Stars
This repo implements a Stable Diffusion model in PyTorch with all the essential components.
Pytorch implementation of Diffusion Models (https://arxiv.org/pdf/2006.11239.pdf)
Stable Diffusion implemented from scratch in PyTorch
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
High-Resolution Image Synthesis with Latent Diffusion Models
An online playground of diffusion model
Implementation of Denoising Diffusion Probabilistic Model in Pytorch
A collection of resources and papers on Diffusion Models
A latent text-to-image diffusion model
Diffusion model papers, survey, and taxonomy
Official repo for consistency models.
Denoising Diffusion Probabilistic Models
Official code for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)
Inference-Time Alignment in Protein Diffusion Models
An open source python library for scalable Bayesian optimisation.
The release codes of LA-MCTS with its application to Neural Architecture Search.
Bayesian Optimisation over Multiple Continuous and Categorical Inputs (CoCaBO)
🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch and FLAX.
A method of machine-learning aided design (MLAD) is proposed for accelerated design and synthesis of multi-beam metasurface antennas.
Implementation of "Exponential Natural Evolution Strategies" (xNES) https://arxiv.org/abs/1106.4487
An offical implementation of PatchTST: "A Time Series is Worth 64 Words: Long-term Forecasting with Transformers." (ICLR 2023) https://arxiv.org/abs/2211.14730
A Collection of Variational Autoencoders (VAE) in PyTorch.
This repository hosts a simple demonstration of a deep learning approach for the inverse design of patch antennas. The goal is to explore energy-efficient designs and to significantly reduce simula…