cfchen-duke / ProtoPNetLinks
This code package implements the prototypical part network (ProtoPNet) from the paper "This Looks Like That: Deep Learning for Interpretable Image Recognition" (to appear at NeurIPS 2019), by Chaofan Chen* (Duke University), Oscar Li* (Duke University), Chaofan Tao (Duke University), Alina Jade Barnett (Duke University), Jonathan Su (MIT Lincoln…
☆375Updated 3 years ago
Alternatives and similar repositories for ProtoPNet
Users that are interested in ProtoPNet are comparing it to the libraries listed below
Sorting:
- Pytorch implementation of various neural network interpretability methods☆118Updated 3 years ago
- Full-gradient saliency maps☆212Updated 2 years ago
- Detect model's attention☆168Updated 5 years ago
- Official implementation of Score-CAM in PyTorch☆431Updated 3 years ago
- This repo contains a PyTorch implementation of the paper: "Evidential Deep Learning to Quantify Classification Uncertainty"☆494Updated last year
- ProtoTrees: Neural Prototype Trees for Interpretable Fine-grained Image Recognition, published at CVPR2021☆106Updated 3 years ago
- Basic LRP implementation in PyTorch☆172Updated last year
- Official Implementation of Early-Learning Regularization Prevents Memorization of Noisy Labels☆296Updated 2 years ago
- Self-labelling via simultaneous clustering and representation learning. (ICLR 2020)☆546Updated last year
- PyTorch implementation of Bootstrap Your Own Latent: A New Approach to Self-Supervised Learning☆500Updated 3 years ago
- ☆424Updated 4 years ago
- Papers and code of Explainable AI esp. w.r.t. Image classificiation☆219Updated 3 years ago
- ☆122Updated 3 years ago
- ☆112Updated 2 years ago
- A PyTorch implementation of SimCLR based on ICML 2020 paper "A Simple Framework for Contrastive Learning of Visual Representations"☆567Updated 5 years ago
- Self-Supervised Learning for OOD Detection (NeurIPS 2019)☆267Updated 4 years ago
- PyTorch implementation of ICLR 2018 paper Learn To Pay Attention (and some modification)☆168Updated 4 years ago
- Reliability diagrams visualize whether a classifier model needs calibration☆158Updated 3 years ago
- A Pytorch-Lightning implementation of self-supervised algorithms☆546Updated 3 years ago
- DTD implement on Imagenet pretrained model☆41Updated 5 years ago
- implements some LRP rules to get explanations for Resnets and Densenet-121, including batchnorm-Conv canonization and tensorbiased layers…☆25Updated last year
- Towards Automatic Concept-based Explanations☆161Updated last year
- This is the pytorch implementation of the paper - Axiomatic Attribution for Deep Networks.☆187Updated 3 years ago
- Code for paper: DivideMix: Learning with Noisy Labels as Semi-supervised Learning☆573Updated 5 years ago
- A machine learning benchmark of in-the-wild distribution shifts, with data loaders, evaluators, and default models.☆579Updated last year
- Domain adaptation made easy. Fully featured, modular, and customizable.☆386Updated 2 years ago
- A simple and effective method for detecting out-of-distribution images in neural networks.☆539Updated 4 years ago
- PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations by T. Chen et al.☆804Updated last year
- Code for reproducing Manifold Mixup results (ICML 2019)☆493Updated last year
- Unofficial PyTorch implementation of "FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence"☆792Updated 2 years ago