Alternatives and similar repositories for tensorflow-isan-rnn:

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

• philipperemy / tensorflow-cnn-time-series
  Feeding images of time series to Conv Nets! (Tensorflow + Keras)
  ☆49Updated 7 years ago
• philipperemy / tensorflow-phased-lstm
  Phased LSTM: Accelerating Recurrent Network Training for Long or Event-based Sequences (NIPS 2016) - Tensorflow 1.0
  ☆128Updated 6 years ago
• mbinkowski / nntimeseries
  ☆209Updated 6 years ago
• titu1994 / keras-minimal-rnn
  Keras implementation of MinimalRNN: Toward More Interpretable and Trainable Recurrent Neural Networks
  ☆17Updated 6 years ago
• philipperemy / wavenet
  A general TensorFlow implementation of the Wavenet network to be used to model long term sequences with less trainable parameters.
  ☆17Updated 7 years ago
• viveksck / changepoint
  Change Point detection python
  ☆40Updated 2 years ago
• bstriner / bayesian_dense
  Bayesian Weight Uncertainty Dense Layer for Keras
  ☆48Updated 8 years ago
• tjanez / PyMTL
  PyMTL (Python library for Multi-task learning) is a Python module implementing a Multi-task learning framework built on top of scikit-lea…
  ☆44Updated 11 years ago
• AaronYALai / Machine_Learning_and_Having_It_Deep_and_Structured
  (Theano) Implementations about deep neural network, recurrent neural network, LSTM, and structured learining.
  ☆10Updated 8 years ago
• sibosutd / cnn-timeseries
  Use CNN to classify time series data for activity recognition
  ☆26Updated 9 years ago
• abhishekmalali / TimeFlow
  Tensorflow for Time Series Applications
  ☆68Updated 6 years ago
• RobRomijnders / VAE_rec
  Variational Recurrent Auto Encoder
  ☆15Updated 8 years ago
• MasazI / stock_reinforcementlearning_tensorflow
  an implementation of reinforcement learning problem, stock prices
  ☆10Updated 8 years ago
• cgnorthcutt / rankpruning
  🧹 Formerly for binary classification with noisy labels. Replaced by cleanlab.
  ☆82Updated 2 years ago
• rizalzaf / adversarial-multiclass
  Adversarial Multiclass Classification: A Risk Minimization Perspective
  ☆28Updated 5 years ago
• johnny5550822 / awesome-neat-rnn
  A precise to-read list for recurrent neural network (RNN).
  ☆20Updated 8 years ago
• nmayorov / ufcnn
  Implementation of Undecimated Fully Convolutional Neural Network for time series modeling
  ☆39Updated 8 years ago
• philipperemy / LSTM-text-generation
  Generating NEW Reuters articles from Reuters articles.
  ☆15Updated 8 years ago
• philipperemy / tensorflow-grid-lstm
  Implementation of the paper https://arxiv.org/pdf/1507.01526v3.pdf (Tensorflow 1.0, Python 3)
  ☆28Updated 7 years ago
• Jianbo-Lab / deep-learning-project
  ☆8Updated 8 years ago
• fferroni / PhasedLSTM-Keras
  Keras implementation of Phased LSTM [https://arxiv.org/abs/1610.09513]
  ☆145Updated 4 years ago
• jayhack / LSTMVRAE
  Variational Recurrent Auto-Encoder using LSTM encoder/decoder networks
  ☆54Updated 8 years ago
• kuleshov / online-learning
  A few basic online learning algorithms
  ☆25Updated 3 years ago
• trokas / neural_decomposition
  Neaural Decomposition (ND)
  ☆20Updated 7 years ago
• MarcCote / iRBM
  Train an Infinite Restricted Boltzmann Machine
  ☆28Updated 6 years ago
• zalandoresearch / probrnn
  State space modeling with recurrent neural networks
  ☆43Updated 6 years ago
• ying-wen / time_series_prediction
  Time series prediction project for Information Retrieval and Data Mining(COMPGI15)
  ☆30Updated 8 years ago
• davidBelanger / tf-hypergrad
  simple example of gradient-based hyperparameter optimization using tensorflow
  ☆19Updated 9 years ago
• PanDav2 / Clockwork-RNN
  This repository is a reproduction of the clockwork RNN paper.
  ☆20Updated 8 years ago
• rdipietro / mist-rnns
  Mixed History Recurrent Neural Networks
  ☆47Updated 6 years ago