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 3 years ago
• fastforwardlabs / structural-time-series
  Structural Time Series on US electricity demand data
  ☆22Updated 4 years ago
• SimonOuellette35 / PyData-talk---Intro-to-PyMC3
  Companion code for my PyData talk: "Introduction to Probabilistic Programming with PyMC3"
  ☆13Updated 5 years ago
• CamDavidsonPilon / PyDataNY_2019_tutorial
  Repo for PyData 2019 Tutorial - New Trends in Estimation and Inference
  ☆25Updated 5 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…
  ☆33Updated 5 years ago
• firmai / python-for-finance
  ☆14Updated 5 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…
  ☆72Updated 3 years ago
• MaartenGr / feature-engineering
  Tips for Advanced Feature Engineering
  ☆52Updated 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…
  ☆12Updated 5 years ago
• WillKoehrsen / mastering-large-datasets
  Work for Mastering Large Datasets with Python
  ☆18Updated 2 years ago
• manikandanj2207 / dataibreathe
  Code repository supporting the medium blog
  ☆13Updated 5 years ago
• DrDub / artfeateng
  Code for the book Art of Feature Engineering
  ☆31Updated 3 years ago
• yhilpisch / dnanlp
  Python codes and Jupyter Notebooks for the Dow Jones DNA NLP applied research paper.
  ☆16Updated 6 years ago
• dushyantkhosla / ts-forecasting-ensemble
  CentOS based Docker container for Time Series Analysis and Modeling.
  ☆21Updated 5 years ago
• PacktPublishing / Hands-on-Unsupervised-Learning-with-Python
  Hands on Unsupervised Learning with Python [Video], Published by Packt
  ☆29Updated 2 years ago
• ritchieng / the-incredible-tensorflow
  The Incredible TensorFlow 2: a curated list of tutorials, papers, projects, communities and more relating to TensorFlow 2.
  ☆30Updated 5 years ago
• stefan-jansen / topic-modeling
  ☆14Updated 2 years ago
• thedataincubator / excel-to-python
  Examples of how Python can speed up tasks that are cumbersome in Excel
  ☆13Updated 8 years ago
• IDB-FOR-DATASCIENCE / Predictive-Excellence-Engine
  In this notebook, we will create an AI and time serie driven forecasting engine based on a set of 5 AI models and 5 time series models an…
  ☆14Updated 3 years ago
• Apress / implementing-machine-learning-finance
  Source Code for 'Implementing Machine Learning for Finance' by Tshepo Chris Nokeri
  ☆32Updated 3 years ago
• PacktPublishing / Mastering-Machine-Learning-Algorithms-Second-Edition
  Mastering Machine Learning Algorithms Second Edition, published by Packt
  ☆61Updated 4 years ago
• PacktPublishing / Mastering-Unsupervised-learning-with-Python
  Code Repository for Mastering Unsupervised learning with Python, Published by Packt
  ☆27Updated 2 years ago
• Apress / Machine-Learning-for-Economics-and-Finance-in-TensorFlow-2
  source code
  ☆42Updated 4 years ago
• alteryx / predict-household-poverty
  Predict the poverty of households in Costa Rica using automated feature engineering.
  ☆23Updated 4 years ago
• PacktPublishing / Practical-Time-Series-Analysis-V-
  Practical Time Series Analysis (V), published by Packt
  ☆13Updated 4 years ago
• Vishwacorp / nyc_uber_forecasting
  Forecasting Uber demand in NYC neighborhoods
  ☆34Updated 6 years ago
• AlexIoannides / lime-interpretable-ml
  An example of how the LIME algorithm can be used to provide real-world insight into the decision processes of a 'black-box' machine learn…
  ☆15Updated 6 years ago
• susanli2016 / Statistics-with-Python
  ☆26Updated 5 years ago
• juanitorduz / ml_prod_tutorial
  Explore tips and tricks to deploy machine learning models with Docker.
  ☆13Updated last year
• johntwk / Python-ML-rolling-grid-search
  Hyperparameter tuning and rolling time-series forecast for machine learning models
  ☆17Updated 7 years ago