Shypd.aiThe largest open index of AI toolsdiffusion_models is an open-source research and education tool that provides tutorial notebooks on denoising diffusion probabilistic models in PyTorch. It helps users understand generative models and their applications.
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diffusion_models offers a series of tutorial notebooks designed to educate users on denoising diffusion probabilistic models (DDPMs) using PyTorch. These tutorials delve into the theoretical underpinnings of DDPMs, drawing inspiration from thermodynamics and denoising score matching. The resource also covers related topics such as Langevin dynamics, autoregressive decoding, and the more recent denoising diffusion implicit models (DDIMs) for accelerated sampling. Additionally, it explores practical applications like the WaveGrad model for audio data. The notebooks are available in both PyTorch and JAX, providing a comprehensive learning experience for those interested in advanced generative AI models.
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