elad-c

model_optimization

The Model Compression Toolkit is an open-source project for neural network model optimization under efficient hardware constrained and provide advanced quantization and compression techniques.

pytorch-image-models

PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNet-V3/V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more

keras

Deep Learning for humans

custom_layers

mct_quantizers

model_optimization

Model Compression Toolkit (MCT) is an open source project for neural network model optimization under efficient, constrained hardware. This project provides researchers, developers, and engineers advanced quantization and compression tools for deploying state-of-the-art neural networks.

tensorflow

An Open Source Machine Learning Framework for Everyone

elad-c/model_optimization

The Model Compression Toolkit is an open-source project for neural network model optimization under efficient hardware constrained and provide advanced quantization and compression techniques.

elad-c/pytorch-image-models

PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNet-V3/V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more