Nixtla's repositories
statsforecast
Lightning ⚡️ fast forecasting with statistical and econometric models.
neuralforecast
Scalable and user friendly neural :brain: forecasting algorithms.
mlforecast
Scalable machine 🤖 learning for time series forecasting.
hierarchicalforecast
Probabilistic Hierarchical forecasting 👑 with statistical and econometric methods.
tsfeatures
Calculates various features from time series data. Python implementation of the R package tsfeatures.
transfer-learning-time-series
Transfer 🤗 Learning for Time Series Forecasting
datasetsforecast
Datasets for time series forecasting
timegpt-forecaster-streamlit
TimeGPT forecaster example using streamlit
coreforecast
Fast implementations of common forecasting routines
public-slides
Nixtla Public Slides
fpp3-python
Forecasting: principles and practice in python
how-to-contribute-nixtlaverse
Instruction to contribute to the Nixtla libraries
Informer2020
The GitHub repository for the paper "Informer" accepted by AAAI 2021.
driverlessai-recipes
Recipes for Driverless AI
nixtla-commons
Nixtla shared assets
dashcon-2020-all-your-queues
Repo for DashCon 2020 talk All Your Queues Belong To Us: Optimizing the human in the loop
hierarchicalforecast-sparse
Probabilistic Hierarchical forecasting 👑 with statistical and econometric methods.
methodologies
Methodologies for Nixtla contributors