paul-lipu Goto Github PK
Name: Pu_Li
Type: User
Location: San Diego, CA
Name: Pu_Li
Type: User
Location: San Diego, CA
A Caffe-based implementation of very deep convolution network for image super-resolution
ImageNet pre-trained models with batch normalization for the Caffe framework
Deep Residual Learning for Image Recognition
DenseNet Caffe Models, converted from https://github.com/liuzhuang13/DenseNet
Dilated Convolution for Semantic Image Segmentation
PyTorch implementation of the TIP2017 paper "Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising"
Code for our CVPR'17 paper "Image Super-Resolution via Deep Recursive Residual Network"
A HTTP server for HTTP GET and POST, based on java
Caffe Model based on LeNet and Trained on UBooNE data
just for practice
An ORM frame for practicing
No description, website, or topics provided.
This is the official repository of our paper "Using deep learning to track timeΓ frequency whistle contours of toothed whales without human-annotated training data" published on The Journal of the Acoustical Society of America 2023.
Pytorch implementation for LapSRN (CVPR2017)
Reimplementation ResNet on cifar10 with caffe
Squeeze-and-Excitation Networks
pytorch implementation of tv loss
VGG 19 Layers Deep Network
client for get Online course information for Tsinghua University undergraduate.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
π 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. πππ
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 β€οΈ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.