Alternatives and similar repositories for tensorflow-cnn-time-series:

Users that are interested in tensorflow-cnn-time-series are comparing it to the libraries listed below

• philipperemy / tensorflow-grid-lstm
  Implementation of the paper https://arxiv.org/pdf/1507.01526v3.pdf (Tensorflow 1.0, Python 3)
  ☆28Updated 7 years ago
• dhrushilbadani / deeplearning-timeseries
  Timeseries Forecasting via Recurrent Neural Nets [Keras + Theano]
  ☆34Updated 8 years ago
• abhishekmalali / TimeFlow
  Tensorflow for Time Series Applications
  ☆68Updated 6 years ago
• phvu / grid-lstm-tensorflow
  Examples of using GridLSTM (and GridRNN in general) in tensorflow
  ☆63Updated 7 years ago
• cbonnett / MDN_Edward_Keras_TF
  ☆13Updated 8 years ago
• cauchyturing / Imaging-time-series-to-improve-classification-and-imputation
  Python 3.6+ (only)
  ☆112Updated 5 years ago
• lukovkin / ufcnn-keras
  Implementation of UFCNN in Keras
  ☆93Updated 8 years ago
• mbinkowski / nntimeseries
  ☆209Updated 6 years ago
• maxpumperla / neuralforecast
  Time Series Prediction: A Non Linear Approach with Neural Networks
  ☆34Updated 8 years ago
• MasazI / stock_reinforcementlearning_tensorflow
  an implementation of reinforcement learning problem, stock prices
  ☆10Updated 8 years ago
• keisuke-nakata / rwa
  [Recurrent Weighted Average](https://arxiv.org/abs/1703.01253) [Jared Ostmeyer et.al, 2017] heavily based on https://gist.github.com/sham…
  ☆10Updated 7 years ago
• nmayorov / ufcnn
  Implementation of Undecimated Fully Convolutional Neural Network for time series modeling
  ☆39Updated 8 years ago
• jamesmf / mnistCRNN
  Simple TimeDistributed() wrapper Demo in Keras; sums images of MNIST digits
  ☆61Updated 6 years ago
• zalandoresearch / probrnn
  State space modeling with recurrent neural networks
  ☆43Updated 6 years ago
• bstriner / bayesian_dense
  Bayesian Weight Uncertainty Dense Layer for Keras
  ☆48Updated 8 years ago
• jvpoulos / drnns-prediction
  Deep Recurrent Neural Networks (RNNs) for Time-Series Prediction
  ☆20Updated 7 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 6 years ago
• mhamilton723 / pyTrading
  A library for stock market analysis and automated trading, powered by sklearn.
  ☆41Updated 9 years ago
• Jianbo-Lab / deep-learning-project
  ☆8Updated 8 years ago
• bigsnarfdude / SELU_Keras_Tutorial
  Keras based Tutorials and implementations for "Self-normalizing networks" - new activation function SELU
  ☆48Updated 3 years ago
• sibosutd / cnn-timeseries
  Use CNN to classify time series data for activity recognition
  ☆26Updated 9 years ago
• m-colombo / Tensorflow-EchoStateNetwork
  Echo state network implementation on tensorflow
  ☆69Updated 5 years ago
• sebp / tf_autoencoder
  Denoising autoencoder implementation as TensorFlow estimator
  ☆25Updated 6 years ago
• hyperopt / hyperopt-nnet
  Hyperparameter optimization for neural networks
  ☆47Updated 11 years ago
• titu1994 / Keras-IndRNN
  Implementation of IndRNN in Keras
  ☆67Updated 4 years ago
• wolfws / keras-tensorflow-financial-time-series-signal-forecast
  Financial Time Series Price forecast using Keras for Tensorflow. RNN LSTM
  ☆47Updated 7 years ago
• yoavz / transfer-learning-keras
  Transfer learning with keras on computer vision datasets
  ☆17Updated 7 years ago
• ml-hongkong / stock2vec
  Variational Reccurrent Autoencoder for Embedding stocks to vectors based on the price history
  ☆38Updated 7 years ago
• SamuelePolimi / TreasureBot
  A bot for financial signal
  ☆63Updated 7 years ago
• titu1994 / BatchRenormalization
  Batch Renormalization algorithm implementation in Keras
  ☆98Updated 5 years ago