Alternatives and similar repositories for RNN

Users that are interested in RNN are comparing it to the libraries listed below

• DataForScience / Timeseries_LL
  Time Series Modeling: ML and Deep Learning Approaches with Python
  ☆22Updated 4 years ago
• kperry2215 / electricity_price_time_series_analysis
  This project pulls electricity price data from the EIA API, and then performs time series analysis on it, including time series decomposi…
  ☆13Updated 6 years ago
• WillKoehrsen / mastering-large-datasets
  Work for Mastering Large Datasets with Python
  ☆20Updated 3 years ago
• SimonOuellette35 / Introduction_to_PyMC3
  ☆39Updated 7 years ago
• firmai / python-for-finance
  ☆14Updated 6 years ago
• DrDub / artfeateng
  Code for the book Art of Feature Engineering
  ☆32Updated 3 years ago
• CamDavidsonPilon / PyDataNY_2019_tutorial
  Repo for PyData 2019 Tutorial - New Trends in Estimation and Inference
  ☆26Updated 6 years ago
• octoenergy / timeserio
  Better `keras` models for time series and beyond
  ☆61Updated last year
• fastforwardlabs / structural-time-series
  Structural Time Series on US electricity demand data
  ☆22Updated 4 years ago
• tirthajyoti / mlr
  Multiple linear regression with statistical inference, residual analysis, direct CSV loading, and other features
  ☆34Updated 6 years ago
• yhilpisch / dnanlp
  Python codes and Jupyter Notebooks for the Dow Jones DNA NLP applied research paper.
  ☆16Updated 6 years ago
• ryanmark1867 / deep_learning_for_structured_data
  Production repo to accompany Deep Learning with Structured Data book from Manning: https://www.manning.com/books/deep-learning-with-struc…
  ☆73Updated 4 years ago
• bclark86 / business-analytics
  Collection of business analytics case studies that leverage data science methods to create business value (R and Python)
  ☆12Updated 6 years ago
• rakshita95 / DeepLearning-time-series
  LSTM for time series forecasting
  ☆29Updated 8 years ago
• johntwk / Python-ML-rolling-grid-search
  Hyperparameter tuning and rolling time-series forecast for machine learning models
  ☆18Updated 8 years ago
• Apress / implementing-machine-learning-finance
  Source Code for 'Implementing Machine Learning for Finance' by Tshepo Chris Nokeri
  ☆33Updated 4 years ago
• algobeans / Time-Series-Forecasting
  Code to 1) scrap wikipedia page view counts, and to 2) conduct time series analysis with GAM
  ☆47Updated 8 years ago
• microprediction / timeseries-notebooks
  Hello world univariate examples for a variety of time series packages.
  ☆57Updated last year
• Apress / Machine-Learning-for-Economics-and-Finance-in-TensorFlow-2
  source code
  ☆43Updated 4 years ago
• PacktPublishing / Hands-On-Automated-Machine-Learning
  Hands-On Automated Machine Learning, published by Packt
  ☆71Updated 2 years ago
• mainkoon81 / Study-02-AB-Testing
  Hypothesis testing (Parametric/Non-Parametric)
  ☆11Updated 6 years ago
• llllllllll / osu-talk
  Slides for my PyData NYC 2017 talk.
  ☆14Updated 7 years ago
• drivendataorg / power-laws-forecasting
  Winners of the Power Laws forecasting competition
  ☆64Updated 2 years ago
• KevinFasusi / supplychainpy_notebooks
  Jupyter Notebooks for supplychainpy
  ☆23Updated 8 years ago
• druce / Machine-learning-for-financial-market-prediction
  Machine Learning for Financial Market Prediction
  ☆59Updated 6 years ago
• PacktPublishing / Mastering-Machine-Learning-Algorithms-Second-Edition
  Mastering Machine Learning Algorithms Second Edition, published by Packt
  ☆64Updated 4 years ago
• etcrago / Tutorial-Arima-w-jeffrey-yau
  ☆98Updated 7 years ago
• chuanyun / Deep-Learning-in-Time-Series
  Deep learning in time series analysis
  ☆13Updated 7 years ago
• AllenDowney / SurvivalAnalysisPython
  Explorations of survival analysis in Python
  ☆50Updated 2 years ago
• sarincr / Time-series-analysis-using-Python
  Time series analysis comprises methods for analyzing time series data in order to extract meaningful statistics and other characteristics…
  ☆34Updated 6 years ago