Time Series Analysis with Python Cookbook, Second Edition - Published by Packt
-
Updated
Feb 12, 2026 - Jupyter Notebook
Time Series Analysis with Python Cookbook, Second Edition - Published by Packt
Nixtla time series forecasting plugins for Claude Code. StatsForecast, MLForecast, and NeuralForecast integrations with agent skills.
Probabilistic day-ahead LMP forecasting for 8–12 PJM zones using Temporal Fusion Transformer and a frozen semantic-embedding fusion branch. Produces P10/P50/P90 hourly forecasts, attention and variable-importance visualizations, and fusion-gate diagnostics.
Benchmarking a stacked LSTM, custom Transformer, and a Temporal Fusion Transformer on forecasting tasks using hourly Bitcoin data.
Minimal reference implementation for running Lightning and NeuralForecast on Intel GPU via native PyTorch XPU.
Add a description, image, and links to the neuralforecast topic page so that developers can more easily learn about it.
To associate your repository with the neuralforecast topic, visit your repo's landing page and select "manage topics."