nncf | Neural Network Compression Framework for enhanced OpenVINO™ inference | Machine Learning library

nncf is a Python library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Pytorch, Tensorflow, Neural Network, Transformer applications. nncf has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install nncf' or download it from GitHub, PyPI.

NNCF provides a suite of advanced algorithms for Neural Networks inference optimization in OpenVINO with minimal accuracy drop. NNCF is designed to work with models from PyTorch and TensorFlow. NNCF provides samples that demonstrate the usage of compression algorithms for three different use cases on public PyTorch and TensorFlow models and datasets: Image Classification, Object Detection and Semantic Segmentation. Compression results achievable with the NNCF-powered samples can be found in a table at the end of this document. The framework is organized as a Python* package that can be built and used in a standalone mode. The framework architecture is unified to make it easy to add different compression algorithms for both PyTorch and TensorFlow deep learning frameworks.