timemachines
Predictor
Provides a simple and unified interface to various univariate time-series prediction algorithms
Predict time-series with one line of code.
413 stars
13 watching
50 forks
Language: Python
last commit: 3 months ago predictionprediction-algorithmpredictionspredictive-modelingtime-seriestime-series-analysistimeseriestimeseries-analysistimeseries-datatimeseries-forecasting
Related projects:
| Repository | Description | Stars |
|---|---|---|
 timestocome/test-stock-prediction-algorithms | An experimental repository exploring time series analysis and prediction techniques using various machine learning approaches. | 422 |
 predict-idlab/tsflex | A toolkit for flexible time series processing and feature extraction. | 405 |
 sktime/skpro | A unified framework for probabilistic regression and prediction with Python-based tools. | 250 |
 robertmartin8/machinelearningstocks | A Python project applying machine learning to predict stock price movements based on historical data and fundamental analysis. | 1,781 |
 tgjeon/tensorflow-tutorials-for-time-series | A comprehensive guide to time series prediction using TensorFlow | 1,108 |
 nixtla/mlforecast | A framework to perform time series forecasting using machine learning models on large datasets. | 924 |
| predict-idlab/plotly-resampler | Library for dynamically aggregating large time series data in Plotly figures | 1,053 |
 denissimon/prediction-builder-swift | A linear regression library for building predictions in machine learning | 12 |
 johannfaouzi/pyts | A Python package for time series classification and analysis | 1,781 |
 uber/orbit | A Python package for Bayesian time series forecasting and inference with probabilistic programming languages under the hood. | 1,899 |
 edgararuiz/tidypredict | An R package for translating predictive models into executable SQL queries to run predictions inside databases. | 2 |
 microsoft/aurora | An implementation of a machine learning model for predicting atmospheric variables | 267 |
 vivekpa/aialpha | This project trains machine learning models to predict stock returns using various algorithms and techniques. | 1,745 |
 alkaline-ml/pmdarima | A statistical library for time series analysis and forecasting | 1,603 |
 eli5-org/eli5 | A Python package for debugging and explaining predictions of machine learning classifiers | 265 |