jingxil / Neural-Decision-ForestsLinks
An implementation of the Deep Neural Decision Forests in PyTorch
☆163Updated 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
- This is the official implementation for the paper 'AutoEncoder by Forest'☆75Updated 7 years ago
- Deep Neural Decision Trees☆162Updated 3 years ago
- Causal Explanation (CXPlain) is a method for explaining the predictions of any machine-learning model.☆131Updated 4 years ago
- This repository contains the source code and data for reproducing results of Deep Continuous Clustering paper☆214Updated 4 years ago
- Active Learning on Image Data using Bayesian ConvNets☆138Updated 8 years ago
- This repository tries to provide unsupervised deep learning models with Pytorch☆90Updated 7 years ago
- Gradient based hyperparameter optimization & meta-learning package for TensorFlow☆188Updated 5 years ago
- A Python implementation of Kernel Mean Matching data reweighting algorithm☆33Updated 9 years ago
- Distance Metric Learning Algorithms for Python☆173Updated 4 years ago
- Supporting code for the paper "Finding Influential Training Samples for Gradient Boosted Decision Trees"☆68Updated last year
- PyTorch implementation of Neural Processes☆89Updated 6 years ago
- ☆124Updated 4 years ago
- Multi-Task Learning Framework on PyTorch. State-of-the-art methods are implemented to effectively train models on multiple tasks.☆149Updated 6 years ago
- pytorch implementation of "Distilling a Neural Network Into a Soft Decision Tree"☆300Updated 6 years ago
- Code for Concrete Dropout as presented in https://arxiv.org/abs/1705.07832☆252Updated 6 years ago
- Python implementation of Robust Continuous Clustering☆107Updated 6 years ago
- Learning error bars for neural network predictions☆71Updated 5 years ago
- Implementation and evaluation of different approaches to get uncertainty in neural networks☆140Updated 7 years ago
- Deep convolutional gaussian processes.☆80Updated 5 years ago
- Code for Deep Bayesian Active Learning (ICML 2017)☆112Updated 7 years ago
- My implementation of the paper "Simple and Scalable Predictive Uncertainty estimation using Deep Ensembles"☆138Updated 7 years ago
- Kernel Change-point Detection with Auxiliary Deep Generative Models (ICLR 2019 paper)☆59Updated 2 years ago
- [Under development]- Implementation of various methods for dimensionality reduction and spectral clustering implemented with Pytorch☆163Updated 7 years ago
- Keras implementation for DASP: Deep Approximate Shapley Propagation (ICML 2019)☆61Updated 6 years ago
- Implementation of Ladder Network in PyTorch.☆45Updated 7 years ago
- Calibration of Convolutional Neural Networks☆168Updated 2 years ago
- Practical sessions for the Optimal Transport and Machine learning course at DS3 2018☆90Updated 7 years ago
- tensorflow implementation of the Wasserstein (aka optimal transport) distance☆72Updated 4 years ago
- TensorFlow implementation of the SOM-VAE model as described in https://arxiv.org/abs/1806.02199☆197Updated 2 years ago