NeuralGraph is a powerful AI training data visualization tool designed to analyze and interpret training data for neural networks. It provides comprehensive visualizations of loss and accuracy trends over epochs, enabling users to gain deep insights into the training process and evaluate the performance of their AI models.
BioSyn AI is an end-to-end generative pipeline that uses E(n)-Equivariant Graph Neural Networks and 3D Diffusion Models to hallucinate novel drug candidates for specific protein targets.
🌱 Unlock new cancer and rare disease treatments through AI-driven drug repurposing and synthetic biology modeling, optimizing existing FDA-approved drugs.
Add a description, image, and links to the neuralgraph topic page so that developers can more easily learn about it.
To associate your repository with the neuralgraph topic, visit your repo's landing page and select "manage topics."