lilipads/gradient_descent_viz

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

1409 stars · 159 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A cross-platform C++/Qt desktop application that interactively visualizes five popular gradient descent optimization methods (vanilla GD, momentum, AdaGrad, RMSProp, Adam). It offers multiple loss surfaces, hyperparameter tuning, step-by-step animations, and visual elements to build intuition about how each optimizer behaves.

Use cases

• visualize how adam and rmsprop handle saddle points
• understand the difference between adagrad and rmsprop
• tune learning rate to see effect on gradient descent
• learn gradient descent optimizers interactively
• teaching tool for machine learning optimization methods
• see step-by-step calculation of momentum descent

When to choose

• you want an interactive, visual way to build intuition about gradient descent optimizers
• you are teaching or learning machine learning optimization concepts
• you want to experiment with hyperparameters on different loss surfaces

When to avoid

• you need to run actual optimizer experiments on real datasets or models
• you need a library to embed in your own training code
• you require a web-based or scriptable visualization

Facets

application · maturity maintenance

data-visualization machine-learning gui simulation machine-learning education data-visualization desktop-applications windows cpp cross-platform gradient-descent optimization qt interactive-visualization adam momentum adagrad rmsprop learning-tool macos desktop

Member repositories

For agents

markdown · JSON · MCP: product_card(name="lilipads/gradient_descent_viz")