wOOL / DNDTLinks
Deep Neural Decision Trees
☆161Updated 3 years ago
Alternatives and similar repositories for DNDT
Users that are interested in DNDT are comparing it to the libraries listed below
Sorting:
- Adaptive Neural Trees☆155Updated 6 years ago
- ☆124Updated 4 years ago
- pytorch implementation of "Distilling a Neural Network Into a Soft Decision Tree"☆301Updated 6 years ago
- An implementation of the Deep Neural Decision Forests in PyTorch☆165Updated 6 years ago
- Causal Explanation (CXPlain) is a method for explaining the predictions of any machine-learning model.☆131Updated 5 years ago
- Supporting code for the paper "Finding Influential Training Samples for Gradient Boosted Decision Trees"☆68Updated last year
- Feature Interaction Interpretability via Interaction Detection☆35Updated 2 years ago
- PyTorch Implementation of "Distilling a Neural Network Into a Soft Decision Tree." Nicholas Frosst, Geoffrey Hinton., 2017.☆103Updated last year
- Codebase for INVASE: Instance-wise Variable Selection - 2019 ICLR☆63Updated 5 years ago
- ☆205Updated 3 years ago
- Learning error bars for neural network predictions☆71Updated 5 years ago
- Python toolbox for sampling Determinantal Point Processes☆231Updated last year
- ☆26Updated 6 years ago
- Gradient based hyperparameter optimization & meta-learning package for TensorFlow☆189Updated 5 years ago
- Python implementation of GLN in different frameworks☆97Updated 5 years ago
- Some examples of using PyTorch for tabular data☆67Updated 5 years ago
- MLSS2019 Tutorial on Bayesian Deep Learning☆93Updated 5 years ago
- ☆91Updated 2 years ago
- Fast Differentiable Forest lib with the advantages of both decision trees and neural networks☆78Updated 3 years ago
- Tensorflow implementation of a Tree☆36Updated 6 years ago
- An AutoML pipeline selection system to quickly select a promising pipeline for a new dataset.☆84Updated 3 years ago
- An example of using a discriminator to correct for a difference in the distributions between the training and test data.☆67Updated 8 years ago
- Code Repo for "Subspace Inference for Bayesian Deep Learning"☆83Updated last year
- Distance Metric Learning Algorithms for Python☆173Updated 4 years ago
- Distillation of Neural Network Into a Soft Decision Tree☆65Updated 5 years ago
- a python implementation of various versions of the information bottleneck, including automated parameter searching☆128Updated 5 years ago
- TensorFlow implementation of the SOM-VAE model as described in https://arxiv.org/abs/1806.02199☆197Updated 2 years ago
- Bayesian neural network using Pyro and PyTorch on MNIST dataset☆315Updated 6 years ago
- BOAH: Bayesian Optimization & Analysis of Hyperparameters☆67Updated 5 years ago
- Keras implementation for DASP: Deep Approximate Shapley Propagation (ICML 2019)☆61Updated 6 years ago