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Name: Jaewoong
Type: User
Company: Seoul National University of Science & Technology
Bio: Machine Learning Deep Learning
Location: Korea
Name: Jaewoong
Type: User
Company: Seoul National University of Science & Technology
Bio: Machine Learning Deep Learning
Location: Korea
Active Learning on Image Data using Bayesian ConvNets
Active and Sample-Efficient Model Evaluation
A curated list of awesome Machine Learning frameworks, libraries and software.
Efficient and Diverse Batch Acquisition for Deep Bayesian Active Learning.
Building a Bayesian deep learning classifier
PyTorch implementation of CCSA("Unified Deep Supervised Domain Adaptation and Generalization")
Coursera R Programming Assignments
Source code for paper Classification with Costly Features using Deep Reinforcement Learning.
My attempt at reproducing the paper Deep Autoencoding Gaussian Mixture Model for Unsupervised Anomaly Detection
pytorch implementation of Domain-Adversarial Training of Neural Networks
dcbrain
Deep Learning Specialization by Andrew Ng, deeplearning.ai.
Deep Learning Specialization by Andrew Ng on Coursera.
A PyTorch implementation of the Deep SVDD anomaly detection method
Some work of Andrew Ng's course on Coursera
Tutorials for deep learning
SNU Data Mining Center webpage.
LaTeX template for SNU DM Center technical reports
Extended Isolation Forest for Anomaly Detection
Complete deep learning project developed in Full Stack Deep Learning, Spring 2021
Official implementation of "Classification-Based Anomaly Detection for General Data" by Liron Bergman and Yedid Hoshen, ICLR 2020.
Water System Industrial Network Dataset
Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on Theano or TensorFlow.
Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN (Deep Learning algo). Classifying the type of movement amongst six activity categories - Guillaume Chevalier
Official PyTorch implementation for "Mixed supervision for surface-defect detection: from weakly to fully supervised learning"
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.