csuhwq0421's Stars
zyxElsa/InST
Official implementation of the paper “Inversion-Based Style Transfer with Diffusion Models” (CVPR 2023)
EmuKit/emukit
A Python-based toolbox of various methods in decision making, uncertainty quantification and statistical emulation: multi-fidelity, experimental design, Bayesian optimisation, Bayesian quadrature, etc.
suxuann/ddib
Dual Diffusion Implicit Bridges for Image-to-Image Translation. ICLR 2023.
belakaria/MESMO
Python implementation of the Max-value Entropy Search for Multi-Objective Bayesian Optimization method
boschresearch/NoisyInputEntropySearch
This is the companion code for the paper Noisy-Input Entropy Search for Efficient Robust Bayesian Optimization by Lukas P. Fröhlich et al., AISTATS 2020
MethodsOfMachineLearning/entropy-search
Entropy Search for Information-Efficient Global Optimization - JMLR v13
Bin-Cao/Bgolearn
A Bayesian global optimization package for material design | Adaptive Learning | Active Learning
mpearmain/BayesBoost
Bayesian Optimization using xgboost and sklearn API
icon-lab/SynDiff
Official PyTorch implementation of SynDiff described in the paper (https://arxiv.org/abs/2207.08208).
lucidrains/denoising-diffusion-pytorch
Implementation of Denoising Diffusion Probabilistic Model in Pytorch
kkuroma/UNIT-DDPM-Unofficial
Unofficial "partial" implementation of https://arxiv.org/abs/2104.05358
PV-Lab/SL-PerovskiteOpt
This is a code and data repository to conduct Bayesian Optimization with knowledge constraints for manufacturing process of perovskite solar cells
ShoufaChen/DiffusionDet
[ICCV2023 Best Paper Finalist] PyTorch implementation of DiffusionDet (https://arxiv.org/abs/2211.09788)
minipuding/DenoisingDiffusionProbabilityModel-ddpm-
This may be the simplest implement of DDPM. You can directly run Main.py to train the UNet on CIFAR-10 dataset and see the amazing process of denoising.
CompVis/latent-diffusion
High-Resolution Image Synthesis with Latent Diffusion Models
parkjunkil/ZeoDiff
ChenWu98/cycle-diffusion
[ICCV 2023] A latent space for stochastic diffusion models
bubbliiiing/ddpm-pytorch
这个是一个ddpm的pytorch仓库,可以用于训练自己的数据集。