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low-latency-inference

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Chenqing-Lin / FAIR-Pruner

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Research-ready and production-friendly neural network pruning for PyTorch—transparent methods, reproducible baselines, and deployment metrics to compress models for real-world use.

machine-learning acceleration computer-vision deep-learning reproducible-research optimization latency torch pytorch energy-efficiency model-compression inference-optimization edge-ai structured-pruning green-ai unstructured-pruning neural-network-pruning efficient-ai low-latency-inference
  • Updated Jan 25, 2026
  • Python

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