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azureml-examples

Official community-driven Azure Machine Learning examples, tested with GitHub Actions.

blog

coreforecast

Fast implementations of common forecasting routines

dashcon-2020-all-your-queues

Repo for DashCon 2020 talk All Your Queues Belong To Us: Optimizing the human in the loop

datasetsforecast

Datasets for time series forecasting

docs

driverlessai-recipes

Recipes for Driverless AI

fpp3-python

Forecasting: principles and practice in python

gluonts-hierarchical-icml-2021

hierarchicalforecast

Probabilistic Hierarchical forecasting 👑 with statistical and econometric methods.

hierarchicalforecast-sparse

Probabilistic Hierarchical forecasting 👑 with statistical and econometric methods.

how-to-contribute-nixtlaverse

Instruction to contribute to the Nixtla libraries

informer2020

The GitHub repository for the paper "Informer" accepted by AAAI 2021.

inkeep-ai-api-python

python sdk for inkeep

m4-forecasts

ZIP version of M4 forecasts uploaded to https://github.com/Mcompetitions/M4-methods/tree/master/Point%20Forecasts.

m5-forecasts

ZIP version of dataset and forecasts uploaded to https://drive.google.com/drive/folders/1D6EWdVSaOtrP1LEFh1REjI3vej6iUS_4.

methodologies

Methodologies for Nixtla contributors

mlforecast

Scalable machine 🤖 learning for time series forecasting.

neuralforecast

Scalable and user friendly neural :brain: forecasting algorithms.

nixtla

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 🚀.

nixtla-commons

Nixtla shared assets

nixtlar

R SDK for TimeGPT

nixtlats

nixtlaverse-issue-template

popol-vuh

Popol Vuh: Nixtla's operating system

public-slides

Nixtla Public Slides

statsforecast

Lightning ⚡️ fast forecasting with statistical and econometric models.

styles