mtsang / neural-interaction-detectionLinks
Detecting Statistical Interactions from Neural Network Weights
☆49Updated 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☆63Updated 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
- Python code of Hilbert-Schmidt Independence Criterion☆88Updated 3 years ago
- Code for the Structural Agnostic Model (https://arxiv.org/abs/1803.04929)☆53Updated 4 years ago
- Causal Explanation (CXPlain) is a method for explaining the predictions of any machine-learning model.☆131Updated 5 years ago
- ☆119Updated 3 years ago
- Tools for training explainable models using attribution priors.☆124Updated 4 years ago
- MisGAN: Learning from Incomplete Data with GANs☆81Updated last year
- learning point processes by means of optimal transport and wasserstein distance☆54Updated 7 years ago
- Kernel Change-point Detection with Auxiliary Deep Generative Models (ICLR 2019 paper)☆59Updated 2 years ago
- ☆124Updated 4 years ago
- Implementation of the MIWAE method for deep generative modelling of incomplete data sets.☆41Updated last year
- TensorFlow implementation of the SOM-VAE model as described in https://arxiv.org/abs/1806.02199☆197Updated 2 years ago
- Implementation of the paper "Shapley Explanation Networks"☆88Updated 4 years ago
- Classifier Conditional Independence Test: A CI test that uses a binary classifier (XGBoost) for CI testing☆45Updated 2 years ago
- ☆40Updated 6 years ago
- This is the source code for Learning Deep Kernels for Non-Parametric Two-Sample Tests (ICML2020).☆50Updated 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
- Python/R library for feature selection in neural nets. ("Feature selection using Stochastic Gates", ICML 2020)☆108Updated 3 years ago
- Calibration library and code for the paper: Verified Uncertainty Calibration. Ananya Kumar, Percy Liang, Tengyu Ma. NeurIPS 2019 (Spotlig…☆151Updated 2 years ago
- ☆96Updated 2 years ago
- ☆32Updated 7 years ago
- A Pytorch implementation of missing data imputation using optimal transport.☆101Updated 4 years ago
- Code for ICLR 2020 paper: "Estimating counterfactual treatment outcomes over time through adversarially balanced representations" by I. B…☆61Updated last year
- Python implementation of the Invariant Causal Prediction (ICP) algorithm, from the 2015 paper "Causal inference using invariant predictio…☆23Updated last year
- ☆19Updated 5 years ago
- ☆43Updated 6 years ago
- Codebase for "Deep Learning for Case-based Reasoning through Prototypes: A Neural Network that Explains Its Predictions" (to appear in AA…☆76Updated 7 years ago
- An implementation of the Deep Neural Decision Forests in PyTorch☆165Updated 6 years ago