Deep into Machine Learning Foundations (Deep into MLF) is not just a website, but a dynamic, evolving platform dedicated to empowering exploration and innovation in synthetic time series generation. 

To enable the development and application of high-fidelity and trustworthy time series generative models, we offer 

• tutorials on cutting-edge time series generation models;
• an up-to-date collection of academic literature in this field;
• an open-source and end-to-end pipeline for time series generation;
• hackathons of different difficulty levels for hands-on learning and exciting competitions.    
   

We invite every user to contribute to our mission by providing feedback, submitting academic literature information, and participating in hackathons. Your involvement strengthens our platform, enabling us to continually refine our resources and develop an invaluable tool for the synthetic time series generation community. 
 

Fueled by our dedicated team and your invaluable contributions, Deep into MLF is a thriving community where you can learn, create, compete, and grow. Join us, and dive deep into the exciting world of synthetic time series generation to shape the future together.