itouchz Goto Github PK
Name: PATARA TRIRAT
Type: User
Company: @kaist-dmlab @deepauto-ai
Bio: An Ordinary Ph.D. Candidate at KAIST~
Twitter: itouchz_me
Location: Daejeon, South Korea
Blog: itouchz.github.io
Name: PATARA TRIRAT
Type: User
Company: @kaist-dmlab @deepauto-ai
Bio: An Ordinary Ph.D. Candidate at KAIST~
Twitter: itouchz_me
Location: Daejeon, South Korea
Blog: itouchz.github.io
A curated list of state-of-the-art papers on deep learning for universal representations of time series.
A Framework for Generating an Efficient Machine Learning Model with a Few Sentences
Implementation of the paper "Context Consistency Regularization for Label Sparsity in Time Series" (ICML'23)
Semantic Text Similarity Dataset Hub
DF-TAR: A Deep Fusion Network for Citywide Traffic Accident Risk Prediction with Dangerous Driving Behavior
KAIST CS564 (Fall, 2021) Course Project
HandyBoard: An Adjustable Split of Soft Keyboard in Landscape Mode Touch Screens
Codes and data for the paper "Hi-COVIDNet: Deep Learning Approach to Predict Inbound COVID-19 Patients and Case Study in South Korea", KDD 2020
[EDM-20] IntelliMOOC: Intelligent Online Learning Framework for MOOC Platforms
https://itouchz.github.io
A Presentation Rehearsal Partner for Everyone built with Jetson Nano (KAIST, KSE624 Spring, 2020 -- Final Project)
Time Series Anomaly Detection with Multi-resolution Ensemble Learning
Replication of Neural Predictor for Neural Architecture Search with Tensorflow
Experimental GitHub Action
Ultrafast Local Outlier Detection from a Data Stream with Stationary Region Skipping
Implementation of ICLR'22 Coherence-based Label Propagation over Time Series for Accelerated Active Learning
TensorSparkML brings scalable in-memory machine learning to TensorFlow on Apache Spark clusters.
TRAP: Two-level Regularized Autoencoder-based Embedding for Power-law Distributed Data
TRepNet: Ensemble Denoising Autoencoder for Time Series Representation 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.