mtsang / neural-interaction-detection

Related projects ⓘ

Alternatives and complementary repositories for neural-interaction-detection

• ElementAI / causal_discovery_toolbox
  Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.
  ☆29Updated 5 years ago
• jsyoon0823 / INVASE
  Codebase for INVASE: Instance-wise Variable Selection - 2019 ICLR
  ☆60Updated 4 years ago
• probabilistic-learning / HI-VAE
  ☆87Updated last year
• d909b / cxplain
  Causal Explanation (CXPlain) is a method for explaining the predictions of any machine-learning model.
  ☆129Updated 4 years ago
• dylan-slack / Modeling-Uncertainty-Local-Explainability
  Local explanations with uncertainty 💐!
  ☆39Updated last year
• Jianbo-Lab / L2X
  ☆124Updated 3 years ago
• diviyank / SAM
  Code for the Structural Agnostic Model (https://arxiv.org/abs/1803.04929)
  ☆53Updated 3 years ago
• amber0309 / HSIC
  Python code of Hilbert-Schmidt Independence Criterion
  ☆80Updated 2 years ago
• steveli / misgan
  MisGAN: Learning from Incomplete Data with GANs
  ☆80Updated last year
• xiaoshuai09 / Wasserstein-Learning-For-Point-Process
  learning point processes by means of optimal transport and wasserstein distance
  ☆54Updated 6 years ago
• msesia / deepknockoffs
  Approximate knockoffs and model-free variable selection.
  ☆51Updated 3 years ago
• lstruski / Processing-of-missing-data-by-neural-networks
  ☆41Updated 5 years ago
• babylonhealth / neuralTPPs
  ☆28Updated last year
• sfme / RVAE_MixedTypes
  Repository for code release of paper "Robust Variational Autoencoders for Outlier Detection and Repair of Mixed-Type Data" (AISTATS 2020)
  ☆50Updated 4 years ago
• OscarcarLi / PrototypeDL
  Codebase for "Deep Learning for Case-based Reasoning through Prototypes: A Neural Network that Explains Its Predictions" (to appear in AA…
  ☆73Updated 6 years ago
• mtsang / interaction_interpretability
  Feature Interaction Interpretability via Interaction Detection
  ☆34Updated last year
• dmelis / SENN
  Self-Explaining Neural Networks
  ☆13Updated last year
• facebookresearch / SingleModelUncertainty
  Learning error bars for neural network predictions
  ☆68Updated 4 years ago
• zzzace2000 / nodegam
  Code for "NODE-GAM: Neural Generalized Additive Model for Interpretable Deep Learning"
  ☆43Updated 2 years ago
• ermongroup / graphite
  Code for Graphite iterative graph generation
  ☆58Updated 5 years ago
• tvayer / FGW
  Code for Optimal Transport for structured data with application on graphs
  ☆98Updated last year
• yhenon / pyrcc
  Python implementation of Robust Continuous Clustering
  ☆101Updated 5 years ago
• ratschlab / dpsom
  Code associated with ACM-CHIL 21 paper 'T-DPSOM - An Interpretable Clustering Method for Unsupervised Learning of Patient Health States'
  ☆66Updated 3 years ago
• OATML / ucate
  Uncertainty in Conditional Average Treatment Effect Estimation
  ☆27Updated 3 years ago
• inouye-lab / ShapleyExplanationNetworks
  Implementation of the paper "Shapley Explanation Networks"
  ☆85Updated 3 years ago
• sjblim / rmsn_nips_2018
  ☆37Updated 5 years ago
• rymc / n2d
  A deep clustering algorithm. Code to reproduce results for our paper N2D: (Not Too) Deep Clustering via Clustering the Local Manifold of …
  ☆128Updated 11 months ago
• eelxpeng / ltvae-release
  ☆21Updated 5 years ago
• ratschlab / SOM-VAE
  TensorFlow implementation of the SOM-VAE model as described in https://arxiv.org/abs/1806.02199
  ☆190Updated last year
• runopti / stg
  Python/R library for feature selection in neural nets. ("Feature selection using Stochastic Gates", ICML 2020)
  ☆99Updated 2 years ago