Advanced AI Explainability for computer vision. Many Class Activation Map methods implemented in Pytorch for CNNs and Vision Transformers. Examples and applications for classification, object detec…

Brings SQL and AI together.

FOST is a general forecasting tool, which demonstrate our experience and advanced technology in practical forecasting domains, including temporal, spatial-temporal and hierarchical forecasting. Cur…

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

This is a comprehensive ML techniques with python: Define the Problem- Specify Inputs & Outputs- Data Collection- Exploratory data analysis -Data Preprocessing- Model Design- Training- Evaluation

📚A practical approach to learning machine learning.

The Julia Language: A fresh approach to technical computing.

An open source library for deep learning end-to-end dialog systems and chatbots.

Apache Superset (incubating) is a modern, enterprise-ready business intelligence web application

Python Cheat Sheet

Scala Exercises' lessons for the Cats library

Teaching materials for the probabilistic graphical models and deep learning classes at Stanford

Computation using data flow graphs for scalable machine learning

Python DBAPI Driver and Sqlalchemy Dialect for Apache Kylin, the "Extreme OLAP Engine for Big Data"