I believe having a good code repo is a necessary part of a good paper. You can find the source code for my papers and other interesting projects through my Github.
Apart from source code for my papers, I would like to share some of my interesting projects, tutorials and useful resources. I also share some interesting spaces, models, and datasets I created during my past projects on my Hugging Face.
Tutorials
Large Language Model
Build a ChatBot Application with Own Data Using Unsloth and RAG
Finetune a Large Laguage Model with Torchtune
Create an Arxiv Paper Dataset
Open-source Software Framework
LLM for Academic Writing: This is a collection of helpful LLM tools I have found and developed. They leverage large generative models to improve academic writing.
Plato: A New Framework for Scalable Federated Learning Research.
- Federated Neural Architecture Search
- System-heterogenous Federated Learning
- Split Learning
- Personalized Federated Learning
Edge-Cloud Computing Framework: An egde-cloud computing framework across the IoT devices and a public cloud server for deep learning models.
Automatic Tooth Extraction System A system developed upon UR5 and Python, navigating the robotic arm to automatically plan and conduct the tooth extraction surgery.
Extensions for Course Projects
- Hybrid Fuzzing
- V-Guard Applied in Supply Chain
- Fly Express Recognition
- Extended Structure Entropy
- Mentor Relate
- Solidwork Application on the Cloud
- CPU with Five-level Pipeline
- Medical Image Classification
Useful Tools
- SpecNet: Replication of a series of networks completely training and inferencing over spectral/frequency domain.
- Non-IID Dataset Creater: A interface to create non-i.i.d. dataset quickly in federated learning.
- Hirschberge Editing Distance: A C++ implementation of Hirschberge editing distance
Useful Resources
I would like to share some useful references during my research experience. Please kindly check them.
If you like my projects, sponsorship is welcomed!
