mlforecast
Forecasting library
A framework to perform time series forecasting using machine learning models on large datasets.
Scalable machine 🤖 learning for time series forecasting.
924 stars
12 watching
91 forks
Language: Python
last commit: 2 months ago
Linked from 2 awesome lists
daskforecastforecastinglightgbmmachine-learningpythontime-seriesxgboost
georgezouq/awesome-ai-in-finance
krzjoa/awesome-python-data-scienceRelated projects:
| Repository | Description | Stars |
|---|---|---|
 skforecast/skforecast | A Python library for building machine learning models to forecast time series data | 1,189 |
| nixtla/transfer-learning-time-series | A framework for applying pre-trained models to time series forecasting tasks | 237 |
 alkaline-ml/pmdarima | A statistical library for time series analysis and forecasting | 1,603 |
 x-datainitiative/tick | A Python module for statistical learning with an emphasis on time-dependent modeling, providing tools for machine learning, point-process modeling, and optimization. | 495 |
 microprediction/timemachines | Provides a simple and unified interface to various univariate time-series prediction algorithms | 413 |
 dmbee/seglearn | A machine learning tool for time series data analysis and modeling | 573 |
 jaungiers/multidimensional-lstm-bitcoin-time-series | A Python implementation using LSTM neural networks to forecast Bitcoin price based on time series data | 337 |
 predict-idlab/tsflex | A toolkit for flexible time series processing and feature extraction. | 405 |
 damitkwr/esrnn-gpu | A PyTorch implementation of an optimized deep learning model for time series forecasting on GPUs. | 319 |
 hfawaz/dl-4-tsc | This project provides a framework for evaluating and comparing different deep learning architectures for time series classification tasks. | 1,576 |
 mohaseeb/shaplets-python | A Python implementation of a shapelet-based time-series classification algorithm using gradient descent. | 217 |
 rjt1990/pyflux | A comprehensive time series modeling library with various statistical models and inference methods. | 2,114 |
 johannfaouzi/pyts | A Python package for time series classification and analysis | 1,781 |
 sintel-dev/draco | A collection of end-to-end solutions for machine learning tasks commonly found in time series monitoring systems | 53 |
 mllam/neural-lam | A software framework for training and evaluating neural networks for weather prediction in specific geographic areas. | 126 |