Nixtla's repositories
statsforecast
Lightning ⚡️ fast forecasting with statistical and econometric models.
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 🚀.
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
fpp3-python
Forecasting: principles and practice in python
timegpt-forecaster-streamlit
TimeGPT forecaster example using streamlit
coreforecast
Fast implementations of common forecasting routines
public-slides
Nixtla Public Slides
how-to-contribute-nixtlaverse
Instruction to contribute to the Nixtla libraries
driverlessai-recipes
Recipes for Driverless AI
nixtla-commons
Nixtla shared assets
azureml-examples
Official community-driven Azure Machine Learning examples, tested with GitHub Actions.
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.
inkeep-ai-api-python
python sdk for inkeep
methodologies
Methodologies for Nixtla contributors