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

Project Activity

See All Activity >

License

Apache License V2.0

Follow NNCF

NNCF Web Site

Other Useful Business Software
PRTG Catches Network Issues Before They Cause Downtime Icon
PRTG Catches Network Issues Before They Cause Downtime

Threshold-based alerts flag problems early, so your team can act before users notice, not after.

Reactive troubleshooting usually means hearing about a problem from frustrated users, not your monitoring tool. PRTG sets threshold-based alerts across devices, servers and applications, notifying your team by email, SMS or push the moment a metric crosses a set limit. That means catching a failing disk or overloaded server before it becomes an outage and getting time back from firefighting. Start a free trial and set your first alerts today.
Download 30-Day Trial
Rate This Project
Login To Rate This Project

User Reviews

Be the first to post a review of NNCF!

Additional Project Details

Operating Systems

Linux, Mac, Windows

Programming Language

Python

Related Categories

Python Frameworks, Python Natural Language Processing (NLP) Tool, Python LLM Inference Tool

Registered

2025-01-24