abarthakur / trepan_pythonLinks
An implementation of the TREPAN algorithm in python. TREPAN extracts a decision tree from an ANN using a sampling method.
☆19Updated 6 years ago
Alternatives and similar repositories for trepan_python
Users that are interested in trepan_python are comparing it to the libraries listed below
Sorting:
- Multiple imputation utilising denoising autoencoder for approximate Bayesian inference☆122Updated 5 years ago
- Application of the LIME algorithm by Marco Tulio Ribeiro, Sameer Singh, Carlos Guestrin to the domain of time series classification☆97Updated last year
- Deep Embedded Self-Organizing Map: Joint Representation Learning and Self-Organization☆100Updated last year
- ☆12Updated 4 years ago
- Code and documentation for experiments in the TreeExplainer paper☆189Updated 6 years ago
- Codebase for "Clairvoyance: a Unified, End-to-End AutoML Pipeline for Medical Time Series"☆13Updated 5 years ago
- Meta-Feature Extractor☆30Updated 3 years ago
- A practical tool for Maximal Information Coefficient (MIC) analysis☆138Updated last year
- Online Time Series Anomaly Detectors☆29Updated 3 years ago
- A Python package which implements several boosting algorithms with different combinations of base learners, optimization algorithms, and …☆63Updated 4 years ago
- Implementation of the Rotation Forest by Rodriques et al. 2006☆28Updated last year
- Learning hyperparameters for unsupervised anomaly detection☆38Updated 6 years ago
- Generalized Optimal Sparse Decision Trees☆70Updated last year
- Extended Complexity Library in R☆58Updated 5 years ago
- TensorFlow implementation of the SOM-VAE model as described in https://arxiv.org/abs/1806.02199☆197Updated 2 years ago
- An automated machine learning tool aimed to facilitate AutoML research.☆102Updated last year
- Python implementation of iterative-random-forests☆68Updated 2 years ago
- An R package for computing asymmetric Shapley values to assess causality in any trained machine learning model☆74Updated 5 years ago
- A Python package for unwrapping ReLU DNNs☆68Updated last year
- Surrogate Assisted Feature Extraction☆37Updated 4 years ago
- An extension of CatBoost to probabilistic modelling☆148Updated 2 years ago
- Generalized additive model with pairwise interactions☆68Updated last year
- A framework to infer causality on a pair of time series of real numbers based on Variable-lag Granger causality and transfer entropy.☆57Updated last year
- Code associated with ACM-CHIL 21 paper 'T-DPSOM - An Interpretable Clustering Method for Unsupervised Learning of Patient Health States'☆72Updated 4 years ago
- ☆50Updated 7 years ago
- Rule Extraction Methods for Interactive eXplainability☆48Updated 3 years ago
- Tutorial on Bayesian tests for Machine Learning☆78Updated 5 years ago
- ☆55Updated 8 years ago
- Optimal Sparse Decision Trees☆106Updated 2 years ago
- A Python package for building Bayesian models with TensorFlow or PyTorch☆176Updated 3 years ago