Nixtla / mlforecastLinks
Scalable machine 🤖 learning for time series forecasting.
☆1,093Updated this week
Alternatives and similar repositories for mlforecast
Users that are interested in mlforecast are comparing it to the libraries listed below
Sorting:
- Probabilistic Hierarchical forecasting 👑 with statistical and econometric methods.☆712Updated this week
- Automated Time Series Forecasting☆1,331Updated this week
- Time series forecasting with machine learning models☆1,402Updated this week
- Calculates various features from time series data. Python implementation of the R package tsfeatures.☆435Updated last year
- Time-series machine learning at scale. Built with Polars for embarrassingly parallel feature extraction and forecasts on panel data.☆1,155Updated last month
- The practitioner's forecasting library☆345Updated 2 weeks ago
- Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost Models on Time Series data sets with a Single Line of Code. Created by Ra…☆763Updated last year
- Lightning ⚡️ fast forecasting with statistical and econometric models.☆4,587Updated this week
- Temporian is an open-source Python library for preprocessing ⚡ and feature engineering 🛠 temporal data 📈 for machine learning applicati…☆703Updated 2 weeks ago
- A scikit-learn-compatible library for estimating prediction intervals and controlling risks, based on conformal predictions.☆1,486Updated last week
- Flexible time series feature extraction & processing☆432Updated last year
- Use advanced feature engineering strategies and select best features from your data set with a single line of code. Created by Ram Seshad…☆673Updated 8 months ago
- Scalable and user friendly neural forecasting algorithms.☆3,832Updated this week
- Predict time-series with one line of code.☆433Updated last year
- Forecasting with Gradient Boosted Time Series Decomposition☆197Updated 2 years ago
- An extension of LightGBM to probabilistic modelling☆343Updated 3 months ago
- A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.☆2,014Updated 5 months ago
- A python library for time-series smoothing and outlier detection in a vectorized way.☆769Updated last year
- A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.☆580Updated last year
- A toolkit for time series machine learning and deep learning☆1,268Updated this week
- Luminaire is a python package that provides ML driven solutions for monitoring time series data.☆793Updated 3 months ago
- Python package for conformal prediction☆541Updated last month
- Transfer 🤗 Learning for Time Series Forecasting☆254Updated 11 months ago
- An intuitive library to extract features from time series.☆1,056Updated 2 months ago
- TimeGPT-1: production ready pre-trained Time Series Foundation Model for forecasting and anomaly detection. Generative pretrained transf…☆3,527Updated this week
- An extension of XGBoost to probabilistic modelling☆664Updated 2 weeks ago
- A Tree based feature selection tool which combines both the Boruta feature selection algorithm with shapley values.☆638Updated last year
- Feature engineering package with sklearn like functionality☆2,156Updated last week
- Data, Benchmarks, and methods submitted to the M5 forecasting competition☆643Updated 2 years ago
- Resources for working with time series and sequence data☆642Updated 3 months ago