If your data involves relationships, connections, or structures (point cloud, molecular graphs, transportation systems, etc.), Graph Neural Network (GNN) are the cutting-edge solution designed for this kind of connected data. I can design and implement GNN solution.
I offer:
- Data Preprocessing: Cleaning, preparing.
- Custom Model: Building, training, and testing GCNN, GAT, GraphSAGE.
- Domain Expertise: Regression, Classification, point cloud
- Deployment & Integration: Packaging models using APIs (Flask/FastAPI).
- Consultation & Optimization: Fine-tuning, optimizing.
My Tech Stack:
- Frameworks: PyTorch Geometric, TensorFlow, Keras, Scikit-learn.
- Languages: Python.
- Libraries: NetworkX, Deep Graph Library, NumPy.
Why Me?
- Results-Oriented
- Clear Communication
- Quality Code