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We present a demo of SSD-LM (Semi-autoregressive Simplex-based Diffusion Language Model) in Google Colab here!
This is a PyTorch-based implementation of diffusion models for synthesizing photorealistic images and video. It provides a framework for text-to-image and text-to-video generation, as well as unconditional image synthesis. The system utilizes a cascading diffusion pipeline to produce high-resolution imagery by passing low-resolution outputs through a sequence of super-resolution models. It also includes capabilities for image inpainting, allowing the reconstruction of masked or missing regions of visual media guided by surrounding context and text prompts. The project includes tools for diff
This project is a comprehensive machine learning interview guide and technical study resource designed for individuals preparing for machine learning and AI engineering roles. It provides a collection of materials and practice problems covering core algorithms, theoretical fundamentals, and the implementation of neural network architectures. The resource serves as a technical reference for generative AI development, focusing on the design and optimization of large language models and diffusion systems. It includes frameworks for system design, covering the architecture of production machine l
Implementation of Denoising Diffusion Probabilistic Model in Pytorch
Diffusion-LM
The main features of xiangli1999/diffusion-lm are: Continuous Diffusion Models, Gaussian Noise Diffusion.
Open-source alternatives to xiangli1999/diffusion-lm include: xhan77/ssd-lm — We present a demo of SSD-LM (Semi-autoregressive Simplex-based Diffusion Language Model) in Google Colab here! lucidrains/imagen-pytorch — This is a PyTorch-based implementation of diffusion models for synthesizing photorealistic images and video. It… alirezadir/machine-learning-interviews — This project is a comprehensive machine learning interview guide and technical study resource designed for individuals… lucidrains/denoising-diffusion-pytorch — Implementation of Denoising Diffusion Probabilistic Model in Pytorch. lucidrains/video-diffusion-pytorch — This project is a research-oriented PyTorch framework designed for the implementation and training of generative video… david3684/flm — Flow Map Language Models: One-step Language Modeling via Continuous Denoising.