Alternatives and similar repositories for pytorch-explain-black-box

Users that are interested in pytorch-explain-black-box are comparing it to the libraries listed below

• pkmr06 / pytorch-smoothgrad
  SmoothGrad implementation in PyTorch
  ☆172Updated 4 years ago
• yulongwang12 / visual-attribution
  Pytorch Implementation of recent visual attribution methods for model interpretability
  ☆146Updated 5 years ago
• brain-research / realistic-ssl-evaluation
  Open source release of the evaluation benchmark suite described in "Realistic Evaluation of Deep Semi-Supervised Learning Algorithms"
  ☆460Updated 6 years ago
• ShiyuLiang / odin-pytorch
  Principled Detection of Out-of-Distribution Examples in Neural Networks
  ☆202Updated 8 years ago
• lmzintgraf / DeepVis-PredDiff
  Visualizing Deep Neural Network Decisions: Prediction Difference Analysis
  ☆121Updated 8 years ago
• CSAILVision / NetDissect
  Network Dissection http://netdissect.csail.mit.edu for quantifying interpretability of deep CNNs.
  ☆453Updated 7 years ago
• pluskid / fitting-random-labels
  Example code for the paper "Understanding deep learning requires rethinking generalization"
  ☆178Updated 5 years ago
• wielandbrendel / bag-of-local-features-models
  Pretrained bag-of-local-features neural networks
  ☆314Updated 6 years ago
• zqs1022 / interpretableCNN
  ☆226Updated 5 years ago
• CSAILVision / NetDissect-Lite
  Light version of Network Dissection for Quantifying Interpretability of Networks
  ☆220Updated 6 years ago
• google / revisiting-self-supervised
  ☆353Updated 5 years ago
• modestyachts / CIFAR-10.1
  Release of CIFAR-10.1, a new test set for CIFAR-10.
  ☆225Updated 5 years ago
• gaohuang / SnapshotEnsemble
  Snapshot Ensembles in Torch (Snapshot Ensembles: Train 1, Get M for Free)
  ☆188Updated 8 years ago
• liupeng3425 / interpretable-research
  I collected some papers about interpretable CNN and reorganized them here.
  ☆132Updated 7 years ago
• facebookresearch / TorchRay
  Understanding Deep Networks via Extremal Perturbations and Smooth Masks
  ☆348Updated 5 years ago
• lanpa / tensorboard-pytorch-examples
  A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
  ☆85Updated 7 years ago
• giorgiop / loss-correction
  Robust loss functions for deep neural networks (CVPR 2017)
  ☆92Updated 5 years ago
• Cysu / noisy_label
  Code for the CVPR15 paper "Learning from Massive Noisy Labeled Data for Image Classification"
  ☆119Updated 6 years ago
• greydanus / excitationbp
  Visualizing how deep networks make decisions
  ☆66Updated 6 years ago
• leelabcnbc / cnnvis-pytorch
  visualization of CNN in PyTorch
  ☆155Updated 2 years ago
• CSAILVision / IBD
  IBD: Interpretable Basis Decomposition for Visual Explanation
  ☆52Updated 6 years ago
• ashafaei / OD-test
  OD-test: A Less Biased Evaluation of Out-of-Distribution (Outlier) Detectors (PyTorch)
  ☆62Updated 2 years ago
• RuiShu / dirt-t
  A DIRT-T Approach to Unsupervised Domain Adaptation (ICLR 2018)
  ☆176Updated 7 years ago
• bhpfelix / Variational-Autoencoder-PyTorch
  Variational Autoencoder implemented with PyTorch, Trained over CelebA Dataset
  ☆171Updated 8 years ago
• cdoersch / deepcontext
  Author's implementation of 'Unsupervised Visual Representation Learning by Context Prediction'
  ☆118Updated 8 years ago
• BayesWatch / cinic-10
  A drop-in replacement for CIFAR-10.
  ☆246Updated 4 years ago
• dongyp13 / Robust-and-Explainable-Machine-Learning
  Related materials for robust and explainable machine learning
  ☆48Updated 7 years ago
• jsikyoon / adv_attack_capsnet
  Tensorflow Implementation of Adversarial Attack to Capsule Networks
  ☆173Updated 8 years ago
• utkuozbulak / pytorch-cnn-adversarial-attacks
  Pytorch implementation of convolutional neural network adversarial attack techniques
  ☆362Updated 6 years ago
• dyhan0920 / PyramidNet-PyTorch
  A PyTorch implementation for PyramidNets (Deep Pyramidal Residual Networks, https://arxiv.org/abs/1610.02915)
  ☆274Updated 5 years ago