GRAM-ODE

Graph Neural Network Library for PyTorch

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.

Python package built to ease deep learning on graph, on top of existing DL frameworks.

Statsmodels: statistical modeling and econometrics in Python

Anomaly detection related books, papers, videos, and toolboxes

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

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

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

links to conference publications in graph-based deep learning