Skip to content
View medxiaorudan's full-sized avatar
🐢
🐢

Block or report medxiaorudan

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse

Pinned Loading

  1. SmartCustomerService SmartCustomerService Public

    An Retrieval-Augmented Generation (RAG)-powered Generative AI application that enables administrators to securely manage company data, allowing users to engage in company-specific conversations or,…

    Python 1

  2. CodeGeneration CodeGeneration Public

    Prompt engineering with Langchain and fine-tuning the CodeLlama model. The main aim is to generate task-specific C++ code snippets. Experiment with various prompts and models to create accurate C++…

    C++ 7 2

  3. RCC-VascularMorphClassify RCC-VascularMorphClassify Public

    Machine learning project for classification of kidney cancer. Image processing and machine learning is carried out using Python, while Matlab handles advanced feature extraction. The approach uniqu…

    MATLAB 5

  4. MSSL MSSL Public

    PyTorch-driven model for efficient vascular segmentation and classification using limited data. Combines semi-supervised and supervised techniques, setting a new standard in resource-efficient auto…

    Python 4

  5. ColorectalCancer ColorectalCancer Public

    Frontend project in R Shiny for genetic risk assessment of colorectal cancer. Harnessing population cohort research, this platform analyzes genetic mutations to determine disease susceptibility and…

    R 5

  6. LLM_NER_MultiNERD LLM_NER_MultiNERD Public

    LLM fine-tuned for Named Entity Recognition in MultiNERD Dataset

    Jupyter Notebook 1