Pinned Repositories
datasetsforecast
Datasets for time series forecasting
fpp3-python
Forecasting: principles and practice in python
hierarchicalforecast
Probabilistic Hierarchical forecasting 👑 with statistical and econometric methods.
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 🚀.
statsforecast
Lightning ⚡️ fast forecasting with statistical and econometric models.
transfer-learning-time-series
Transfer 🤗 Learning for Time Series Forecasting
tsfeatures
Calculates various features from time series data. Python implementation of the R package tsfeatures.
utilsforecast
Nixtla's Repositories
Nixtla/statsforecast
Lightning ⚡️ fast forecasting with statistical and econometric models.
Nixtla/neuralforecast
Scalable and user friendly neural :brain: forecasting algorithms.
Nixtla/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/mlforecast
Scalable machine 🤖 learning for time series forecasting.
Nixtla/hierarchicalforecast
Probabilistic Hierarchical forecasting 👑 with statistical and econometric methods.
Nixtla/tsfeatures
Calculates various features from time series data. Python implementation of the R package tsfeatures.
Nixtla/transfer-learning-time-series
Transfer 🤗 Learning for Time Series Forecasting
Nixtla/datasetsforecast
Datasets for time series forecasting
Nixtla/fpp3-python
Forecasting: principles and practice in python
Nixtla/utilsforecast
Nixtla/timegpt-forecaster-streamlit
TimeGPT forecaster example using streamlit
Nixtla/coreforecast
Fast implementations of common forecasting routines
Nixtla/vantage
Use TimeGPT to predict cloud costs and detect anomalies.
Nixtla/nixtlar
R SDK for TimeGPT
Nixtla/popol-vuh
Popol Vuh: Nixtla's operating system
Nixtla/public-slides
Nixtla Public Slides
Nixtla/how-to-contribute-nixtlaverse
Instruction to contribute to the Nixtla libraries
Nixtla/nixtla-commons
Nixtla shared assets
Nixtla/driverlessai-recipes
Recipes for Driverless AI
Nixtla/hierarchicalforecast-sparse
Probabilistic Hierarchical forecasting 👑 with statistical and econometric methods.
Nixtla/azureml-examples
Official community-driven Azure Machine Learning examples, tested with GitHub Actions.
Nixtla/blog
Nixtla/dashcon-2020-all-your-queues
Repo for DashCon 2020 talk All Your Queues Belong To Us: Optimizing the human in the loop
Nixtla/docs
Nixtla/api-status-pixel
Nixtla/examples
Time-series forecasting examples using the nixtlaverse and TimeGPT
Nixtla/inkeep-ai-api-python
python sdk for inkeep
Nixtla/methodologies
Methodologies for Nixtla contributors
Nixtla/nixtlaverse-issue-template
Nixtla/styles