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#!/usr/bin/python
# -- coding: utf-8 --

print('''
Hi there 👋. I am ZHANG Zhi from The Hong Kong Polytechnic University (PolyU).
My current research interest includes EEG analysis using generative models and graph convolutional networks.
Follow me. 😄
''')

ZHANG Zhi's Projects

alarm-clock icon alarm-clock

Alarm Clock is a web application developed to help manage presentation durations.

camel icon camel

🐫 CAMEL: Communicative Agents for “Mind” Exploration of Large Scale Language Model Society

cluster icon cluster

Torchcluster is a python package for cluster analysis.

dgl icon dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

dsp.js icon dsp.js

Digital Signal Processing for Javascript

leetcode icon leetcode

😏 LeetCode solutions in any programming language | 多种编程语言实现 LeetCode、《剑指 Offer(第 2 版)》、《程序员面试金典(第 6 版)》题解

mne-python icon mne-python

MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python

nni icon nni

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

pytorch icon pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

pytorch-escgan icon pytorch-escgan

The official implementation of the paper "Beyond Mimicking Under-Represented Emotions: Deep Data Augmentation with Emotional Subspace Constraints for EEG-Based Emotion Recognition".

pytorch-ganser icon pytorch-ganser

Official implementation of the paper "GANSER: A Self-supervised Data Augmentation Framework for EEG-based Emotion Recognition"

pytorch-parallel icon pytorch-parallel

Optimize an example model with Python, CPP, and CUDA extensions and Ring-Allreduce.

pytorch-sagcn icon pytorch-sagcn

Official implementation of the paper "Steganographer Detection via a Similarity Accumulation Graph Convolutional Network"

taichi icon taichi

Productive & portable high-performance programming in Python.

torch-text-similarity icon torch-text-similarity

Implementations of models and metrics for semantic text similarity. Includes fine-tuning and prediction of models

vision icon vision

Datasets, Transforms and Models specific to Computer Vision

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