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Name: Xiao Wang
Type: User
Company: University of Washington
Bio: Xiao Wang, Postdoc @ Noble Lab, CS Ph.D @ Kihara Lab
Location: Seattle
Blog: https://xiaowang.org
Name: Xiao Wang
Type: User
Company: University of Washington
Bio: Xiao Wang, Postdoc @ Noble Lab, CS Ph.D @ Kihara Lab
Location: Seattle
Blog: https://xiaowang.org
scripts and notebook for publication of ADpred
The project website for "Auto-Encoding Transformations."
An implementation of the AlphaZero algorithm for Gomoku (also called Gobang or Five in a Row)
A curated list of deep learning image classification papers and codes
PyTorch implementation of Barlow Twins.
NeurIPS'18: Co-teaching: Robust Training of Deep Neural Networks with Extremely Noisy Labels
Contact-based protein structure prediction
CoSeg: Cognitively Inspired Unsupervised Generic Event Segmentation
Differentiable architecture search for convolutional and recurrent networks
Code for paper: DivideMix: Learning with Noisy Labels as Semi-supervised Learning
Docking Model Evaluation by 3D Deep Convo-lutional Neural Networks Xiao Wang, Genki Terashi, Charles W. Christoffer, Mengmeng Zhu, and Daisuke Kihara, In submission (2019)
Dropbox Uploader is a BASH script which can be used to upload, download, list or delete files from Dropbox, an online file sharing, synchronization and backup service.
Emap2sec is a computational tool to identify protein secondary structures
EnAET: Self-Trained Ensemble AutoEncoding Transformations for Semi-Supervised Learning
Code for CVPR 2019 paper
Official Implementation of 'Fast AutoAugment' in PyTorch.
A Pytorch implementation of Fast AutoAugment and EfficientNet
Unofficial and Partial Implementation of Fast AutoAugment in Pytorch
Improving Consistency-Based Semi-Supervised Learning with Weight Averaging
Distributed Asynchronous Hyperparameter Optimization in Python
[Reimplementation Ross et al 2011] An implementation of DAGGER using ConvNets for driving from pixels.
open-source jailbreaking tool for many iOS devices
Code for 'Joint Optimization Framework for Learning with Noisy Labels'
Joint Optimization Framework for Learning with Noisy Labels
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.