kimhc6028 / soft-decision-tree
pytorch implementation of "Distilling a Neural Network Into a Soft Decision Tree"
☆291Updated 6 years ago
Alternatives and similar repositories for soft-decision-tree:
Users that are interested in soft-decision-tree are comparing it to the libraries listed below
- Adaptive Neural Trees☆151Updated 5 years ago
- ☆124Updated 3 years ago
- Code for experiments regarding importance sampling for training neural networks☆324Updated 3 years ago
- Deep Neural Decision Trees☆161Updated 2 years ago
- I collected some papers about interpretable CNN and reorganized them here.☆128Updated 6 years ago
- Dilated RNNs in pytorch☆212Updated 5 years ago
- Making decision trees competitive with neural networks on CIFAR10, CIFAR100, TinyImagenet200, Imagenet☆611Updated last year
- Code for AAAI 2018 accepted paper: "Beyond Sparsity: Tree Regularization of Deep Models for Interpretability"☆79Updated 7 years ago
- Open source release of the evaluation benchmark suite described in "Realistic Evaluation of Deep Semi-Supervised Learning Algorithms"☆460Updated 5 years ago
- Implementation of Meta-Learning with Latent Embedding Optimization☆305Updated 5 years ago
- PyTorch Implementation of "Distilling a Neural Network Into a Soft Decision Tree." Nicholas Frosst, Geoffrey Hinton., 2017.☆97Updated 10 months ago
- Gradient based hyperparameter optimization & meta-learning package for TensorFlow☆188Updated 4 years ago
- Tensorflow implementation for DilatedRNN☆347Updated 7 years ago
- Code for "Understanding and Improving Interpolation in Autoencoders via an Adversarial Regularizer"☆244Updated 6 years ago
- Example code for the paper "Understanding deep learning requires rethinking generalization"☆176Updated 4 years ago
- [ICLR'19] Trellis Networks for Sequence Modeling☆472Updated 5 years ago
- Python package facilitating the use of Bayesian Deep Learning methods with Variational Inference for PyTorch☆359Updated 5 years ago
- categorical variational autoencoder using the Gumbel-Softmax estimator☆429Updated 7 years ago
- Code accompanying the paper Recurrent Relational Networks for Complex Relational Reasoning https://arxiv.org/abs/1711.08028☆204Updated 2 years ago
- Population Based Training (in PyTorch with sqlite3). Status: Unsupported☆165Updated 6 years ago
- Code for Concrete Dropout as presented in https://arxiv.org/abs/1705.07832☆248Updated 6 years ago
- PyTorch implementation of Interpretable Explanations of Black Boxes by Meaningful Perturbation☆334Updated 3 years ago
- A PyTorch implementation of Learning to learn by gradient descent by gradient descent☆312Updated 6 years ago
- Principled Detection of Out-of-Distribution Examples in Neural Networks☆201Updated 7 years ago
- An implementation of the Deep Neural Decision Forests in PyTorch☆156Updated 5 years ago
- Tuning hyperparams fast with Hyperband☆592Updated 6 years ago
- A PyTorch library for two-sample tests☆237Updated last year
- This repository contains the source code and data for reproducing results of Deep Continuous Clustering paper☆211Updated 3 years ago
- A curated list of resources dedicated to bayesian deep learning☆413Updated 7 years ago
- Neural Architecture Search with Bayesian Optimisation and Optimal Transport☆133Updated 5 years ago