Diffusion model implementation in pytorch trained on the latent space of an autoencoder. I built this as a personal project to answer a question: what is the smallest model that can still generate ...
diffusion/ ├── model.py # UNet architecture and time embeddings ├── schedulers.py # Beta/alpha/sigma schedules, DDIM/EDM ├── losses.py # Epsilon vs x0 objectives ├── sampler.py # Ancestral & ...
The new 7nm-class chip, reportedly in testing, signals a shift to domestic fabrication and aims to rival Nvidia’s China-compliant GPUs while maintaining CUDA compatibility. Alibaba is reportedly ...
Abstract: Electromagnetic computational imaging (ECI) offers a promising solution to electromagnetic inverse scattering problems (ISPs). Whereas it is challenged by its ill-posed nature and ...
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