mtsang / neural-interaction-detectionLinks
Detecting Statistical Interactions from Neural Network Weights
☆48Updated 5 years ago
Alternatives and similar repositories for neural-interaction-detection
Users that are interested in neural-interaction-detection are comparing it to the libraries listed below
Sorting:
- Codebase for INVASE: Instance-wise Variable Selection - 2019 ICLR☆62Updated 5 years ago
- ☆91Updated 2 years ago
- Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.☆31Updated 5 years ago
- MisGAN: Learning from Incomplete Data with GANs☆82Updated last year
- Code for the Structural Agnostic Model (https://arxiv.org/abs/1803.04929)☆53Updated 4 years ago
- A Pytorch implementation of missing data imputation using optimal transport.☆102Updated 4 years ago
- Causal Explanation (CXPlain) is a method for explaining the predictions of any machine-learning model.☆131Updated 4 years ago
- Code for ICLR 2020 paper: "Estimating counterfactual treatment outcomes over time through adversarially balanced representations" by I. B…☆59Updated last year
- Python/R library for feature selection in neural nets. ("Feature selection using Stochastic Gates", ICML 2020)☆108Updated 3 years ago
- learning point processes by means of optimal transport and wasserstein distance☆54Updated 7 years ago
- Python code of Hilbert-Schmidt Independence Criterion☆87Updated 3 years ago
- Tools for training explainable models using attribution priors.☆124Updated 4 years ago
- ☆118Updated 3 years ago
- ☆124Updated 4 years ago
- CancelOut is a special layer for deep neural networks that can help identify a subset of relevant input features for streaming or static …☆26Updated 4 years ago
- Implementation of the paper "Shapley Explanation Networks"☆88Updated 4 years ago
- Kernel Change-point Detection with Auxiliary Deep Generative Models (ICLR 2019 paper)☆59Updated 2 years ago
- A lightweight implementation of removal-based explanations for ML models.☆58Updated 4 years ago
- Local explanations with uncertainty 💐!☆40Updated 2 years ago
- This is the source code for Learning Deep Kernels for Non-Parametric Two-Sample Tests (ICML2020).☆50Updated 4 years ago
- ☆40Updated 6 years ago
- Pytorch implementation of GRU-ODE-Bayes☆229Updated 3 years ago
- DeepPINK: reproducible feature selection in deep neural networks☆22Updated last year
- ☆93Updated 2 years ago
- Repository for code release of paper "Robust Variational Autoencoders for Outlier Detection and Repair of Mixed-Type Data" (AISTATS 2020)☆50Updated 5 years ago
- Feature Interaction Interpretability via Interaction Detection☆34Updated 2 years ago
- Code for "Interpolation-Prediction Networks for Irregularly Sampled Time Series", ICLR 2019.☆94Updated last year
- A Point Process Toolbox Based on PyTorch☆132Updated 4 years ago
- ☆32Updated 2 years ago
- Library of transfer learners and domain-adaptive classifiers.☆92Updated 6 years ago