Alternatives and similar repositories for Time-series---deep-learning---state-of-the-art

Users that are interested in Time-series---deep-learning---state-of-the-art are comparing it to the libraries listed below

• mbinkowski / nntimeseries
  ☆209Updated 7 years ago
• pipidog / DeepTimeSeries
  A Keras-based library for analysis of time series data using deep learning algorithms.
  ☆117Updated 7 years ago
• polyaxon / haupt
  Lineage metadata API, artifacts streams, sandbox, API, and spaces for Polyaxon
  ☆453Updated this week
• aaxwaz / Multivariate-Time-Series-forecast-using-seq2seq-in-TensorFlow
  ☆151Updated 7 years ago
• NLeSC / mcfly
  A deep learning tool for time series classification and regression
  ☆366Updated last week
• RobRomijnders / AE_ts
  Auto encoder for time series
  ☆439Updated 5 years ago
• buriburisuri / timeseries_gan
  A tensorflow implementation of GAN ( exactly InfoGAN or Info GAN ) to one dimensional ( 1D ) time series data.
  ☆298Updated last year
• RobRomijnders / LSTM_tsc
  An LSTM for time-series classification
  ☆415Updated 7 years ago
• fferroni / PhasedLSTM-Keras
  Keras implementation of Phased LSTM [https://arxiv.org/abs/1610.09513]
  ☆144Updated 5 years ago
• Vooban / Hyperopt-Keras-CNN-CIFAR-100
  Auto-optimizing a neural net (and its architecture) on the CIFAR-100 dataset. Could be easily transferred to another dataset or another c…
  ☆144Updated 2 years ago
• philipperemy / tensorflow-cnn-time-series
  Feeding images of time series to Conv Nets! (Tensorflow + Keras)
  ☆49Updated 8 years ago
• vict0rsch / deep_learning
  Deep Learning Resources and Tutorials using Keras and Lasagne
  ☆425Updated 4 years ago
• abhishekmalali / TimeFlow
  Tensorflow for Time Series Applications
  ☆68Updated 7 years ago
• aurotripathy / lstm-anomaly-detect
  Example code for neural-network-based anomaly detection of time-series data (uses LSTM)
  ☆181Updated 8 years ago
• guillaume-chevalier / seq2seq-signal-prediction
  Signal forecasting with a Sequence-to-Sequence (seq2seq) Recurrent Neural Network (RNN) model in TensorFlow - Guillaume Chevalier
  ☆1,086Updated 2 years ago
• dhrushilbadani / deeplearning-timeseries
  Timeseries Forecasting via Recurrent Neural Nets [Keras + Theano]
  ☆34Updated 8 years ago
• aqibsaeed / Multilabel-timeseries-classification-with-LSTM
  Tensorflow implementation of paper: Learning to Diagnose with LSTM Recurrent Neural Networks.
  ☆574Updated 8 years ago
• guillaume-chevalier / Hyperopt-Keras-CNN-CIFAR-100
  Auto-optimizing a neural net (and its architecture) on the CIFAR-100 dataset. Could be easily transferred to another dataset or another c…
  ☆106Updated 7 years ago
• simaaron / kaggle-Rain
  Winning solution to the Kaggle competition - How Much Did It Rain? II
  ☆155Updated 9 years ago
• iwyoo / LSTM-autoencoder
  TensorFlow LSTM-autoencoder implementation
  ☆191Updated 7 years ago
• rajarsheem / libsdae-autoencoder-tensorflow
  A simple Tensorflow based library for deep and/or denoising AutoEncoder.
  ☆149Updated 7 years ago
• RobRomijnders / CNN_tsc
  A CNN for time-series classification
  ☆156Updated 8 years ago
• rouseguy / TimeSeriesAnalysiswithPython
  Time Series Analysis with Python
  ☆347Updated 9 years ago
• danielgy / Paper-List-of-Time-Series-Forecasting-with-Deep-Learning
  ☆93Updated 7 years ago
• akusok / hpelm
  High performance implementation of Extreme Learning Machines (fast randomized neural networks).
  ☆197Updated 5 months ago
• log0 / vertebral
  Demonstration of the effect of synthetic features on linear models
  ☆79Updated 11 years ago
• llSourcell / How-to-Use-Tensorflow-for-Time-Series-Live-
  ☆119Updated 7 years ago
• CamDavidsonPilon / Python-Numerics
  Numerical machines in Python
  ☆94Updated 11 years ago
• neelabhpant / Deep-Learning-in-Python
  Hands-on, practical knowledge of how to use neural networks and deep learning with Keras 2.0
  ☆388Updated 5 years ago
• cauchyturing / Imaging-time-series-to-improve-classification-and-imputation
  Python 3.6+ (only)
  ☆113Updated 6 years ago