The Stein Gradient

Visualizing the simple yet powerful Stein gradient for sampling (with notebook)

Policy Gradients in a Nutshell

Everything you need to know to get started with Policy Gradient Algorithms for Reinforcement Learning

When Does Stochastic Gradient Algorithm Work Well?

A summary of recent work on theoretical bounds for SGD

The beauty of Bayesian Learning

Understanding and visualizing Bayesian concepts

PyTorch Data Loaders are abstraction done right!

A quick introduction to writing your first data loader in PyTorch

Visualizing the Confusion Matrix

Summary of terminologies in Confusion Matrix

The magic of Automatic Differentiation

Learn how to 'mathemagically' compute derivates in Machine Learning