Graph Neural Network Expert in PyTorch
Budget: $10 – $30 USD
I'm looking for an experienced deep learning and neural networks specialist to help in modifying a python code for graph neural network for image denoising. I need someone to use "Neighbourhood Sampling" for selecting nodes (pixels) instead of using all pixels in the image.
Key Requirements:
- Expertise in Graph Neural Networks and PyTorch: I'm specifically interested in implementing the graph neural network using PyTorch.
- Understanding of Neighbourhood Sampling: The primary aim is to minimize memory usage for the network using Neighbourhood Sampling technique.
Dataset:
The primary dataset for this project is Radar Spectrograms.
I'm looking for someone who has experience in a similar project to bring their expertise to the table. Please provide relevant samples of your work in your proposal.
Key Requirements:
- Expertise in Graph Neural Networks and PyTorch: I'm specifically interested in implementing the graph neural network using PyTorch.
- Understanding of Neighbourhood Sampling: The primary aim is to minimize memory usage for the network using Neighbourhood Sampling technique.
Dataset:
The primary dataset for this project is Radar Spectrograms.
I'm looking for someone who has experience in a similar project to bring their expertise to the table. Please provide relevant samples of your work in your proposal.