Hybridization approach for time-series forecasting
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.
