jingxil / Neural-Decision-ForestsLinks
An implementation of the Deep Neural Decision Forests in PyTorch
☆165Updated 6 years ago
Alternatives and similar repositories for Neural-Decision-Forests
Users that are interested in Neural-Decision-Forests are comparing it to the libraries listed below
Sorting:
- Adaptive Neural Trees☆155Updated 6 years ago
- Deep Neural Decision Trees☆163Updated 3 years ago
- This is the official implementation for the paper 'AutoEncoder by Forest'☆76Updated 7 years ago
- Causal Explanation (CXPlain) is a method for explaining the predictions of any machine-learning model.☆132Updated 5 years ago
- This repository contains the source code and data for reproducing results of Deep Continuous Clustering paper☆214Updated 4 years ago
- This repository tries to provide unsupervised deep learning models with Pytorch☆90Updated 7 years ago
- Supporting code for the paper "Finding Influential Training Samples for Gradient Boosted Decision Trees"☆68Updated last year
- Distance Metric Learning Algorithms for Python☆173Updated 4 years ago
- pytorch implementation of "Distilling a Neural Network Into a Soft Decision Tree"☆301Updated 6 years ago
- Tensorflow implementation of a Tree☆35Updated 6 years ago
- PyTorch implementation of Neural Processes☆89Updated 6 years ago
- Detecting Statistical Interactions from Neural Network Weights☆49Updated 5 years ago
- Gradient based hyperparameter optimization & meta-learning package for TensorFlow☆190Updated 5 years ago
- A Python implementation of Kernel Mean Matching data reweighting algorithm☆33Updated 9 years ago
- [Under development]- Implementation of various methods for dimensionality reduction and spectral clustering implemented with Pytorch☆163Updated 8 years ago
- tensorflow implementation of the Wasserstein (aka optimal transport) distance☆72Updated 4 years ago
- Pytorch Implemention of paper "Deep Spectral Clustering Learning", the state of the art of the Deep Metric Learning Paper☆93Updated 7 years ago
- ☆124Updated 4 years ago
- TensorFlow implementation of the SOM-VAE model as described in https://arxiv.org/abs/1806.02199☆197Updated 2 years ago
- Implementation and evaluation of different approaches to get uncertainty in neural networks☆141Updated 7 years ago
- Active Learning on Image Data using Bayesian ConvNets☆139Updated 8 years ago
- A deep clustering algorithm. Code to reproduce results for our paper N2D: (Not Too) Deep Clustering via Clustering the Local Manifold of …☆138Updated last year
- Implementation of Ladder Network in PyTorch.☆45Updated 8 years ago
- Implementation of the Sliced Wasserstein Autoencoders☆90Updated 7 years ago
- Python implementation of Robust Continuous Clustering☆106Updated 6 years ago
- Keras implementation for DASP: Deep Approximate Shapley Propagation (ICML 2019)☆61Updated 6 years ago
- Dropout as Regularization and Bayesian Approximation☆58Updated 6 years ago
- Deep convolutional gaussian processes.☆80Updated 6 years ago
- ☆80Updated 3 years ago
- My implementation of the paper "Simple and Scalable Predictive Uncertainty estimation using Deep Ensembles"☆139Updated 7 years ago