greenhill520
Research interests: Edge Computing, Machine Learning, Quantum Algorithms and Applications.
Shenzhen Institutes of Advanced Technology, Chinese Academy of SciencesShenzhen, Guangdong, China, 518055
Pinned Repositories
Airead-Server
The Server of Airead
AlloyPhoto
an image processing lib based on html5
Awesome-Federated-Learning
Federated Learning Library: https://fedml.ai
brucewei.profile
csi_classification
EdgeCloudSim
EdgeCloudSim: An Environment for Performance Evaluation of Edge Computing Systems
Federated-Averaging-PyTorch
An unofficial PyTorch implementation of a federated learning algorithm, FedAvg.
LSTM_Sentiment-Analysis
nlp-learning-tutorials
tensorcircuit
Tensor network based quantum software framework for the NISQ era
greenhill520's Repositories
greenhill520/brucewei.profile
greenhill520/tensorcircuit
Tensor network based quantum software framework for the NISQ era
greenhill520/Awesome-Federated-Learning
Federated Learning Library: https://fedml.ai
greenhill520/csi_classification
greenhill520/EdgeCloudSim
EdgeCloudSim: An Environment for Performance Evaluation of Edge Computing Systems
greenhill520/Federated-Averaging-PyTorch
An unofficial PyTorch implementation of a federated learning algorithm, FedAvg.
greenhill520/LSTM_Sentiment-Analysis
greenhill520/Atari-DQN
PyTorch implementation of DQN, DDQN and Dueling DQN to solve Atari games including PongNoFrameskip-v4, BreakoutNoFrameskip-v4 and BoxingNoFrameskip-v4
greenhill520/audio_test
greenhill520/Awesome-LLMs-on-device
Awesome LLMs on Device: A Comprehensive Survey
greenhill520/BinaryNet.pytorch
Binarized Neural Network (BNN) for pytorch
greenhill520/download
greenhill520/eua-dataset
Edge server, user dataset for Edge Computing research
greenhill520/Federated-Learning
A SIMULATION framework of Federated Learning based on PyTorch
greenhill520/FRL
greenhill520/HQCRL
A Hybrid Quantum-Classical Reinforcement Learning Framework proposed by Quantum with Edge Intelligence Lab.
greenhill520/iQuantum
iQuantum - A Toolkit for Modelling and Simulation of Quantum Computing Environments
greenhill520/Learning2learn
This repository implements the architecture proposed by Verdon et al. in the paper Learning to learn with quantum neural networks via classical neural networks, using PennyLane and TensorFlow.
greenhill520/nexmon_csi
Channel State Information Extraction on Various Broadcom Wi-Fi Chips
greenhill520/product.survey
Some products survey.
greenhill520/pykan
Kolmogorov Arnold Networks
greenhill520/qfaas
QFaaS - A Serverless Function-as-a-Service Framework for Quantum Computing
greenhill520/qrl-dqn-gym
PennyLane/PyTorch implementation of Quantum agents in the Gym: a variational quantum algorithm for deep Q-learning (Skolik et al., 2021)
greenhill520/quanta
QuanTA: Efficient High-Rank Fine-Tuning of LLMs with Quantum-Informed Tensor Adaptation
greenhill520/quantum_reinforcement_learning
Study of entanglement and Shannon entropies in Quantum Reinforcement Learning (and its classical counterpart) in a discrete environment.
greenhill520/QuantumExplorer
A quantum reinforcement learning framework for exploring new ideas, based on PyTorch and PennyLane.
greenhill520/qubovert
The one-stop package for formulating, simulating, and solving problems in boolean and spin form
greenhill520/Resources-Allocation-in-The-Edge-Computing-Environment-Using-Reinforcement-Learning
Simulated the scenario between edge servers and users with a clear graphic interface. Also, implemented the continuous control with Deep Deterministic Policy Gradient (DDPG) to determine the resources allocation (offload targets, computational resources, migration bandwidth) in the edge servers
greenhill520/Solid
🎯 A comprehensive gradient-free optimization framework written in Python
greenhill520/tianshou
An elegant PyTorch deep reinforcement learning library.