eghouti Goto Github PK

binaryconnect

Implementation of BinaryConnect on Pytorch

cadurosar.github.io

decisivenet

eghouti.github.io

haet-2022-competition-baseline-code

haet.github.io

haet2021.github.io

hardware-aware-efficient-training

iloc

kmeans_pytorch

kmeans using PyTorch

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.

nncf

PyTorch*-based Neural Network Compression Framework for enhanced OpenVINO™ inference

sal

Shift Attention Layer

sota-routine

SOTA routine for training CIFAR-10/CIFAR-100/ImageNet on standard ResNets

tda-in-ml.github.io

Code for the website of the NeurIPS 2020 workshop on 'Topological Data Analysis and Beyond'

wideresnet-pytorch

Wide Residual Networks (WideResNets) in PyTorch