aeon-toolkit / aeonLinks
A toolkit for time series machine learning and deep learning
☆1,295Updated this week
Alternatives and similar repositories for aeon
Users that are interested in aeon are comparing it to the libraries listed below
Sorting:
- Unified Training of Universal Time Series Forecasting Transformers☆1,337Updated last month
- Scalable machine 🤖 learning for time series forecasting.☆1,121Updated this week
- An intuitive library to extract features from time series.☆1,065Updated 3 months ago
- Automated Time Series Forecasting☆1,335Updated this week
- Probabilistic Hierarchical forecasting 👑 with statistical and econometric methods.☆718Updated last week
- A Python package for time series classification☆1,866Updated 5 months ago
- Lag-Llama: Towards Foundation Models for Probabilistic Time Series Forecasting☆1,510Updated 6 months ago
- catch22: CAnonical Time-series CHaracteristics☆448Updated 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.☆1,158Updated 2 months ago
- Lightning ⚡️ fast forecasting with statistical and econometric models.☆4,615Updated last week
- Temporian is an open-source Python library for preprocessing ⚡ and feature engineering 🛠 temporal data 📈 for machine learning applicati…☆704Updated last month
- MOMENT: A Family of Open Time-series Foundation Models, ICML'24☆672Updated 6 months ago
- Scalable and user friendly neural forecasting algorithms.☆3,884Updated this week
- TimeGPT-1: production ready pre-trained Time Series Foundation Model for forecasting and anomaly detection. Generative pretrained transf…☆3,558Updated last week
- Foundation Models for Time Series☆738Updated this week
- N-BEATS is a neural-network based model for univariate timeseries forecasting. N-BEATS is a ServiceNow Research project that was started …☆594Updated 3 years ago
- A Python toolkit/library for reality-centric machine/deep learning and data mining on partially-observed time series, including SOTA neur…☆1,901Updated last week
- DEPRECATED, now in sktime - companion package for deep learning based on TensorFlow☆600Updated last year
- Resources about time series forecasting and deep learning.☆746Updated last week
- A python library for time-series smoothing and outlier detection in a vectorized way.☆771Updated 2 years ago
- Resources for working with time series and sequence data☆646Updated 4 months ago
- PyTorch code for Learning Deep Time-index Models for Time Series Forecasting (ICML 2023)☆366Updated 7 months ago
- PiML (Python Interpretable Machine Learning) toolbox for model development & diagnostics☆1,277Updated 8 months ago
- A comprehensive survey on the time series domains☆543Updated last year
- A scikit-learn-compatible library for estimating prediction intervals and controlling risks, based on conformal predictions.☆1,496Updated this week
- Flexible time series feature extraction & processing☆436Updated last year
- Zero-shot Time Series Forecasting with TabPFN (work accepted at NeurIPS 2024 TRL and TSALM workshops)☆318Updated this week
- Time series forecasting with machine learning models☆1,417Updated this week
- ROCKET: Exceptionally fast and accurate time series classification using random convolutional kernels☆456Updated 3 years ago