NeurIPS 2016. Linear-time interpretable nonparametric two-sample test.
☆64May 13, 2018Updated 7 years ago
Alternatives and similar repositories for interpretable-test
Users that are interested in interpretable-test are comparing it to the libraries listed below
Sorting:
- NeurIPS 2017 best paper. An interpretable linear-time kernel goodness-of-fit test.☆67Jul 11, 2019Updated 6 years ago
- Learning kernels to maximize the power of MMD tests☆210Jan 11, 2018Updated 8 years ago
- Adversarial Multiclass Classification: A Risk Minimization Perspective☆28Feb 7, 2020Updated 6 years ago
- Code for paper "Fast ε-free Inference of Simulation Models with Bayesian Conditional Density Estimation"☆32Sep 12, 2019Updated 6 years ago
- This is the source code for Learning Deep Kernels for Non-Parametric Two-Sample Tests (ICML2020).☆53Jun 21, 2021Updated 4 years ago
- ☆11Sep 20, 2016Updated 9 years ago
- Reproducibility code for MMD Aggregated Two-Sample Test, by Schrab, Kim, Albert, Laurent, Guedj and Gretton: https://arxiv.org/abs/2110.1…☆17May 31, 2024Updated last year
- Implicit generative models and related stuff based on the MMD, in PyTorch☆16Sep 24, 2020Updated 5 years ago
- Code for paper "Full-Capacity Unitary Recurrent Neural Networks"☆54Apr 28, 2017Updated 8 years ago
- ICML 2017. Kernel-based adaptive linear-time independence test.☆18Mar 17, 2022Updated 3 years ago
- Various estimators of the infinite dimensional exponential family model☆16May 17, 2017Updated 8 years ago
- An iterative neural autoregressive distribution estimator (NADE-K)☆26Oct 29, 2014Updated 11 years ago
- Conformal Prediction library for Orange3☆10May 24, 2019Updated 6 years ago
- Architecture learning for CNN's☆37Mar 30, 2017Updated 8 years ago
- ☆22May 16, 2022Updated 3 years ago
- ☆29Jun 18, 2021Updated 4 years ago
- A machine learning library focused on deep learning☆11Jun 2, 2015Updated 10 years ago
- ☆13Aug 7, 2023Updated 2 years ago
- (Unofficial) Tensorflow implementation of Adversarial Latent Autoencoder (ALAE, Pidhorskyi et al., 2020)☆11Sep 8, 2020Updated 5 years ago
- The holdout randomization test: feature selection using black box predictive models☆22Mar 19, 2021Updated 4 years ago
- 🏃 Implementation of Using Fast Weights to Attend to the Recent Past.☆270Feb 20, 2019Updated 7 years ago
- Code for the paper "A Kernel Test of Goodness of Fit" by Kacper Chwialkowski, Heiko Strathmann, Arthur Gretton☆25Mar 25, 2016Updated 9 years ago
- LibCP -- A Library for Conformal Prediction☆13Feb 26, 2015Updated 11 years ago
- A new type of SBM☆18Nov 18, 2019Updated 6 years ago
- Cython implementation of k-MC2 and AFK-MC2 seeding☆207Oct 11, 2021Updated 4 years ago
- Determinantal Point Processes in Julia☆12Feb 20, 2020Updated 6 years ago
- Source code for paper Mroueh, Sercu, Rigotti, Padhi, dos Santos, "Sobolev Independence Criterion", NeurIPS 2019☆14Jun 17, 2024Updated last year
- This packages provides a simple python implementation of Invariant Causal Prediction (ICP)☆13Mar 22, 2024Updated last year
- ENHANCE: Accurate denoising of single-cell RNA-Seq data (Python implementation)☆14Jun 5, 2019Updated 6 years ago
- Generative moment matching networks☆150Jul 11, 2016Updated 9 years ago
- R Package 📦 of useful helper functions☆14Mar 6, 2024Updated last year
- Perform bayesian distribution regression☆13Mar 19, 2018Updated 7 years ago
- Code to reproduce experiments appearing in the academic paper Lost Relatives of the Gumbel Trick☆17Jun 14, 2017Updated 8 years ago
- The better version of Ubuntu Dialogue Corpus☆16Feb 20, 2016Updated 10 years ago
- ☆134Aug 7, 2019Updated 6 years ago
- A generic Monte Carlo method based on the Gumbel-Max trick.☆32May 31, 2016Updated 9 years ago
- Phased LSTM☆301May 28, 2021Updated 4 years ago
- tGPLVM: A Nonparametric, Generative Model for Manifold Learning with scRNA-seq experimental data☆17Jun 4, 2019Updated 6 years ago
- Code repository for the AAAI 2022 paper "Do Feature Attribution Methods Correctly Attribute Features?"☆21Apr 30, 2022Updated 3 years ago