bayesian-flow-networks
Discover Bayesian Flow Networks designed for effective modeling of continuous and discrete data. This project offers flexible loss functions, versatile probability models, and essential scripts for tasks such as training and testing. Experience practical experiments including MNIST and CIFAR-10, enhanced by PyTorch integration. It ensures reproducibility and offers integration options for advanced data analysis, benefiting researchers and practitioners in data-centric domains.
