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:
- This is the official clone for the implementation of the NIPS18 paper Multi-Layered Gradient Boosting Decision Trees (mGBDT) .☆104Updated 6 years ago
- An implementation of the Deep Neural Decision Forests in PyTorch☆165Updated 6 years ago
- eForest: Reversible mapping between high-dimensional data and path rule identifiers using trees embedding☆24Updated 5 years ago
- Distance Metric Learning Algorithms for Python☆173Updated 4 years ago
- ☆74Updated 6 years ago
- Adaptive Neural Trees☆155Updated 6 years ago
- Tensorflow implementation of a Tree☆35Updated 6 years ago
- Reliability diagrams, Platt's scaling, isotonic regression☆76Updated 11 years ago
- Supporting code for the paper "Finding Influential Training Samples for Gradient Boosted Decision Trees"☆68Updated last year
- Implementation of Symmetric SNE and t-SNE in numpy and python☆75Updated 4 years ago
- Deep Neural Decision Trees☆163Updated 3 years ago
- Python implementation of Robust Continuous Clustering☆106Updated 6 years ago
- This repository contains the source code and data for reproducing results of Deep Continuous Clustering paper☆214Updated 4 years ago
- Deep Embedded Clustering with Data Augmentation (DEC-DA). Performance on MNIST (acc=0.985, nmi=0.960).☆57Updated 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
- Code for Deep Bayesian Active Learning (ICML 2017)☆112Updated 7 years ago
- Data and code related to the paper "Probabilistic matrix factorization for automated machine learning", NIPS, 2018.☆40Updated 3 years ago
- An AutoML pipeline selection system to quickly select a promising pipeline for a new dataset.☆84Updated 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 12 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 4 years ago
- Cost-Sensitive Support Vector Machines☆33Updated 9 years ago
- Deep Embedding Clustering in Keras☆132Updated 8 years ago
- Implementation of Robust PCA and Robust Deep Autoencoder over Time Series☆14Updated 5 years ago
- Fast Differentiable Forest lib with the advantages of both decision trees and neural networks☆79Updated 3 years ago
- [Under development]- Implementation of various methods for dimensionality reduction and spectral clustering implemented with Pytorch☆163Updated 8 years ago
- Static (Python) and streaming (C++) implementations of xStream (KDD 2018).☆31Updated 7 years ago
- pytorch implementation of "Distilling a Neural Network Into a Soft Decision Tree"☆301Updated 6 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
- GRACE: Generating Concise and Informative Contrastive Sample to Explain Neural Network Model’s Prediction. Thai Le, Suhang Wang, Dongwon …☆21Updated 4 years ago
- A convolutional neural network for graph classification in PyTorch☆91Updated 6 years ago