medxiaorudan

medxiaorudan's Stars

• Micoria/Deep-Learning-for-Eyes-Disease-Detection

  Language:Python1

• Micoria/generate-AI-course

  The labs which are constructed for training

  Language:Jupyter Notebook1

• Micoria/DiseasePrediction

  Language:Python1

• Micoria/PRS

  a function which is used to calculate polygenic risk score

  Language:R2

• langgenius/dify

  Dify is an open-source LLM app development platform. Dify's intuitive interface combines AI workflow, RAG pipeline, agent capabilities, model management, observability features and more, letting you quickly go from prototype to production.

  Language:TypeScript50k7.1k

• GoogleCloudPlatform/training-data-analyst

  Labs and demos for courses for GCP Training (http://cloud.google.com/training).

  Language:Jupyter Notebook7.9k5.9k

• medxiaorudan/CodeGeneration

  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++ code. Unit test is conducted to validate the correctness and effectiveness of the generated code snippets.

  Language:C++72

• hzwlille/InterfaceGraphique

  Language:C++1

• hzwlille/crawl_zw

  Language:HTML1

• medxiaorudan/ColorectalCancer

  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 inform targeted drug selection.

  Language:R5

• medxiaorudan/RCC-VascularMorphClassify

  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 uniquely leverages vascular network properties for RCC identification.

  Language:MATLAB4

• medxiaorudan/MSSL

  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-segmentation.

  Language:Python4

• Lolispo/dominion

  The boardgame Dominion in HTML / JS

  Language:JavaScript3

• Lolispo/inhouseBot

  Discord Inhouse Bot Application

  Language:TypeScript65

• Lolispo/pkmn_auto_chess

  Multiplayer Browser game made with React and NodeJS

  Language:JavaScript132