☆134Aug 7, 2019Updated 7 years ago
Alternatives and similar repositories for MMD-critic
Users that are interested in MMD-critic are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- A PyTorch based implementation of MMD-critic☆16Nov 12, 2020Updated 5 years ago
- Comparison of gradient estimation techniques for black-box adversarial examples☆11Oct 31, 2018Updated 7 years ago
- MID (Mutual Information Dimension) for measuring statistical dependence between two random variables☆12Apr 21, 2013Updated 13 years ago
- Blind Justice Code for the paper "Blind Justice: Fairness with Encrypted Sensitive Attributes", ICML 2018☆14Mar 20, 2019Updated 7 years ago
- A collection of implementations of fair ML algorithms☆12Jan 7, 2018Updated 8 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- Comparing fairness-aware machine learning techniques.☆161Dec 26, 2022Updated 3 years ago
- NeurIPS 2016. Linear-time interpretable nonparametric two-sample test.☆64May 13, 2018Updated 8 years ago
- PyPI package for DualXDA for efficient data attribution and feature-level explanations of training data influence☆22Mar 6, 2026Updated 6 months ago
- Interpreting neural networks via the STREAK algorithm (streaming weak submodular maximization)☆23Oct 20, 2017Updated 8 years ago
- Code for our paper☆13Jul 26, 2022Updated 4 years ago
- Train a simple convnet on the MNIST dataset and evaluate the BALD acquisition function☆16Aug 7, 2017Updated 9 years ago
- Teaching Categories to Human Learners with Visual Explanations - CVPR 2018☆11Jun 21, 2022Updated 4 years ago
- Machine learning on electronic health records☆11Jan 29, 2018Updated 8 years ago
- Model Agnostic Counterfactual Explanations☆92Sep 30, 2022Updated 3 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Code for the TCAV ML interpretability project☆654Jul 22, 2026Updated last month
- Official repository for "Why are Saliency Maps Noisy? Cause of and Solution to Noisy Saliency Maps".☆34Sep 13, 2019Updated 6 years ago
- Python Accumulated Local Effects package☆172Feb 28, 2023Updated 3 years ago
- Code for "High-Precision Model-Agnostic Explanations" paper☆816Jul 19, 2022Updated 4 years ago
- Code for Fong and Vedaldi 2017, "Interpretable Explanations of Black Boxes by Meaningful Perturbation"☆32Sep 25, 2019Updated 6 years ago
- ☆16Jul 3, 2014Updated 12 years ago
- Code for Net2Vec: Quantifying and Explaining how Concepts are Encoded by Filters in Deep Neural Networks☆30Feb 8, 2018Updated 8 years ago
- Python implementation for evaluating explanations presented in "On the (In)fidelity and Sensitivity for Explanations" in NeurIPS 2019 for…☆25Feb 23, 2022Updated 4 years ago
- [ECCV 2018] code for Choose Your Neuron: Incorporating Domain Knowledge Through Neuron Importance☆57Aug 8, 2018Updated 8 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Distance Covariance Analysis☆15Feb 3, 2021Updated 5 years ago
- Algorithms for explaining machine learning models☆2,644Oct 17, 2025Updated 10 months ago
- A convenient package for the lazy torch programmer to leave all your :cuda() calls as-is when running on CPU☆14Apr 27, 2015Updated 11 years ago
- This repository provides details of the experimental code in the paper: Instance-based Counterfactual Explanations for Time Series Classi…☆22Jun 24, 2021Updated 5 years ago
- Repository for the paper "An Adversarial Approach for the Robust Classification of Pneumonia from Chest Radiographs"☆19Jan 14, 2020Updated 6 years ago
- Repository of code for the experiments for the ICLR submission "An Empirical Investigation of Catastrophic Forgetting in Gradient-Based N…☆69Apr 10, 2014Updated 12 years ago
- A unified framework of perturbation and gradient-based attribution methods for Deep Neural Networks interpretability. DeepExplain also in…☆759Aug 25, 2020Updated 6 years ago
- VectorDefense: Vectorization as a Defense to Adversarial Examples --->☆13May 3, 2018Updated 8 years ago
- ☆917Mar 19, 2023Updated 3 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- BayesGrad: Explaining Predictions of Graph Convolutional Networks☆62Jan 21, 2022Updated 4 years ago
- I collected some papers about interpretable CNN and reorganized them here.☆132Jul 8, 2018Updated 8 years ago
- This repository contains the implementation of SimplEx, a method to explain the latent representations of black-box models with the help …☆24Jan 31, 2023Updated 3 years ago
- ☆82Jun 14, 2020Updated 6 years ago
- 2019 NAACL NLI with Deep Learning tutorial site.☆31Jul 3, 2019Updated 7 years ago
- ☆138Aug 11, 2017Updated 9 years ago
- a list of awesome papers on deep model ompression and acceleration☆10Jan 29, 2018Updated 8 years ago