aeon-toolkit / aeonLinks
A toolkit for time series machine learning and deep learning
☆1,333Updated 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☆1,408Updated last week
- An intuitive library to extract features from time series.☆1,075Updated last week
- Automated Time Series Forecasting☆1,343Updated last week
- Scalable machine 🤖 learning for time series forecasting.☆1,157Updated this week
- A Python package for time series classification☆1,867Updated 7 months ago
- TimeGPT-1: production ready pre-trained Time Series Foundation Model for forecasting and anomaly detection. Generative pretrained transf…☆3,650Updated this week
- Probabilistic Hierarchical forecasting 👑 with statistical and econometric methods.☆728Updated last week
- Flexible time series feature extraction & processing☆436Updated last year
- Calculates various features from time series data. Python implementation of the R package tsfeatures.☆440Updated last year
- MOMENT: A Family of Open Time-series Foundation Models, ICML'24☆702Updated 8 months ago
- ROCKET: Exceptionally fast and accurate time series classification using random convolutional kernels☆458Updated 3 years ago
- catch22: CAnonical Time-series CHaracteristics☆459Updated this week
- Resources for working with time series and sequence data☆659Updated 6 months ago
- Time-series machine learning at scale. Built with Polars for embarrassingly parallel feature extraction and forecasts on panel data.☆1,166Updated 4 months ago
- Scalable and user friendly neural forecasting algorithms.☆3,959Updated this week
- N-BEATS is a neural-network based model for univariate timeseries forecasting. N-BEATS is a ServiceNow Research project that was started …☆604Updated 3 years ago
- Transfer 🤗 Learning for Time Series Forecasting☆257Updated last year
- Resources about time series forecasting and deep learning.☆764Updated this week
- Lag-Llama: Towards Foundation Models for Probabilistic Time Series Forecasting☆1,542Updated 8 months ago
- A comprehensive survey on the time series domains☆545Updated last year
- A Python toolkit/library for reality-centric machine/deep learning and data mining on partially-observed time series, including SOTA neur…☆1,944Updated 3 weeks ago
- MINIROCKET: A Very Fast (Almost) Deterministic Transform for Time Series Classification☆328Updated 3 years ago
- A python library for time-series smoothing and outlier detection in a vectorized way.☆771Updated 2 years ago
- DEPRECATED, now in sktime - companion package for deep learning based on TensorFlow☆599Updated last year
- Foundation Models for Time Series☆775Updated last week
- Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).☆2,272Updated this week
- SKAB - Skoltech Anomaly Benchmark. Time-series data for evaluating Anomaly Detection algorithms.☆380Updated last year
- PyTorch code for Learning Deep Time-index Models for Time Series Forecasting (ICML 2023)☆366Updated 9 months ago
- A unified multi-task time series model.☆612Updated last year
- list of papers, code, and other resources☆1,041Updated 5 months ago