kingfengji / eForestLinks
This is the official implementation for the paper 'AutoEncoder by Forest'
☆75Updated 7 years ago
Alternatives and similar repositories for eForest
Users that are interested in eForest are comparing it to the libraries listed below
Sorting:
- An implementation of the Deep Neural Decision Forests in PyTorch☆164Updated 6 years ago
- This is the official clone for the implementation of the NIPS18 paper Multi-Layered Gradient Boosting Decision Trees (mGBDT) .☆104Updated 6 years ago
- Supporting code for the paper "Finding Influential Training Samples for Gradient Boosted Decision Trees"☆68Updated last year
- ☆74Updated 6 years ago
- Tensorflow implementation of a Tree☆36Updated 6 years ago
- Distance Metric Learning Algorithms for Python☆173Updated 4 years ago
- Adaptive Neural Trees☆155Updated 6 years ago
- eForest: Reversible mapping between high-dimensional data and path rule identifiers using trees embedding☆23Updated 4 years ago
- Python implementation of Robust Continuous Clustering☆106Updated 6 years ago
- An AutoML pipeline selection system to quickly select a promising pipeline for a new dataset.☆84Updated 3 years ago
- Reliability diagrams, Platt's scaling, isotonic regression☆76Updated 11 years ago
- Deep Embedded Clustering with Data Augmentation (DEC-DA). Performance on MNIST (acc=0.985, nmi=0.960).☆56Updated 6 years ago
- Fast Differentiable Forest lib with the advantages of both decision trees and neural networks☆78Updated 3 years ago
- Implementation of Symmetric SNE and t-SNE in numpy and python☆76Updated 4 years ago
- Implementation of Bayesian NNs in Pytorch (https://arxiv.org/pdf/1703.02910.pdf) (With some help from https://github.com/Riashat/Deep-Ba…☆31Updated 3 years ago
- PyMTL (Python library for Multi-task learning) is a Python module implementing a Multi-task learning framework built on top of scikit-lea…☆44Updated 11 years ago
- Data and code related to the paper "Probabilistic matrix factorization for automated machine learning", NIPS, 2018.☆40Updated 3 years ago
- Deep Neural Decision Trees☆162Updated 3 years ago
- This repository contains the source code and data for reproducing results of Deep Continuous Clustering paper☆214Updated 4 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
- Cost-Sensitive Support Vector Machines☆33Updated 9 years ago
- Efficient Hyperparameter Optimization of Deep Learning Algorithms Using Deterministic RBF Surrogates☆115Updated 8 years ago
- [Under development]- Implementation of various methods for dimensionality reduction and spectral clustering implemented with Pytorch☆163Updated 7 years ago
- AutoLearn, a domain independent regression-based feature learning algorithm.☆30Updated 6 years ago
- Development Repository for GPU-accelerated GBDT training☆60Updated 8 years ago
- Code for Deep Bayesian Active Learning (ICML 2017)☆112Updated 7 years ago
- Static (Python) and streaming (C++) implementations of xStream (KDD 2018).☆31Updated 7 years ago
- Denoising Adversairal Autoencoders☆40Updated 8 years ago
- Semi supervised learning on graphs☆35Updated 7 years ago
- Deep Embedding Clustering in Keras☆132Updated 8 years ago