Alternatives and similar repositories for tensorflow-grid-lstm

Users that are interested in tensorflow-grid-lstm are comparing it to the libraries listed below

• 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
• phvu / grid-lstm-tensorflow
  Examples of using GridLSTM (and GridRNN in general) in tensorflow
  ☆63Updated 7 years ago
• fferroni / PhasedLSTM-Keras
  Keras implementation of Phased LSTM [https://arxiv.org/abs/1610.09513]
  ☆144Updated 5 years ago
• philipperemy / tensorflow-cnn-time-series
  Feeding images of time series to Conv Nets! (Tensorflow + Keras)
  ☆49Updated 8 years ago
• mbinkowski / nntimeseries
  ☆209Updated 7 years ago
• titu1994 / Nested-LSTM
  Keras implementation of Nested LSTMs
  ☆88Updated 6 years ago
• jamesmf / mnistCRNN
  Simple TimeDistributed() wrapper Demo in Keras; sums images of MNIST digits
  ☆60Updated 7 years ago
• abhishekmalali / TimeFlow
  Tensorflow for Time Series Applications
  ☆68Updated 7 years ago
• artemvang / lstm_gan
  Implementation of LSTM GAN for twitter posts generating.
  ☆30Updated 8 years ago
• pipidog / DeepTimeSeries
  A Keras-based library for analysis of time series data using deep learning algorithms.
  ☆117Updated 7 years ago
• ml-hongkong / stock2vec
  Variational Reccurrent Autoencoder for Embedding stocks to vectors based on the price history
  ☆38Updated 8 years ago
• SamuelePolimi / TreasureBot
  A bot for financial signal
  ☆62Updated 7 years ago
• rajarsheem / libsdae-autoencoder-tensorflow
  A simple Tensorflow based library for deep and/or denoising AutoEncoder.
  ☆149Updated 7 years ago
• tomrunia / ClockworkRNN
  Clockwork RNN in TensorFlow
  ☆61Updated 7 years ago
• jperl / stock2vec
  📈 Stock embeddings based on PE context
  ☆75Updated 8 years ago
• arnomoonens / yarll
  Combining deep learning and reinforcement learning.
  ☆80Updated 3 years ago
• MarvinBertin / HiddenMarkovModel_TensorFlow
  TensorFlow: Viterbi, Forward-Backward and Baum Welch with a Hidden Markov Model (HMM)
  ☆137Updated 5 years ago
• cbonnett / MDN_Edward_Keras_TF
  ☆13Updated 9 years ago
• buriburisuri / timeseries_gan
  A tensorflow implementation of GAN ( exactly InfoGAN or Info GAN ) to one dimensional ( 1D ) time series data.
  ☆299Updated last year
• anayebi / keras-extra
  Extra Layers for Keras to connect CNN with RNN
  ☆154Updated 9 years ago
• MasazI / stock_reinforcementlearning_tensorflow
  an implementation of reinforcement learning problem, stock prices
  ☆10Updated 8 years ago
• Islandman93 / reinforcepy
  Collection of reinforcement learners implemented in python. Mainly including DQN and its variants
  ☆54Updated 8 years ago
• lukovkin / ufcnn-keras
  Implementation of UFCNN in Keras
  ☆93Updated 8 years ago
• philipperemy / tensorflow-multi-dimensional-lstm
  Multi dimensional LSTM as described in Alex Graves' Paper https://arxiv.org/pdf/0705.2011.pdf
  ☆156Updated 5 years ago
• FrancisArgnR / Time-series---deep-learning---state-of-the-art
  Scientific time series and deep learning state of the art
  ☆282Updated 4 years ago
• wdy06 / stock_dqn
  trading by Deep Q-Network
  ☆15Updated 8 years ago
• Grzego / async-rl
  Variation of "Asynchronous Methods for Deep Reinforcement Learning" with multiple processes generating experience for agent (Keras + Thea…
  ☆44Updated 7 years ago
• ili3p / HORD
  Efficient Hyperparameter Optimization of Deep Learning Algorithms Using Deterministic RBF Surrogates
  ☆115Updated 8 years ago
• jolibrain / manette
  Deep Reinforcement Learning with Fined Grained Action Repetition
  ☆23Updated 7 years ago
• titu1994 / keras-SRU
  Implementation of Simple Recurrent Unit in Keras
  ☆90Updated 7 years ago