Alternatives and similar repositories for modern-time-series

Users that are interested in modern-time-series are comparing it to the libraries listed below

• PacktPublishing / Modern-Time-Series-Forecasting-with-Python-2E
  Modern Time Series Forecasting with Python 2E, Published by Packt
  ☆171Updated last month
• PacktPublishing / Deep-Learning-for-Time-Series-Data-Cookbook
  B21145 - Deep Learning for Time Series Data Cookbook
  ☆69Updated last month
• PacktPublishing / Forecasting-Time-Series-Data-with-Facebook-Prophet
  Forecasting Time-Series Data with Facebook Prophet, published by Packt
  ☆105Updated last month
• marcopeix / AppliedTimeSeriesForecastingInPython
  Repository with data, starter notebooks, and solution notebooks for my course Applied Time Series Forecasting in Python
  ☆57Updated 2 months ago
• ajitsingh98 / Time-Series-Analysis-and-Forecasting-with-Python
  Time Series Analysis and Forecasting in Python
  ☆197Updated last year
• danielhkt / deep-forecasting
  Perform multivariate time series forecasting using LSTM networks and DeepLIFT for interpretation
  ☆87Updated 3 years ago
• trainindata / feature-engineering-for-time-series-forecasting
  Code repository for the online course "Feature Engineering for Time Series Forecasting".
  ☆191Updated last year
• PacktPublishing / Machine-Learning-for-Time-Series-with-Python
  Machine Learning for Time-Series with Python.Published by Packt
  ☆297Updated last month
• takechanman1228 / Effective-Uplift-Modeling
  ☆23Updated last year
• Valdecy / pyInterDemand
  A python Library for Intermittent Demand Methods: Croston, SBA, SBJ, TSB, HES, LES and SES
  ☆38Updated last year
• marcopeix / TimeSeriesForecastingUsingFoundationModels
  Official repository for the book Time Series Forecasting with Foundation Models
  ☆27Updated last week
• PacktPublishing / Python-Feature-Engineering-Cookbook-Third-Edition
  Python Feature Engineering Cookbook, Third Edition, published by Packt
  ☆63Updated last month
• Farmhouse121 / Financial-Data-Science-in-Python
  This collects the scripts and notebooks required to reproduce my published work.
  ☆48Updated this week
• microprediction / timeseries-notebooks
  Hello world univariate examples for a variety of time series packages.
  ☆57Updated last year
• flo7up / relataly-public-python-tutorials
  Beginner-friendly collection of Python notebooks for various use cases of machine learning, deep learning, and analytics. For each notebo…
  ☆155Updated 2 years ago
• h3ik0th / TFT_darts
  probabilistic forecasting with Temporal Fusion Transformer
  ☆40Updated 3 years ago
• SpencerLuck / Regime-Analysis
  Time series regime analysis in python
  ☆13Updated 3 years ago
• marcopeix / intermittent_time_series
  ☆13Updated 2 years ago
• Nixtla / fpp3-python
  Forecasting: principles and practice in python
  ☆190Updated 2 years ago
• dataman-git / Handbook-of-anomaly-detection
  ☆19Updated 2 weeks ago
• PacktPublishing / Modern-Time-Series-Forecasting-with-Python
  Modern Time Series Forecasting with Python, published by Packt
  ☆532Updated last month
• PacktPublishing / Time-Series-Analysis-with-Python-Cookbook
  Time Series Analysis with Python Cookbook, published by Packt
  ☆284Updated last month
• TsLu1s / tsforecasting
  TSForecasting: Automated Time Series Forecasting Framework
  ☆29Updated 11 months ago
• Farmhouse121 / Adventures-in-Financial-Data-Science
  Here I am collecting the scripts I have used to prepare my book "Adventures in Financial Data Science" and to support my other writing, s…
  ☆64Updated 6 months ago
• dataman-git / codes_for_articles
  ☆180Updated 4 months ago
• DataForScience / Timeseries
  Timeseries for everyone
  ☆262Updated 2 years ago
• AliHabibnia / CMDA_4984_Data_Science_for_Quantitative_Finance
  This course in applied data science covers the theoretical foundations of advanced quantitative approaches in machine learning, econometr…
  ☆44Updated 6 months ago
• Nike-Inc / timeseries-generator
  A library to generate synthetic time series data by easy-to-use factors and generator
  ☆154Updated last year
• KasperGroesLudvigsen / xgboost_time_series
  How to use XGBoost for multi-step time series forecasting
  ☆40Updated 2 years ago
• Mcompetitions / M6-methods
  Data, Benchmarks, and methods submitted to the M6 forecasting competition
  ☆125Updated last year