Key Takeaways -   To understand data science, one needs a lot of technical expertise along with business understanding. Generative AI, MLOps, and clou ...

This is a Machine Learning Research Project investigating the "Double Descent" phenomenon in neural networks using a Non-Equilibrium Statistical Physics (NESP) framework.

We've decided to retire and archive this project - there's just no safe way to run Python within pyodide safely with reasonable latency. Instead, we're working hard on Monty which should solve the ...

The comic follows two parallel stories. Hush - a timid mute girl wakes up in a jail cell. Desperate to escape, she befriends another prisoner, Mono, who understands this world far better than her, ...

Abstract: Physics-Informed Neural Networks (PINNs) have recently received increasing attention, however, optimizing the loss function of PINNs is notoriously difficult, where the landscape of the loss ...

Abstract: Most existing point cloud upsampling methods have roughly three steps: feature extraction, feature expansion and 3D coordinate prediction. However, they usually suffer from two critical ...