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NNCF (Neural Network Compression Framework) is an optimization toolkit for deep learning models, designed to apply quantization, pruning, and other techniques to improve inference efficiency.
Features
- Supports quantization and pruning for model compression
- Open-source and customizable for AI model optimization
- Works with TensorFlow, PyTorch, and OpenVINO frameworks
- Reduces model size while maintaining accuracy
- Enables mixed precision training for optimized performance
- Compatible with hardware acceleration (Intel CPUs, GPUs, and VPUs)
Project Samples
License
Apache License V2.0Follow NNCF
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