD Detection (NeurIPS 2019)
  ☆267Updated 4 years ago
• shengliu66 / ELR
  Official Implementation of Early-Learning Regularization Prevents Memorization of Noisy Labels
  ☆296Updated 2 years ago
• pokaxpoka / deep_Mahalanobis_detector
  Code for the paper "A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks".
  ☆347Updated 6 years ago
• valeoai / ConfidNet
  Addressing Failure Prediction by Learning Model Confidence
  ☆173Updated 2 years ago
• TianhongDai / integrated-gradient-pytorch
  This is the pytorch implementation of the paper - Axiomatic Attribution for Deep Networks.
  ☆185Updated 3 years ago
• facebookresearch / odin
  A simple and effective method for detecting out-of-distribution images in neural networks.
  ☆537Updated 3 years ago
• sthalles / PyTorch-BYOL
  PyTorch implementation of Bootstrap Your Own Latent: A New Approach to Self-Supervised Learning
  ☆496Updated 3 years ago
• leftthomas / SimCLR
  A PyTorch implementation of SimCLR based on ICML 2020 paper "A Simple Framework for Contrastive Learning of Visual Representations"
  ☆566Updated 5 years ago
• facebookresearch / TorchRay
  Understanding Deep Networks via Extremal Perturbations and Smooth Masks
  ☆347Updated 5 years ago
• p-lambda / wilds
  A machine learning benchmark of in-the-wild distribution shifts, with data loaders, evaluators, and default models.
  ☆574Updated last year
• KevinMusgrave / pytorch-adapt
  Domain adaptation made easy. Fully featured, modular, and customizable.
  ☆381Updated 2 years ago
• laura-rieger / deep-explanation-penalization
  Code for using CDEP from the paper "Interpretations are useful: penalizing explanations to align neural networks with prior knowledge" ht…
  ☆128Updated 4 years ago
• kaifishr / PyTorchRelevancePropagation
  A basic implementation of Layer-wise Relevance Propagation (LRP) in PyTorch.
  ☆96Updated 2 years ago
• microsoft / robustdg
  Toolkit for building machine learning models that generalize to unseen domains and are robust to privacy and other attacks.
  ☆176Updated last year