Nixtla / nixtlaLinks
TimeGPT-1: production ready pre-trained Time Series Foundation Model for forecasting and anomaly detection. Generative pretrained transformer for time series trained on over 100B data points. It's capable of accurately predicting various domains such as retail, electricity, finance, and IoT with just a few lines of code 🚀.
☆3,596Updated this week
Alternatives and similar repositories for nixtla
Users that are interested in nixtla are comparing it to the libraries listed below
Sorting:
- Lag-Llama: Towards Foundation Models for Probabilistic Time Series Forecasting☆1,515Updated 6 months ago
- Scalable and user friendly neural forecasting algorithms.☆3,889Updated this week
- Unified Training of Universal Time Series Forecasting Transformers☆1,343Updated last month
- Lightning ⚡️ fast forecasting with statistical and econometric models.☆4,633Updated last week
- Scalable machine 🤖 learning for time series forecasting.☆1,127Updated this week
- Chronos: Pretrained Models for Time Series Forecasting☆4,529Updated this week
- Automated Time Series Forecasting☆1,336Updated last week
- Foundation Models for Time Series☆741Updated this week
- A toolkit for time series machine learning and deep learning☆1,303Updated this week
- A python library for user-friendly forecasting and anomaly detection on time series.☆9,103Updated this week
- Merlion: A Machine Learning Framework for Time Series Intelligence☆4,469Updated last year
- ☆814Updated last year
- TimesFM (Time Series Foundation Model) is a pretrained time-series foundation model developed by Google Research for time-series forecast…☆7,343Updated this week
- Time series forecasting with machine learning models☆1,421Updated this week
- Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analy…☆6,260Updated 2 weeks ago
- [ICLR 2024] Official implementation of " 🦙 Time-LLM: Time Series Forecasting by Reprogramming Large Language Models"☆2,432Updated 2 months ago
- NeuralProphet: A simple forecasting package☆4,213Updated 11 months ago
- Probabilistic time series modeling in Python☆5,091Updated 4 months ago
- Probabilistic Hierarchical forecasting 👑 with statistical and econometric methods.☆720Updated this week
- [ICLR 2025 Spotlight] Official implementation of "Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts"☆850Updated last week
- A Python toolkit/library for reality-centric machine/deep learning and data mining on partially-observed time series, including SOTA neur…☆1,907Updated 2 weeks ago
- Time series forecasting with PyTorch☆4,701Updated this week
- MOMENT: A Family of Open Time-series Foundation Models, ICML'24☆675Updated 7 months ago
- Time-series machine learning at scale. Built with Polars for embarrassingly parallel feature extraction and forecasts on panel data.☆1,161Updated 2 months ago
- Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).☆2,262Updated 2 weeks ago
- Collection of notebooks for time series analysis☆421Updated last month
- Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series an…☆5,927Updated 4 months ago
- A unified multi-task time series model.☆598Updated last year
- An intuitive library to extract features from time series.☆1,066Updated 3 months ago
- Multivariate Time Series Forecasting with efficient Transformers. Code for the paper "Long-Range Transformers for Dynamic Spatiotemporal …☆873Updated last year