Alternatives and similar repositories for Surge-Forecast-with-RNN

Users that are interested in Surge-Forecast-with-RNN are comparing it to the libraries listed below

• pipidog / DeepTimeSeries
  A Keras-based library for analysis of time series data using deep learning algorithms.
  ☆117Updated 7 years ago
• dhrushilbadani / deeplearning-timeseries
  Timeseries Forecasting via Recurrent Neural Nets [Keras + Theano]
  ☆34Updated 8 years ago
• aaxwaz / Multivariate-Time-Series-forecast-using-seq2seq-in-TensorFlow
  ☆151Updated 7 years ago
• seanabu / seanabu.github.io
  personal blog
  ☆109Updated 6 years ago
• ikding / pycon_time_series
  PyCon 2017 tutorial on time series analysis
  ☆72Updated 8 years ago
• alteryx / predict-taxi-trip-duration
  Predict taxi trip duration based on historical trips using automated feature engineering
  ☆62Updated 5 years ago
• mpearmain / gestalt
  A helper library for data science pipeline
  ☆36Updated 6 years ago
• FrancisArgnR / Time-series---deep-learning---state-of-the-art
  Scientific time series and deep learning state of the art
  ☆281Updated 4 years ago
• nmayorov / ufcnn
  Implementation of Undecimated Fully Convolutional Neural Network for time series modeling
  ☆39Updated 8 years ago
• shellshock1911 / Sky-Cast-Capstone
  Sky Cast: A Comparison of Modern Techniques for Forecasting Time Series
  ☆68Updated 7 years ago
• abhishekmalali / TimeFlow
  Tensorflow for Time Series Applications
  ☆68Updated 7 years ago
• amueller / advanced_training
  Advanced Scikit-learn training session
  ☆118Updated 9 years ago
• marekgalovic / articles
  Code related to my articles.
  ☆37Updated 4 years ago
• yifan-guo-cwru / Time-Series-Prediction-with-LSTM-Recurrent-Neural-Networks-in-Python-with-Keras
  RNN LSTM Time Series
  ☆44Updated 8 years ago
• thismlguy / Kaggle
  Containing codes of participation in Kaggle competitions.
  ☆37Updated 9 years ago
• algobeans / Time-Series-Forecasting
  Code to 1) scrap wikipedia page view counts, and to 2) conduct time series analysis with GAM
  ☆47Updated 7 years ago
• abhishekkrthakur / greedyFeatureSelection
  greedy feature selection based on ROC AUC
  ☆125Updated 11 years ago
• maciejkula / netrex
  Neural network recommendation models in PyTorch
  ☆58Updated 7 years ago
• sachinruk / KerasQuantileModel
  Quantile Regression using Deep Learning. An alternative to Bayesian models to get uncertainty.
  ☆77Updated 7 years ago
• aaxwaz / Fraud-detection-using-deep-learning
  ☆112Updated 7 years ago
• CamDavidsonPilon / Python-Numerics
  Numerical machines in Python
  ☆94Updated 10 years ago
• opringle / multivariate_time_series_forecasting
  A place to implement state of the art deep learning methods for temporal modelling using python and MXNet.
  ☆64Updated 5 years ago
• aqibsaeed / Anomaly-Detection
  Anomaly detection algorithm implementation in Python
  ☆130Updated 4 years ago
• tgsmith61591 / skutil
  NOTE: skutil is now deprecated. See its sister project: https://github.com/tgsmith61591/skoot. Original description: A set of scikit-lear…
  ☆31Updated 7 years ago
• ragulpr / wtte-rnn-examples
  Examples of implementations of WTTE-RNN
  ☆32Updated 7 years ago
• thedataincubator / DS30_4
  Brian Farris' Talk on Reinforcement Learning and Multi-Armed Bandits for the Data Incubator
  ☆30Updated 7 years ago
• Theo- / sentiment-analysis-keras-conv
  Using Convolutional Neural Net for Sentiment Analysis
  ☆70Updated 7 years ago
• llSourcell / How-to-Use-Tensorflow-for-Time-Series-Live-
  ☆119Updated 7 years ago
• amirstar / Deep-Forecast
  The code of the paper 'Deep Forecast : Deep Learning-based Spatio-Temporal Forecasting", ICML Time Series Workshop 2017.
  ☆119Updated 5 years ago
• cran2367 / lstm_autoencoder_classifier
  An LSTM Autoencoder for rare event classification
  ☆105Updated 5 years ago