Alternatives and similar repositories for soinn

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

• nkmry / soinn
  Self-Organizing Incremental Neural Network implementation with Python
  ☆43Updated 7 years ago
• chickenbestlover / Online-Recurrent-Extreme-Learning-Machine
  Online-Recurrent-Extreme-Learning-Machine (OR-ELM) for time-series prediction, implemented in python
  ☆155Updated 6 years ago
• MadhumitaSushil / SDAE
  Stacked Denoising AutoEncoder
  ☆80Updated 6 years ago
• danielgy / Paper-list-on-Imbalanced-Time-series-Classification-with-Deep-Learning
  ☆190Updated 8 years ago
• houshd / LSTM-FCN
  Codebase for the paper LSTM Fully Convolutional Networks for Time Series Classification
  ☆140Updated 6 years ago
• FuzhenZhuang / Transfer-Learning-Toolkit
  Transfer Learning Toolkit for Primary Researchers
  ☆106Updated 4 years ago
• alison-carrera / onn
  Online Deep Learning: Learning Deep Neural Networks on the Fly / Non-linear Contextual Bandit Algorithm (ONN_THS)
  ☆189Updated 6 years ago
• chickenbestlover / ELM-pytorch
  Extreme Learning Machine implemented in Pytorch
  ☆105Updated 7 years ago
• LIBOL / ODL
  ☆82Updated 6 years ago
• OctoberChang / klcpd_code
  Kernel Change-point Detection with Auxiliary Deep Generative Models (ICLR 2019 paper)
  ☆61Updated 2 years ago
• AdrienGuille / GrowingNeuralGas
  Simple implementation of the "growing neural gas" artificial neural network
  ☆62Updated 5 years ago
• awerries / online-svr
  Implementation of Accurate Online Support Vector Regression in Python.
  ☆85Updated 6 years ago
• saeeeeru / dtc-tensorflow
  Implementation of Deep Temporal Clustering.
  ☆73Updated 2 years ago
• siddharth-agrawal / Sparse-Autoencoder
  ☆89Updated 7 years ago
• cvxgrp / GGS
  Greedy Gaussian Segmentation
  ☆101Updated 3 years ago
• Wensi-Tang / OS-CNN
  ☆144Updated 5 months ago
• jaromiru / cwcf
  Source code for paper Classification with Costly Features using Deep Reinforcement Learning.
  ☆57Updated 4 years ago
• tungk / OED
  Outlier Detection for Time Series with Recurrent Autoencoder Ensembles
  ☆75Updated 6 years ago
• floft / codats
  Source code for "Multi-Source Deep Domain Adaptation with Weak Supervision for Time-Series Sensor Data" (KDD 2020)
  ☆56Updated 5 years ago
• hfawaz / aaltd18
  Data augmentation using synthetic data for time series classification with deep residual networks
  ☆182Updated 7 years ago
• mperezcarrasco / PyTorch-DAGMM
  Deep Autoencoding Gaussian Mixture Model for Unsupervised Anomaly Detection
  ☆65Updated 5 years ago
• jsyoon0823 / MRNN
  Multi-directional Recurrent Neural Networks (MRNN) - IEEE TBME 2019
  ☆45Updated 5 years ago
• ZhouYuxuanYX / Unsupervised-Deep-Learning-Framework-for-Anomaly-Detection-in-Time-Series-
  Unsupervised deep learning framework with online(MLP: prediction-based, 1 D Conv and VAE: reconstruction-based, Wavenet: prediction-based…
  ☆129Updated 3 years ago
• kdd2019-tapnet / tapnet
  Multivariate Time Series Classification Model with Attentional Prototype Network
  ☆44Updated 6 years ago
• leferrad / pyoselm
  A Python implementation of Online Sequential Extreme Machine Learning (OS-ELM) for online machine learning
  ☆42Updated this week
• FlorentF9 / DeepTemporalClustering
  Keras implementation of the Deep Temporal Clustering (DTC) model
  ☆236Updated last month
• hs-jiang / FISVDD
  Fast Incremental Support Vector Data Description implemented in Python
  ☆31Updated 5 years ago
• mariacer / cl_in_rnns
  Continual Learning in Recurrent Neural Networks
  ☆37Updated 4 years ago
• tnakae / DAGMM
  DAGMM Tensorflow implementation
  ☆180Updated 2 years ago
• GMvandeVen / brain-inspired-replay
  A brain-inspired version of generative replay for continual learning with deep neural networks (e.g., class-incremental learning on CIFAR…
  ☆246Updated 2 years ago