Research interests:
- Time Series Analysis, Time Series-Language Model, LLM4TS (current)
- Image Restoration, Vision-Language Model
- Traffic Prediction, Spatio-Temporal Learning
- ...
Skills:
- Python, C/C++, JavaScript
- Pytorch
- ...
Name: ZHENGKE SUN
Type: User
Bio: Student
Unofficial implementation of the paper "A lightweight CNN for Diabetic Retinopathy classification from fundus images"
Keras implementation for Deep Embedding Clustering (DEC)
Images process module
Simple and unofficial Implementation(for tabular data) of paper 'Curriculum Labeling: Revisiting Pseudo-Labeling for Semi-Supervised Learning '[AAAI2021]
[Fully Connection LSTM] Unofficial implementation of paper 'Generating Sequences With Recurrent Neural Networks'
A simple Python script: (1) Customizes to output the structure of project files. (2) Concatenates the code in the project files into one PDF document.
Convert GPS trajectory data into graph data
Human Activity Recognition Library(Mainly: IMUs-based; Other: video,image,skeleton,wifi)
(Optimizing code now)Unofficial implementation of paper 'Joint-Label Learning by Dual Augmentation for Time Series Classification'[AAAI2021]
Unofficial implementation of paper “Multi-scale Attention Convolutional Neural Network for time series classification”[Neural Networks2021]
Note-taking tool for papers
An unofficial implementation about paper 'Training TSVM with the proper number of positive samples'[Pattern Recognition Letters2005]
[Simple and unofficial]Implementation of the paper"Semi-Supervised Clustering with Constraints of Different Types from Multiple Information Sources"[TPAMI2020]
Implementation of Semi-supervised Deep Embedded Clustering (SDEC) in Keras
A benchmark study of using spatio-temporal graph neural networks for traffic prediction.
Tabular data semi-supervised learning based on curriculum learning and pseudo label(A simple experiment)
Taxi Traffic Speed/Flow Prediction Benchmark(based on Shanghai Taxi Dataset)
Pytorch implementation of various traffic prediction modules(FC-LSTM, GRU, GCN, Diffusion Conv, Temporal Attention, etc.)
(TODO) Extension experiments to original repository
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.