Neural Network Compression Framework

Neural Network Compression Framework, or NNCF, is a powerful tool for reducing the size of neural network models without sacrificing their accuracy. Developed in Python, NNCF leverages various advanced compression methods like quantization, sparsity, filter pruning, and binarization to make models more hardware-friendly. The result is models that can be run more efficiently on general-purpose hardware computation units like CPUs and GPUs, as well as on specialized deep learning accelerators. W