USA-Energy-Demand-Forecasting-Prophet-NeuralProphet

? Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch and FLAX.

Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.

Machine learning, in numpy

State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.

dbt enables data analysts and engineers to transform their data using the same practices that software engineers use to build applications.

Statsmodels: statistical modeling and econometrics in Python

Fast and Accurate ML in 3 Lines of Code

A unified framework for machine learning with time series

Deep universal probabilistic programming with Python and PyTorch

Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations