MLDemos

Regression Demos:

• Data Generating Distributions Demo
• Interactive OLS Linear Regression Demo
• Interactive OLS Linear Regression Demo with Polynomial Basis Expansion
• Bayesian Linear Regression Demo with Metropolis-Hastings Sampler
• Support Vector Regressor Demo
• Probabilistic Linear Regression Demo

Classification Demos:

• KNN Demo
• KNN Properties
• Generative Classifier Demos
• Logistic Regression Demo
• Interactive Linear Classifier Demo
• Interactive Linear Classifier with Polynomial Basis Expansion Demo
• Support Vector Classifier Demo
• Neural Network Classifier Demo
• Probabilistic Linear Classification Demo

Unsupervised Learning Demos:

• Bivariate Gaussian Demo
• Mixture Models Demo
• Factor Analysis
• Denoising Autoencoders
• Variational Autoencoders
• Restricted Boltzmann Machines

Optimization Demos:

• Interactive Gradient Explorer Demo
• Numerical Optimization Demo
• Subgradient Descent Demos

Tutorials

• NumPy Crash Course
• PyTorch Crash Course
• Reverse Mode Autodiff in Pytorch