wnvca-2025

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

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

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

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

A python library for user-friendly forecasting and anomaly detection on time series.

Curated list of Machine Learning, NLP, Vision, Recommender Systems Project Ideas

Postgres with GPUs for ML/AI apps.

The GitHub repository for the paper "Informer" accepted by AAAI 2021.