Deep Learning

Tactic2Vec is a Deep Metric Learning Framework. It solves the problem of play retrieval by learning a dense vector representation where geometrically and tactically similar scenes are close to each other in the embedding space.
Tech: Python

PINN to solve the nonlinear PDE governing temperature distribution during cryosurgery simulations.
Tech: Python

In this blog post, we’ll explore the Exemplar-SVM technique promoted by Andrej Karpathy. We’ll discuss the general embedding lookup process, what is exemplar-SVM, explain why this technique is effective, compare it to K-Nearest Neighbors (KNN), and walk through a brief code implementation.

In this post, I walk you through the solution to a huge memory bottleneck in 3D Imaging Models: the Sliding Window Inference technique. We will look at how tools like Patchly and MONAI implement this.

Cardiac activation mapping is critical for guiding catheter ablation of arrhythmias but remains challenging due to the difficulty of …

Neural networks are well-known for their ability to learn patterns from data, helping us make predictions and decisions in a variety of fields. But what if we could make these networks even smarter by teaching them to follow the rules that govern the world around us?