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Name: Samuel
Type: User
Company: University of North Carolina
Location: Chapel Hill
Name: Samuel
Type: User
Company: University of North Carolina
Location: Chapel Hill
Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising (TIP, 2017)
DNN quantization with outlier channel splitting
All about acceleration and compression of Deep Neural Networks
Unsupervised Feature Learning and Deep Learning Tutorial
Deep Object Co-Segmentation
Source to app.diagrams.net
Official electron build of diagrams.net
The solution of team 'grt123' in DSB2017
pytorch implementation of "Differentiable Soft Quantization: Bridging Full-Precision and Low-Bit Neural Networks"
PyTorch implementation of "Deep Transferring Quantization" (ECCV2020)
DualGAN-tensorflow: tensorflow implementation of DualGAN
Dynamic fixed point quantization method PyTorch version reffer to caffe Ristretto
[ICLR-2020] Dynamic Sparse Training: Find Efficient Sparse Network From Scratch With Trainable Masked Layers.
(ECCV'2020 Oral)EagleEye: Fast Sub-net Evaluation for Efficient Neural Network Pruning
EasyQuant(EQ) is an efficient and simple post-training quantization method via effectively optimizing the scales of weights and activations.
A LaTex package providing a way to review (or perform editorial process). You can use the provided commands to claim attention in different ways to part of the text, or even to indicate that a text was added, needs to be removed, needs to be replaced and add comments to the text.
My summary of papers to read
Invariance Matters: Exemplar Memory for Domain Adaptive Person Re-identification CVPR 2019
This repository contains the source code of our work on designing efficient CNNs for computer vision
PyTorch version of the paper 'Enhanced Deep Residual Networks for Single Image Super-Resolution' (CVPRW 2017)
Running BERT without Padding
Finding Storage- and Compute-Efficient Convolutional Neural Networks
Collection of recent methods on DNN compression and acceleration
A PyTorch implementation of EfficientNet and EfficientNetV2 (coming soon!)
PyTorch implementation of EfficientNetV2 family
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.