Alternatives and similar repositories for pylmnn

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

• wmkouw / libTLDA
  Library of transfer learners and domain-adaptive classifiers.
  ☆91Updated 6 years ago
• vlukiyanov / pt-sdae
  PyTorch implementation of SDAE (Stacked Denoising AutoEncoder)
  ☆124Updated 4 years ago
• surajiyer / Transfer-learning-with-TrAdaBoost
  Scikit-learn style implementation of TrAdaBoost algorithm
  ☆36Updated 7 years ago
• jonzia / Recurrent_Autoencoder
  Sequence-to-sequence autoencoder for unsupervised learning of nonlinear dynamics (Tensorflow).
  ☆30Updated 3 years ago
• vatsalsharan / pidforest
  Code for the PIDForest algorithm for anomaly detection
  ☆27Updated 5 years ago
• MadhumitaSushil / SDAE
  Stacked Denoising AutoEncoder
  ☆78Updated 5 years ago
• danielgy / Paper-list-on-Imbalanced-Time-series-Classification-with-Deep-Learning
  ☆185Updated 7 years ago
• shahsohil / DCC
  This repository contains the source code and data for reproducing results of Deep Continuous Clustering paper
  ☆214Updated 3 years ago
• o-tawab / Variational-Autoencoder-pytorch
  Implementation of a convolutional Variational-Autoencoder model in pytorch.
  ☆74Updated 6 years ago
• boyangumn / DCN
  This is outdated -- New version: https://github.com/boyangumn/DCN-New
  ☆94Updated 7 years ago
• sharonFogel / CPAC
  Pytorch implementation of our article "Clustering-driven Deep Embedding with Pairwise Constraints"
  ☆27Updated 7 years ago
• abhinav4192 / sparse-subspace-clustering-python
  Python implementation of Sparse Subspace Clustering algorithm.
  ☆79Updated 6 years ago
• wzell / mann
  Unsupervised Domain Adaptation with Moment Alignment Neural Networks (Keras)
  ☆60Updated last year
• blueocean92 / deep_constrained_clustering
  ☆40Updated 2 years ago
• kingfengji / eForest
  This is the official implementation for the paper 'AutoEncoder by Forest'
  ☆75Updated 7 years ago
• leibinghe / GAAL-based-outlier-detection
  GAAL-based Outlier Detection
  ☆132Updated 2 years ago
• saeeeeru / dtc-tensorflow
  Implementation of Deep Temporal Clustering.
  ☆74Updated 2 years ago
• jlsuarezdiaz / pyDML
  Distance Metric Learning Algorithms for Python
  ☆173Updated 4 years ago
• XifengGuo / IDEC
  ☆162Updated 8 years ago
• cmuxstream / cmuxstream-core
  Static (Python) and streaming (C++) implementations of xStream (KDD 2018).
  ☆30Updated 7 years ago
• chongshengzhang / Multi_Imbalance
  Our implementations of the Multi-class Imbalance learning algorithms (for the KBS paper)
  ☆46Updated 6 years ago
• boyangumn / DCN-New
  Updated version of DCN
  ☆86Updated 2 years ago
• JGuymont / vae-anomaly-detector
  Experiments on unsupervised anomaly detection using variational autoencoder. The variational autoencoder is implemented in Pytorch.
  ☆67Updated last year
• eyounx / GANMM
  Mixture of Generative Adversarial Networks for Clustering
  ☆16Updated 7 years ago
• siddharth-agrawal / Sparse-Autoencoder
  ☆89Updated 7 years ago
• Abhipanda4 / Sparse-Autoencoders
  Sparse Autoencoders using FashionMNIST dataset
  ☆35Updated 7 years ago
• abhiskk / ladder
  Implementation of Ladder Network in PyTorch.
  ☆45Updated 7 years ago
• RobRomijnders / ssl_graph
  Semi supervised learning on graphs
  ☆35Updated 7 years ago
• markpwoodward / active_osl
  Code for "Active One-shot Learning"
  ☆33Updated 6 years ago
• RomainSabathe / dagmm
  A Pytorch implementation of the paper `Deep Autoencoding Gaussian Mixture Model For Unsupervised Anomaly Detection` by Zong et al.
  ☆70Updated 5 years ago