soumith/ganhacks resource

Health v2 · maintenance only

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11616 stars · 1643 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

A curated list of practical tips and tricks for training Generative Adversarial Networks (GANs), originally compiled as a starter for the 'How to Train a GAN?' session at NIPS 2016. It is a documentation-style resource, not software, and is explicitly no longer maintained.

Use cases

• tips for training GANs
• how to stabilize GAN training
• GAN training tricks like label smoothing
• why my GAN is not converging
• DCGAN best practices
• choosing activation and pooling layers for GANs
• learning GAN loss function pitfalls

When to choose

• you are learning to train GANs and want a concise checklist of practical tricks
• you need quick reference advice on normalization, label smoothing, or architecture choices for GANs

When to avoid

• you need up-to-date GAN research or modern techniques (the list is unmaintained since ~2020)
• you need runnable code or a library rather than written guidance

Facets

learning-resource · maturity abandoned

deep-learning machine-learning developer-tools deep-learning machine-learning artificial-intelligence tutorials cross-platform gan generative-adversarial-networks training-tips nips2016 guide documentation

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markdown · JSON · MCP: product_card(name="soumith/ganhacks")