Pinned Repositories
ALBFL
awesome-model-quantization
A list of papers, docs, codes about model quantization. This repo is aimed to provide the info for model quantization research, we are continuously improving the project. Welcome to PR the works (papers, repositories) that are missed by the repo.
code2vec
A PyTorch implementation of `code2vec: Learning Distributed Representations of Code` (Alon et al., 2018)
code2vec-1
TensorFlow code for the neural network presented in the paper: "code2vec: Learning Distributed Representations of Code"
CodeBERT
CodeBERT
Cream
This is a collection of our NAS and Vision Transformer work.
DAQ
An official PyTorch implementation of the paper "Distance-aware Quantization", ICCV 2021.
Deep-Learning-Paper-Review-and-Practice
꼼꼼한 딥러닝 논문 리뷰와 코드 실습
deeprl4fl-2021-icse
DSQ
pytorch implementation of "Differentiable Soft Quantization: Bridging Full-Precision and Low-Bit Neural Networks"
DOHA-HWANG's Repositories
DOHA-HWANG/ALBFL
DOHA-HWANG/EdMIPS
PyTorch implementation of EdMIPS: https://arxiv.org/pdf/2004.05795.pdf
DOHA-HWANG/DSQ
pytorch implementation of "Differentiable Soft Quantization: Bridging Full-Precision and Low-Bit Neural Networks"
DOHA-HWANG/GatedGNN
DOHA-HWANG/code2vec
A PyTorch implementation of `code2vec: Learning Distributed Representations of Code` (Alon et al., 2018)
DOHA-HWANG/ImageNet
This implements training of popular model architectures, such as AlexNet, ResNet and VGG on the ImageNet dataset(Now we supported alexnet, vgg, resnet, squeezenet, densenet)