Alternatives and similar repositories for pyDML

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

• yhenon / pyrcc
  Python implementation of Robust Continuous Clustering
  ☆105Updated 5 years ago
• shahsohil / DCC
  This repository contains the source code and data for reproducing results of Deep Continuous Clustering paper
  ☆214Updated 3 years ago
• wmkouw / libTLDA
  Library of transfer learners and domain-adaptive classifiers.
  ☆91Updated 6 years ago
• herandy / DEPICT
  ☆58Updated 7 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
• 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
• Raymond-sci / AND
  Official Pytorch Implementation for ICML'19 paper: Unsupervised Deep Learning by Neighbourhood Discovery
  ☆155Updated 5 years ago
• ashafaei / out-of-distribution-detection
  The Ultimate Reference for Out of Distribution Detection with Deep Neural Networks
  ☆118Updated 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
  ☆87Updated 3 years ago
• MarcTLaw / DeepSpectralClusteringToy
  PyTorch implementation of Deep Spectral Clustering paper on a toy dataset
  ☆25Updated 6 years ago
• wlwkgus / DeepSpectralClustering
  Pytorch Implemention of paper "Deep Spectral Clustering Learning", the state of the art of the Deep Metric Learning Paper
  ☆93Updated 6 years ago
• boyangumn / DCN-New
  Updated version of DCN
  ☆86Updated 2 years ago
• kingfengji / eForest
  This is the official implementation for the paper 'AutoEncoder by Forest'
  ☆75Updated 7 years ago
• johnwlambert / dlupi-heteroscedastic-dropout
  Deep Learning under Privileged Information Using Heteroscedastic Dropout (CVPR 2018, Official Repo)
  ☆38Updated 4 years ago
• suinleelab / attributionpriors
  Tools for training explainable models using attribution priors.
  ☆124Updated 4 years ago
• Raymond-sci / PICA
  Official Pytorch Implementation for CVPR'20 paper: Deep Semantic Clustering by Partition Confidence Maximisation
  ☆58Updated 4 years ago
• wOOL / DMTRL
  [Code] Deep Multi-task Representation Learning: A Tensor Factorisation Approach
  ☆58Updated 7 years ago
• ShiyuLiang / odin-pytorch
  Principled Detection of Out-of-Distribution Examples in Neural Networks
  ☆202Updated 7 years ago
• domainadaptation / salad
  A toolbox for domain adaptation and semi-supervised learning. Contributions welcome.
  ☆336Updated 4 years ago
• alinlab / Confident_classifier
  Training Confidence-Calibrated Classifier for Detecting Out-of-Distribution Samples / ICLR 2018
  ☆181Updated 5 years ago
• ChongYou / subspace-clustering
  Toolbox for large scale subspace clustering
  ☆177Updated 3 years ago
• josipd / torch-two-sample
  A PyTorch library for two-sample tests
  ☆239Updated 2 years ago
• blueocean92 / deep_constrained_clustering
  ☆40Updated 2 years ago
• mblondel / fenchel-young-losses
  Probabilistic classification in PyTorch/TensorFlow/scikit-learn with Fenchel-Young losses
  ☆185Updated last year
• jingxil / Neural-Decision-Forests
  An implementation of the Deep Neural Decision Forests in PyTorch
  ☆161Updated 5 years ago
• eelxpeng / UnsupervisedDeepLearning-Pytorch
  This repository tries to provide unsupervised deep learning models with Pytorch
  ☆90Updated 7 years ago
• BayesWatch / deep-kernel-transfer
  Official pytorch implementation of the paper "Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels" (NeurIPS 2020)
  ☆203Updated 3 years ago
• MaziarMF / deep-k-means
  ☆94Updated 6 years ago
• GuokaiLiu / Noisy-Labels-Problem-Collection
  This is a collection of Papers and Codes for Noisy Labels Problem.
  ☆63Updated 7 years ago