Michael

ResVMamba. The official repository implement of Res-VMamba: Fine-Grained Food Category Visual Classification Using Selective State Space Models with Deep Residual Learning.

MUSE_EEG. The official implement of Mind's eye: image recognition by EEG via multimodal similarity-keeping contrastive learning.

pytorch_deep_learning_medimg_tutorial. This project simply implements three common deep learning models (VGG16, ResNet18, ViT) for medical image classification tasks using the PathMNIST dataset.

EEG-Datasets. A list of all public EEG-datasets.

Deep_learning_introducrion. This tutorial is designed for beginners of deep learning, introducing the basics of PyTorch to advanced applications step by step.

QuantumEEGNet. The official repository implement of QEEGNet: Quantum Machine Learning for Enhanced Electroencephalography Encoding (IEEE SiPS2024)).

Food2K-TW101. Python

QASA. QASA: Quantum Adaptive Self-Attention for Quantum Transformer Models.

gaze_track_webcam. Python

QuantumRWKV. The official implement of paper "Quantum-Enhanced Channel Mixing in RWKV Models for Time Series Forecasting."

EEG_gen_img_NECOMIMI. Official implement of "Exploring the Potential of Electroencephalography Signal–Based Image Generation Using Diffusion Models: Integrative Framework Combining Mixed Methods and Multimodal Analysis"

2018makeNTU_meowmeow. C++

QCL. [ICASSP2025] This repository contains the implementation of a "Quantum Multimodal Contrastive Learning Framework" for EEG-image data analysis and processing.

python_CryptoCurrencyPortfolioApp. Python

Quantum_MNIST_Diffusion. The official implement of "Quantum Generative Models for Image Generation: Insights from MNIST and MedMNIST. A novel approach to image generation using quantum-enhanced diffusion models".

python101_zh. Jupyter Notebook

pure_agri_bugcan_pest-counter. C++

ms. My resume website.

Vision_QRWKV. Vision QRWKV: Exploring Quantum-Enhanced RWKV Models for Image Classification

Broadcastify_audio_pipeline. Python

VLM_softprompt_tutorial. Python

Quantum_molecular_prediction. Python

MILTimeSeriesClassification. Inherently Interpretable Time Series Classification via Multiple Instance Learning (MILLET)

LLM_Finetune_Tutorial. This project provides comprehensive examples and scripts for fine-tuning and interacting with Large Language Models (LLMs) using three popular toolkits: DeepSpeed, NVIDIA NeMo, and Unsloth.

SupplyGraph_code. Python

awesome-quantum-machine-learning. Here you can get all the Quantum Machine learning Basics, Algorithms ,Study Materials ,Projects and the descriptions of the projects around the web

DeepLearning-500-questions. 深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，近30万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06

DCSS-1. Debris Collecting Space Ship - for NASA Hackathon 2018

webcam-pulse-detector. A python application that detects and highlights the heart-rate of an individual (using only their own webcam) in real-time.

GAN. Python

README. README文件语法解读，即Github Flavored Markdown语法介绍

SmartGloves_2018MS_ImagineCup. Processing

reactjs101. 從零開始學 ReactJS（ReactJS 101）是一本希望讓初學者一看就懂的 React 中文入門教學書，由淺入深學習 ReactJS 生態系 (Flux, Redux, React Router, ImmutableJS, React Native, Relay/GraphQL etc.)。

Option_simulator. Python

2018makeNTU. Glove-control