microsoft / finnts
Microsoft Finance Time Series Forecasting Framework (FinnTS) is a forecasting package that utilizes cutting-edge time series forecasting and parallelization on the cloud to produce accurate forecasts for financial data.
☆188Updated 3 weeks ago
Related projects ⓘ
Alternatives and complementary repositories for finnts
- Applied Time Series Analysis and Forecasting☆167Updated last year
- Materials for the AI Dev 2024 conference workshop "Deploy and Monitor ML Pipelines with Python, Open Source, and Free Applications"☆91Updated this week
- Resources for Survival Analysis☆92Updated last month
- Azure Machine Learning SDK for R☆105Updated 2 years ago
- ☆40Updated last month
- Python library for Applied Computational Supply Chain & Logistics. Unlock Neural Nets, Bayesian EOQ, Optimization, Time Series, and more …☆60Updated this week
- Deploying flexdashboard on Github Pages with Docker and Github Actions☆215Updated 10 months ago
- Website sources for Applied Machine Learning for Tabular Data☆127Updated this week
- A guide for deploying Shinylive Python application into Github Pages☆133Updated 10 months ago
- Forecasting at Scale☆12Updated 10 months ago
- The Tidymodels Extension for Time Series Boosting Models☆56Updated 2 years ago
- Materials for the the Analyzing Time Series at Scale with Cluster Analysis in R Workshop☆19Updated last month
- Modeltime unlocks time series forecast models and machine learning in one framework☆540Updated last month
- Family of packages for interacting with Azure from R☆185Updated 2 years ago
- Pymodeltime offers a unified framework tailored to address a broad spectrum of requirements, including time series forecasting and variou…☆12Updated 9 months ago
- Forecast the US demand for electricity☆100Updated 2 years ago
- Methods and tools for multistep-ahead time series conformal prediction.☆30Updated last week
- GluonTS Deep Learning with Modeltime☆39Updated 10 months ago
- Trees are all you need☆113Updated 5 months ago
- Materials for the useR!2024 conference workshop "Deploy and Monitor ML Pipelines with R, Open Source, and Free Applications"☆55Updated this week
- Supplemental R Examples on Applied Conformal Prediction. These examples follow Practical Guide to Applied Conformal Prediction in Python,…☆42Updated 10 months ago
- The repository to showcase the best framework for tabular data - the Awesome CatBoost☆180Updated 2 months ago
- All data sets required for the examples and exercises in the book "Forecasting: principles and practice" (3rd ed, 2020) by Rob J Hyndman …☆138Updated 2 months ago
- Source for book "Feature Engineering A-Z"☆103Updated last week
- R package for automation of machine learning, forecasting, model evaluation, and model interpretation☆236Updated 3 months ago
- Example Shiny for Python app which talks to the OpenAI API☆75Updated last month
- Sample code for deploying R model for real-time scoring on Azure☆19Updated 4 years ago
- Conformal Time Series Forecasting Using State of Art Machine Learning Algorithms☆24Updated 2 years ago
- ☆38Updated 3 years ago
- A book on DevOps for Data Scientists with CRC Press.☆138Updated 3 months ago