Alternatives and similar repositories for eForest

Users that are interested in eForest are comparing it to the libraries listed below

• jingxil / Neural-Decision-Forests
  An implementation of the Deep Neural Decision Forests in PyTorch
  ☆165Updated 6 years ago
• bsharchilev / influence_boosting
  Supporting code for the paper "Finding Influential Training Samples for Gradient Boosted Decision Trees"
  ☆68Updated last year
• kingfengji / mGBDT
  This is the official clone for the implementation of the NIPS18 paper Multi-Layered Gradient Boosting Decision Trees (mGBDT) .
  ☆104Updated 6 years ago
• rtanno21609 / AdaptiveNeuralTrees
  Adaptive Neural Trees
  ☆155Updated 6 years ago
• jlsuarezdiaz / pyDML
  Distance Metric Learning Algorithms for Python
  ☆173Updated 4 years ago
• benoitdescamps / Neural-Tree
  Tensorflow implementation of a Tree
  ☆35Updated 6 years ago
• Jianbo-Lab / CCM
  ☆74Updated 6 years ago
• wOOL / DNDT
  Deep Neural Decision Trees
  ☆161Updated 3 years ago
• AntoinePassemiers / Encoder-Forest
  eForest: Reversible mapping between high-dimensional data and path rule identifiers using trees embedding
  ☆24Updated 5 years ago
• zygmuntz / classifier-calibration
  Reliability diagrams, Platt's scaling, isotonic regression
  ☆76Updated 11 years ago
• yhenon / pyrcc
  Python implementation of Robust Continuous Clustering
  ☆106Updated 6 years ago
• rsheth80 / pmf-automl
  Data and code related to the paper "Probabilistic matrix factorization for automated machine learning", NIPS, 2018.
  ☆40Updated 3 years ago
• cmuxstream / cmuxstream-core
  Static (Python) and streaming (C++) implementations of xStream (KDD 2018).
  ☆31Updated 7 years ago
• fahadm / Bayesian-Active-Learning-Pytorch
  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
• tjanez / PyMTL
  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
• closest-git / QuantumForest
  Fast Differentiable Forest lib with the advantages of both decision trees and neural networks
  ☆78Updated 3 years ago
• nlml / tsne_raw
  Implementation of Symmetric SNE and t-SNE in numpy and python
  ☆76Updated 4 years ago
• YoungHJung / OnlineBoostingWithVFDT
  Online multiclass boosting algorithm that uses VFDT as weak learners
  ☆17Updated 6 years ago
• shahsohil / DCC
  This repository contains the source code and data for reproducing results of Deep Continuous Clustering paper
  ☆214Updated 4 years ago
• Riashat / Deep-Bayesian-Active-Learning
  Code for Deep Bayesian Active Learning (ICML 2017)
  ☆112Updated 7 years ago
• udellgroup / oboe
  An AutoML pipeline selection system to quickly select a promising pipeline for a new dataset.
  ☆84Updated 3 years ago
• XifengGuo / DEC-DA
  Deep Embedded Clustering with Data Augmentation (DEC-DA). Performance on MNIST (acc=0.985, nmi=0.960).
  ☆57Updated 6 years ago
• ej0cl6 / csmlc
  Cost-Sensitive Multi-Label Classification
  ☆19Updated 7 years ago
• avijit9 / Contractive_Autoencoder_in_Pytorch
  Pytorch implementation of contractive autoencoder on MNIST dataset
  ☆53Updated 7 years ago
• erlendd / covariate-shift-adaption
  An example of using a discriminator to correct for a difference in the distributions between the training and test data.
  ☆67Updated 8 years ago
• jhseu / nca
  Neighborhood Components Analysis in C++
  ☆38Updated 15 years ago
• RobRomijnders / ssl_graph
  Semi supervised learning on graphs
  ☆35Updated 7 years ago
• vodp / py-kmm
  A Python implementation of Kernel Mean Matching data reweighting algorithm
  ☆33Updated 9 years ago
• eminorhan / mixture-of-experts
  Mixture of experts layers for Keras
  ☆95Updated 7 years ago
• greentfrapp / doping
  Code for DOPING: Generative Data Augmentation for Unsupervised Anomaly Detection with GAN
  ☆15Updated 7 years ago