Alternatives and similar repositories for see-rnn

Users that are interested in see-rnn are comparing it to the libraries listed below

• okrasolar / pytorch-timeseries
  PyTorch implementations of neural networks for timeseries classification
  ☆111Updated 3 years ago
• emanuel-metzenthin / Lime-For-Time
  Application of the LIME algorithm by Marco Tulio Ribeiro, Sameer Singh, Carlos Guestrin to the domain of time series classification
  ☆95Updated last year
• ratschlab / SOM-VAE
  TensorFlow implementation of the SOM-VAE model as described in https://arxiv.org/abs/1806.02199
  ☆196Updated 2 years ago
• arundo / tsaug
  A Python package for time series augmentation
  ☆355Updated 2 years ago
• shobrook / sequitur
  Library of autoencoders for sequential data
  ☆441Updated last year
• edebrouwer / gru_ode_bayes
  Pytorch implementation of GRU-ODE-Bayes
  ☆230Updated 2 years ago
• White-Link / UnsupervisedScalableRepresentationLearningTimeSeries
  Unsupervised Scalable Representation Learning for Multivariate Time Series: Experiments
  ☆395Updated 9 months ago
• ayaabdelsalam91 / TS-Interpretability-Benchmark
  ☆91Updated 3 years ago
• williamgilpin / fnn
  Embed strange attractors using a regularizer for autoencoders
  ☆133Updated 3 years ago
• FlorentF9 / DeepTemporalClustering
  Keras implementation of the Deep Temporal Clustering (DTC) model
  ☆228Updated 3 years ago
• rajatsen91 / deepglo
  This repository contains code for the paper: https://arxiv.org/abs/1905.03806. It also contains scripts to reproduce the results in the p…
  ☆168Updated 5 years ago
• tejaslodaya / timeseries-clustering-vae
  Variational Recurrent Autoencoder for timeseries clustering in pytorch
  ☆483Updated last year
• nengo / keras-lmu
  Keras implementation of Legendre Memory Units
  ☆213Updated last month
• hfawaz / aaltd18
  Data augmentation using synthetic data for time series classification with deep residual networks
  ☆186Updated 6 years ago
• ratschlab / dpsom
  Code associated with ACM-CHIL 21 paper 'T-DPSOM - An Interpretable Clustering Method for Unsupervised Learning of Patient Health States'
  ☆68Updated 4 years ago
• tcapelle / timeseries_fastai
  fastai V2 implementation of Timeseries classification papers.
  ☆241Updated 2 years ago
• patrick-kidger / generalised_shapelets
  Code for "Generalised Interpretable Shapelets for Irregular Time Series"
  ☆57Updated last year
• time-series-machine-learning / tsml-repo
  Discussion, problems and donations of data hosted at
  ☆50Updated last year
• kevinzakka / torchnca
  A PyTorch implementation of Neighbourhood Components Analysis.
  ☆400Updated 4 years ago
• angus924 / minirocket
  MINIROCKET: A Very Fast (Almost) Deterministic Transform for Time Series Classification
  ☆309Updated 3 years ago
• ai-fast-track / timeseries
  Time Series package for fastai v2
  ☆95Updated 2 years ago
• terryum / Data-Augmentation-For-Wearable-Sensor-Data
  A sample code of data augmentation methods for wearable sensor data (time-series data)
  ☆404Updated 4 years ago
• haoyfan / SelfTime
  (Under Review)
  ☆67Updated 3 years ago
• uchidalab / time_series_augmentation
  An example of time series augmentation methods with Keras
  ☆346Updated 3 years ago
• hfawaz / ijcnn19ensemble
  Deep Neural Network Ensembles for Time Series Classification
  ☆111Updated last year
• sktime / sktime-dl
  DEPRECATED, now in sktime - companion package for deep learning based on TensorFlow
  ☆598Updated 9 months ago
• BorgwardtLab / Set_Functions_for_Time_Series
  Repository of the ICML 2020 paper "Set Functions for Time Series"
  ☆126Updated 4 years ago
• mvaldenegro / keras-uncertainty
  Utilities to perform Uncertainty Quantification on Keras Models
  ☆115Updated last year
• kristpapadopoulos / seriesnet
  Time series prediction using dilated causal convolutional neural nets (temporal CNN)
  ☆236Updated 2 years ago
• stefanonardo / pytorch-esn
  An Echo State Network module for PyTorch.
  ☆219Updated 2 years ago