Alternatives and similar repositories for pyDML

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

• wmkouw / libTLDA
  Library of transfer learners and domain-adaptive classifiers.
  ☆91Updated 6 years ago
• shahsohil / DCC
  This repository contains the source code and data for reproducing results of Deep Continuous Clustering paper
  ☆214Updated 3 years ago
• yhenon / pyrcc
  Python implementation of Robust Continuous Clustering
  ☆107Updated 5 years ago
• rtanno21609 / AdaptiveNeuralTrees
  Adaptive Neural Trees
  ☆153Updated 5 years ago
• ksenia-konyushkova / LAL
  This project contains code for paper Ksenia Konyushkova, Raphael Sznitman, Pascal Fua 'Learning Active Learning from Data', NIPS 2017
  ☆88Updated 3 years ago
• GT-RIPL / L2C
  Learning to Cluster. A deep clustering strategy.
  ☆315Updated 5 years ago
• vodp / py-kmm
  A Python implementation of Kernel Mean Matching data reweighting algorithm
  ☆32Updated 9 years ago
• kingfengji / eForest
  This is the official implementation for the paper 'AutoEncoder by Forest'
  ☆75Updated 7 years ago
• alinlab / Confident_classifier
  Training Confidence-Calibrated Classifier for Detecting Out-of-Distribution Samples / ICLR 2018
  ☆181Updated 5 years ago
• vlosing / incrementalLearning
  ☆45Updated 6 years ago
• wOOL / DMTRL
  [Code] Deep Multi-task Representation Learning: A Tensor Factorisation Approach
  ☆58Updated 7 years ago
• ashafaei / out-of-distribution-detection
  The Ultimate Reference for Out of Distribution Detection with Deep Neural Networks
  ☆118Updated 5 years ago
• bsharchilev / influence_boosting
  Supporting code for the paper "Finding Influential Training Samples for Gradient Boosted Decision Trees"
  ☆67Updated last year
• josipd / torch-two-sample
  A PyTorch library for two-sample tests
  ☆240Updated 2 years ago
• criteo-research / pytorch-ada
  Another Domain Adaptation library, aimed at researchers.
  ☆98Updated 3 months ago
• benoitdescamps / Neural-Tree
  Tensorflow implementation of a Tree
  ☆36Updated 6 years ago
• jingxil / Neural-Decision-Forests
  An implementation of the Deep Neural Decision Forests in PyTorch
  ☆162Updated 5 years ago
• t-sakai-kure / pywsl
  Python codes for weakly-supervised learning
  ☆123Updated 5 years ago
• johnwlambert / dlupi-heteroscedastic-dropout
  Deep Learning under Privileged Information Using Heteroscedastic Dropout (CVPR 2018, Official Repo)
  ☆38Updated 4 years ago
• markpwoodward / active_osl
  Code for "Active One-shot Learning"
  ☆33Updated 6 years ago
• blueocean92 / deep_constrained_clustering
  ☆40Updated 2 years ago
• ShiyuLiang / odin-pytorch
  Principled Detection of Out-of-Distribution Examples in Neural Networks
  ☆202Updated 7 years ago
• facebookresearch / SingleModelUncertainty
  Learning error bars for neural network predictions
  ☆70Updated 5 years ago
• dimkastan / PyTorch-Spectral-clustering
  [Under development]- Implementation of various methods for dimensionality reduction and spectral clustering implemented with Pytorch
  ☆163Updated 7 years ago
• oxcsml / kerpy
  python code for kernel methods
  ☆38Updated 6 years ago
• Riashat / Active-Learning-Bayesian-Convolutional-Neural-Networks
  Active Learning on Image Data using Bayesian ConvNets
  ☆138Updated 8 years ago
• ZhiningLiu1998 / mesa
  [NeurIPS’20] ⚖️ Build powerful ensemble class-imbalanced learning models via meta-knowledge-powered resampler. | 设计元知识驱动的采样器解决类别不平衡问题
  ☆108Updated last year
• OscarcarLi / PrototypeDL
  Codebase for "Deep Learning for Case-based Reasoning through Prototypes: A Neural Network that Explains Its Predictions" (to appear in AA…
  ☆75Updated 7 years ago
• ChongYou / subspace-clustering
  Toolbox for large scale subspace clustering
  ☆177Updated 3 years ago
• boyangumn / DCN-New
  Updated version of DCN
  ☆86Updated 2 years ago