wOOL / DNDT
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
- Adaptive Neural Trees☆152Updated 5 years ago
- PyTorch Implementation of "Distilling a Neural Network Into a Soft Decision Tree." Nicholas Frosst, Geoffrey Hinton., 2017.☆100Updated last year
- ☆203Updated 3 years ago
- Supporting code for the paper "Finding Influential Training Samples for Gradient Boosted Decision Trees"☆67Updated 11 months ago
- ☆125Updated 3 years ago
- An implementation of the Deep Neural Decision Forests in PyTorch☆161Updated 5 years ago
- pytorch implementation of "Distilling a Neural Network Into a Soft Decision Tree"☆296Updated 6 years ago
- Learning error bars for neural network predictions☆70Updated 5 years ago
- An AutoML pipeline selection system to quickly select a promising pipeline for a new dataset.☆82Updated 3 years ago
- Distillation of Neural Network Into a Soft Decision Tree☆65Updated 5 years ago
- Implementing Bayes by Backprop☆183Updated 6 years ago
- Causal Explanation (CXPlain) is a method for explaining the predictions of any machine-learning model.☆131Updated 4 years ago
- A Python package for building Bayesian models with TensorFlow or PyTorch☆174Updated 2 years ago
- BOAH: Bayesian Optimization & Analysis of Hyperparameters☆67Updated 4 years ago
- ☆26Updated 5 years ago
- Code Repo for "Subspace Inference for Bayesian Deep Learning"☆82Updated 10 months ago
- Gradient based hyperparameter optimization & meta-learning package for TensorFlow☆188Updated 5 years ago
- Python implementation of GLN in different frameworks☆98Updated 4 years ago
- Codebase for INVASE: Instance-wise Variable Selection - 2019 ICLR☆60Updated 4 years ago
- Fast Differentiable Forest lib with the advantages of both decision trees and neural networks☆78Updated 3 years ago
- Pitfalls of In-Domain Uncertainty Estimation and Ensembling in Deep Learning, ICLR 2020☆235Updated 2 years ago
- Data and code related to the paper "Probabilistic matrix factorization for automated machine learning", NIPS, 2018.☆39Updated 3 years ago
- Hypergradient descent☆146Updated 11 months ago
- Implementations of Quantile Regression☆28Updated 6 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
- Detecting Statistical Interactions from Neural Network Weights☆48Updated 5 years ago
- MLSS2019 Tutorial on Bayesian Deep Learning☆91Updated 5 years ago
- Code for Concrete Dropout as presented in https://arxiv.org/abs/1705.07832☆251Updated 6 years ago
- This is the official implementation for the paper 'AutoEncoder by Forest'☆75Updated 6 years ago
- Dilated RNNs in pytorch☆212Updated 5 years ago