Alternatives and similar repositories for pylmnn

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

• danielgy / Paper-list-on-Imbalanced-Time-series-Classification-with-Deep-Learning
  ☆189Updated 7 years ago
• vlukiyanov / pt-sdae
  PyTorch implementation of SDAE (Stacked Denoising AutoEncoder)
  ☆127Updated 5 years ago
• ZhiningLiu1998 / self-paced-ensemble
  [ICDE'20] ⚖️ A general, efficient ensemble framework for imbalanced classification. | 泛用，高效，鲁棒的类别不平衡学习框架
  ☆259Updated last year
• MadhumitaSushil / SDAE
  Stacked Denoising AutoEncoder
  ☆80Updated 5 years ago
• chongshengzhang / Multi_Imbalance
  Our implementations of the Multi-class Imbalance learning algorithms (for the KBS paper)
  ☆46Updated 6 years ago
• mehulrastogi / Deep-Belief-Network-pytorch
  This repository has implementation and tutorial for Deep Belief Network
  ☆101Updated 6 years ago
• hosseinshn / Basic-Multi-task-Learning
  This is a repository for Multi-task learning with toy data in Pytorch and Tensorflow
  ☆137Updated 7 years ago
• leibinghe / GAAL-based-outlier-detection
  GAAL-based Outlier Detection
  ☆134Updated 3 years ago
• ElieAljalbout / Clustering-with-Deep-learning
  Generic implementation for clustering with deep learning : representation learning (DNN) + clustering
  ☆294Updated 7 years ago
• kazuto1011 / svm-pytorch
  Linear SVM with PyTorch
  ☆174Updated 2 years ago
• wmkouw / libTLDA
  Library of transfer learners and domain-adaptive classifiers.
  ☆93Updated 6 years ago
• houshd / LSTM-FCN
  Codebase for the paper LSTM Fully Convolutional Networks for Time Series Classification
  ☆141Updated 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
• abhinav4192 / sparse-subspace-clustering-python
  Python implementation of Sparse Subspace Clustering algorithm.
  ☆80Updated 7 years ago
• chenchiwei / tradaboost
  Transfer learning algorithm TrAdaboost,coded by python
  ☆125Updated 2 years ago
• wzell / mann
  Unsupervised Domain Adaptation with Moment Alignment Neural Networks (Keras)
  ☆60Updated 2 years ago
• FuzhenZhuang / Transfer-Learning-Toolkit
  Transfer Learning Toolkit for Primary Researchers
  ☆107Updated 4 years ago
• winstonll / COPOD
  Supplementary material for ICDM 20 paper "COPOD: Copula-Based Outlier Detection"
  ☆59Updated 5 years ago
• rymc / n2d
  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
• dialnd / imbalanced-algorithms
  Python-based implementations of algorithms for learning on imbalanced data.
  ☆242Updated 3 years ago
• ermongroup / ssdkl
  Code that accompanies the paper Semi-supervised Deep Kernel Learning: Regression with Unlabeled Data by Minimizing Predictive Variance
  ☆76Updated 6 years ago
• lukasruff / Deep-SVDD
  Repository for the Deep One-Class Classification ICML 2018 paper
  ☆257Updated 6 years ago
• jlsuarezdiaz / pyDML
  Distance Metric Learning Algorithms for Python
  ☆174Updated 4 years ago
• siddharth-agrawal / Sparse-Autoencoder
  ☆89Updated 7 years ago
• XifengGuo / IDEC
  ☆164Updated 8 years ago
• JGuymont / vae-anomaly-detector
  Experiments on unsupervised anomaly detection using variational autoencoder. The variational autoencoder is implemented in Pytorch.
  ☆65Updated 2 years ago
• awerries / online-svr
  Implementation of Accurate Online Support Vector Regression in Python.
  ☆86Updated 6 years ago
• hfawaz / bigdata18
  Transfer learning for time series classification
  ☆382Updated 6 years ago
• ShayanPersonal / stacked-autoencoder-pytorch
  Stacked denoising convolutional autoencoder written in Pytorch for some experiments.
  ☆135Updated 2 years ago
• zc8340311 / RobustAutoencoder
  A combination of Autoencoder and Robust PCA
  ☆188Updated last year