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
  ☆137Updated 3 weeks ago
• PacktPublishing / Python-Feature-Engineering-Cookbook-Third-Edition
  Python Feature Engineering Cookbook, Third Edition, published by Packt
  ☆55Updated 3 weeks ago
• marcopeix / AppliedTimeSeriesForecastingInPython
  Repository with data, starter notebooks, and solution notebooks for my course Applied Time Series Forecasting in Python
  ☆51Updated 4 months ago
• marcopeix / intermittent_time_series
  ☆13Updated last year
• PacktPublishing / Forecasting-Time-Series-Data-with-Facebook-Prophet
  Forecasting Time-Series Data with Facebook Prophet, published by Packt
  ☆105Updated 2 years ago
• PacktPublishing / Deep-Learning-for-Time-Series-Data-Cookbook
  B21145 - Deep Learning for Time Series Data Cookbook
  ☆57Updated 3 weeks ago
• marcopeix / TimeSeriesForecastingUsingFoundationModels
  Official repository for the book Time Series Forecasting with Foundation Models
  ☆23Updated last month
• SaremS / sample_notebooks
  Loose collection of Jupyter notebooks, mostly for my blog
  ☆28Updated 6 months ago
• takechanman1228 / Effective-Uplift-Modeling
  ☆22Updated 10 months ago
• Valdecy / pyInterDemand
  A python Library for Intermittent Demand Methods: Croston, SBA, SBJ, TSB, HES, LES and SES
  ☆35Updated last year
• dataman-git / Handbook-of-anomaly-detection
  ☆17Updated 7 months ago
• SpencerLuck / Regime-Analysis
  Time series regime analysis in python
  ☆13Updated 2 years ago
• TsLu1s / tsforecasting
  TSForecasting: Automated Time Series Forecasting Framework
  ☆28Updated 6 months ago
• danielhkt / deep-forecasting
  Perform multivariate time series forecasting using LSTM networks and DeepLIFT for interpretation
  ☆89Updated 3 years ago
• KasperGroesLudvigsen / xgboost_time_series
  How to use XGBoost for multi-step time series forecasting
  ☆38Updated 2 years ago
• h3ik0th / TFT_darts
  probabilistic forecasting with Temporal Fusion Transformer
  ☆41Updated 3 years ago
• microprediction / timeseries-notebooks
  Hello world univariate examples for a variety of time series packages.
  ☆56Updated 8 months ago
• trainindata / feature-engineering-for-time-series-forecasting
  Code repository for the online course "Feature Engineering for Time Series Forecasting".
  ☆186Updated last year
• erdogant / hgboost
  hgboost is a python package for hyper-parameter optimization for xgboost, catboost or lightboost using cross-validation, and evaluating t…
  ☆64Updated 3 months ago
• Apress / advanced-forecasting-python
  Source Code for 'Advanced Forecasting with Python' by Joos Korstanje
  ☆73Updated 3 years ago
• mikekeith52 / scalecast-examples
  Examples of the application of individual scalecast models
  ☆45Updated last year
• saeed349 / Advances-in-Financial-Machine-Learning
  Using Dask, a Python framework, I handle 900 million rows of S&P E-mini futures trade tick data directly on a local machine. Through expl…
  ☆39Updated last year
• keyvantaj / Quantitative
  Alpha Generation using Data Science and Quantitative Analysis with integrated Risk Model
  ☆44Updated 4 years ago
• microprediction / m6
  M6-Forecasting competition
  ☆43Updated last year
• SimonOuellette35 / SVmodels
  Stochastic volatility models
  ☆18Updated 6 years ago
• crunchdao / quickstarters-adialab
  ☆50Updated last year
• tblume1992 / TSUtilities
  Various utilities for time series forecasting
  ☆10Updated 2 years ago
• yhilpisch / aifin
  Resources for the AI in Finance Workshop at Texas State University (October 2023).
  ☆52Updated last year
• PJalgotrader / Deep_forecasting-USU
  GitHub repository for deep forecasting courses owned and maintained by prof. Jahangiry
  ☆30Updated last month
• trainindata / forecasting-with-machine-learning
  Code repository for the course "Forecasting with Machine Learning Models"
  ☆23Updated 2 months ago