jawaechan Goto Github PK
Name: Samuel
Type: User
Company: University of North Carolina
Location: Chapel Hill
Name: Samuel
Type: User
Company: University of North Carolina
Location: Chapel Hill
Sensitivity Analysis of Deep Neural Networks (AAAI-19 paper)
pytorch implementation of scene change detection
Python interface to GPU-powered libraries
script for fixed-point quantization with Caffe framework
Deep learning library based on the gcForest algorithm
This is the pytorch implementation for the paper: *Learning Accurate Performance Predictors for Ultrafast Automated Model Compression*, which is in submission to TPAMI
Official PyTorch implementation of SegFormer
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
[ICCV2021] Official PyTorch implementation of Segmenter: Transformer for Semantic Segmentation
Official Pytorch implementations for "SegNeXt: Rethinking Convolutional Attention Design for Semantic Segmentation" (NeurIPS 2022)
A Theory and Practical Guide to Deep Learning Semantic Segmentation
Semantic Segmentation Suite in TensorFlow. Implement, train, and test new Semantic Segmentation models easily!
Resources of semantic segmantation based on Deep Learning model
Notes and codes of the topic "Semi-supervised learning"
Semi-supervised Learning GAN
Implementations of various VAE-based semi-supervised and generative models in PyTorch
Repository containing the code of one of the networks that we employed in the iSEG Grand MICCAI Challenge 2017, infant brain segmentation.
The official source code for the paper "Semi-supervised deep learning for fully convolutional networks", prototyped in MATLAB and using MatConvNet.
Semixup: In- and Out-of-Manifold Regularization for Deep Semi-Supervised Knee Osteoarthritis Severity Grading from Plain Radiographs
SEN12-FLOOD Dataset
Squeeze-and-Excitation Networks
Autoencoders for sequence data
Next Generation of ShadowsocksX
The implementation for "Skeleton-Based Action Recognition with Shift Graph Convolutional Network" (CVPR2020 oral).
The pytorch implementation for "SNUNet-CD: A Densely Connected Siamese Network for Change Detection of VHR Images"
Image co-segmentation with a Siamese Neural Network based off of CoSegNet
Siamese and triplet networks with online pair/triplet mining in PyTorch
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.