Tencent/PocketFlow

Health v2 · maintenance only

Flags: no_releases no_license

Adoption not part of the score

2909 stars · 489 forks observed · 2026-08-28

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

PocketFlow is an open-source AutoML framework from Tencent AI Lab for automatically compressing and accelerating deep learning models. Developers specify a target compression ratio and it searches hyper-parameters to produce smaller, faster models suitable for mobile deployment.

Use cases

• compress a deep learning model for mobile deployment
• prune channels of a CNN automatically
• quantize neural network weights
• speed up model inference with minimal accuracy loss
• run neural architecture search for compressed models
• deploy computer vision models on resource-limited devices

When to choose

• you need to shrink a TensorFlow model for mobile or embedded inference
• you want automated pruning, sparsification, or quantization without manual tuning
• you can afford a search loop over compression hyper-parameters

When to avoid

• you work primarily in PyTorch rather than TensorFlow
• you need actively maintained tooling - the project has seen few updates since 2023
• you want one-shot compression without an automated search process

Facets

framework · maturity maintenance

machine-learning deep-learning llm-training deep-learning machine-learning computer-vision mobile-development python model-compression automl quantization pruning neural-network-acceleration tensorflow linux gpu

Member repositories

For agents

markdown · JSON · MCP: product_card(name="Tencent/PocketFlow")