he-y/Awesome-Pruning resource

Health v2 · maintenance only

Flags: no_releases no_license

Adoption not part of the score

2497 stars · 332 forks observed · 2026-08-28

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

A curated awesome-list of neural network pruning resources, including papers organized by year and pruning type (filter, weight, special networks), plus a structured pruning survey. It serves as a research reference rather than a runnable tool.

Use cases

• find papers on neural network pruning
• learn about structured pruning for CNNs
• research model compression techniques
• find pruning papers with code implementations
• survey filter and weight pruning methods
• keep up with model acceleration research

When to choose

• you need a comprehensive, categorized bibliography of pruning research
• you are surveying model compression literature by year or technique
• you want links to pruning papers with available code

When to avoid

• you need runnable pruning or compression software
• you want a tutorial or hands-on implementation guide
• you need non-pruning compression methods like quantization or distillation

Facets

learning-resource · maturity active

machine-learning deep-learning deep-learning machine-learning awesome-lists cross-platform neural-network-pruning model-compression model-acceleration curated-list papers

Member repositories

For agents

markdown · JSON · MCP: product_card(name="he-y/Awesome-Pruning")