pysf
Forecasting library
A Python library for supervised forecasting of sequential data
Supervised forecasting of sequential data in Python.
55 stars
9 watching
8 forks
Language: Python
last commit: about 6 years ago Related projects:
Repository | Description | Stars |
---|---|---|
| A unified framework for probabilistic regression and prediction with Python-based tools. | 250 |
| A Python library for building machine learning models to forecast time series data | 1,189 |
| A flexible forecasting and anomaly detection library for time series data | 1,815 |
| A comprehensive time series modeling library with various statistical models and inference methods. | 2,114 |
| A Python framework for ensemble prediction and forecast verification in various weather-related fields | 477 |
| A Python package for time series classification and analysis | 1,781 |
| A systematic futures trading framework using trend following algorithms and interacting with multiple data sources | 379 |
| A package designed to automate machine learning pipelines for short-term energy forecasting using Python. | 94 |
| A Python module for statistical learning with an emphasis on time-dependent modeling, providing tools for machine learning, point-process modeling, and optimization. | 495 |
| A structured learning and prediction library for Python | 664 |
| A Python library for detecting trends in time series data and analyzing their characteristics. | 128 |
| A framework to perform time series forecasting using machine learning models on large datasets. | 924 |
| A MicroPython implementation of time formatting functions | 2 |
| A unified framework for machine learning with time series data analysis | 8,020 |
| Provides metrics for verifying deterministic and probabilistic forecasts in climate science | 225 |