Alternatives and similar repositories for tcav_pytorch

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

• rakhimovv / tcav
  Quantitative Testing with Concept Activation Vectors in PyTorch
  ☆43Updated 6 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
• csinva / hierarchical-dnn-interpretations
  Using / reproducing ACD from the paper "Hierarchical interpretations for neural network predictions" 🧠 (ICLR 2019)
  ☆129Updated 4 years ago
• adebayoj / sanity_checks_saliency
  ☆113Updated 3 years ago
• dccastro / Morpho-MNIST
  Morpho-MNIST: Quantitative Assessment and Diagnostics for Representation Learning (http://jmlr.org/papers/v20/19-033.html)
  ☆91Updated last year
• TianhongDai / integrated-gradient-pytorch
  This is the pytorch implementation of the paper - Axiomatic Attribution for Deep Networks.
  ☆191Updated 3 years ago
• google-research-datasets / bam
  ☆51Updated 5 years ago
• HazyResearch / hidden-stratification
  Combating hidden stratification with GEORGE
  ☆64Updated 4 years ago
• microsoft / robustdg
  Toolkit for building machine learning models that generalize to unseen domains and are robust to privacy and other attacks.
  ☆175Updated 2 years ago
• amiratag / ACE
  Towards Automatic Concept-based Explanations
  ☆161Updated last year
• chihkuanyeh / saliency_evaluation
  Python implementation for evaluating explanations presented in "On the (In)fidelity and Sensitivity for Explanations" in NeurIPS 2019 for…
  ☆25Updated 3 years ago
• QingyuZhao / BR-Net
  ☆46Updated 5 years ago
• jfc43 / robust-ood-detection
  Robust Out-of-distribution Detection in Neural Networks
  ☆73Updated 3 years ago
• zzzace2000 / FIDO-saliency
  Explaining Image Classifiers by Counterfactual Generation
  ☆28Updated 3 years ago
• suinleelab / attributionpriors
  Tools for training explainable models using attribution priors.
  ☆125Updated 4 years ago
• google-research / mnist-c
  ☆70Updated 6 years ago
• BioroboticsLab / IBA
  Information Bottlenecks for Attribution
  ☆84Updated 3 years ago
• Kamnitsask / ssl_compact_clustering
  Semi-supervised learning via Compact Latent Space Clustering
  ☆50Updated 6 years ago
• ashafaei / OD-test
  OD-test: A Less Biased Evaluation of Out-of-Distribution (Outlier) Detectors (PyTorch)
  ☆62Updated 2 years ago
• dcmoyer / inv-rep
  Code for Invariant Rep. Without Adversaries (NIPS 2018)
  ☆35Updated 6 years ago
• fengliu90 / DK-for-TST
  This is the source code for Learning Deep Kernels for Non-Parametric Two-Sample Tests (ICML2020).
  ☆53Updated 4 years ago
• mzgubic / MINE
  Mutual Information Neural Estimator implemented in Tensorflow
  ☆47Updated 7 years ago
• emtiyaz / vadam
  Code for ICML 2018 paper on "Fast and Scalable Bayesian Deep Learning by Weight-Perturbation in Adam" by Khan, Nielsen, Tangkaratt, Lin, …
  ☆112Updated 7 years ago
• facebookresearch / jacobian_regularizer
  A pytorch implementation of our jacobian regularizer to encourage learning representations more robust to input perturbations.
  ☆129Updated 2 years ago
• torrvision / focal_calibration
  Code for the paper "Calibrating Deep Neural Networks using Focal Loss"
  ☆161Updated 2 years ago
• idiap / fullgrad-saliency
  Full-gradient saliency maps
  ☆212Updated 2 years ago
• kundajelab / abstention
  Algorithms for abstention, calibration and domain adaptation to label shift.
  ☆37Updated 5 years ago
• KaosEngineer / PriorNetworks
  ☆68Updated 6 years ago
• greydanus / excitationbp
  Visualizing how deep networks make decisions
  ☆66Updated 6 years ago
• jcpeterson / cifar-10h
  Original dataset release for CIFAR-10H
  ☆82Updated 5 years ago