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Name: DH.HWANG
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Name: DH.HWANG
Type: User
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.
A PyTorch implementation of `code2vec: Learning Distributed Representations of Code` (Alon et al., 2018)
TensorFlow code for the neural network presented in the paper: "code2vec: Learning Distributed Representations of Code"
CodeBERT
This is a collection of our NAS and Vision Transformer work.
An official PyTorch implementation of the paper "Distance-aware Quantization", ICCV 2021.
꼼꼼한 딥러닝 논문 리뷰와 코드 실습
pytorch implementation of "Differentiable Soft Quantization: Bridging Full-Precision and Low-Bit Neural Networks"
PyTorch implementation of EdMIPS: https://arxiv.org/pdf/2004.05795.pdf
An official implementation of "Network Quantization with Element-wise Gradient Scaling" (CVPR 2021) in PyTorch.
The official implementation for "FQ-ViT: Fully Quantized Vision Transformer without Retraining".
Code for "Can We Scale Transformers to Predict Parameters of Diverse ImageNet Models?"
Quantization library for PyTorch. Support low-precision and mixed-precision quantization, with hardware implementation through TVM.
[ICML'21 Oral] I-BERT: Integer-only BERT Quantization
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)
Official repository for "Intriguing Properties of Vision Transformers" (NeurIPS 2021--Spotlight)
VIT is a lightweight, fast, curses-based front end to Taskwarrior
Tools for generating mini-ImageNet dataset and processing batches
Code for Parameter Prediction for Unseen Deep Architectures (NeurIPS 2021)
PyTorch Implementation of DARTS: Differentiable Architecture Search
⚡️ Python client for the unofficial ChatGPT API with auto token regeneration, conversation tracking, proxy support and more.
PyHessian is a Pytorch library for second-order based analysis and training of Neural Networks
95.47% on CIFAR10 with PyTorch
Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet, NasNet, Residual Attention Network, SENet, WideResNet)
PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more
[NeurIPS 2021 Spotlight] SOFT: Softmax-free Transformer with Linear Complexity
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.