Guo Xun's starred repositories
diffusion_models
A series of tutorial notebooks on denoising diffusion probabilistic models in PyTorch
Diffusion-Models-pytorch
Pytorch implementation of Diffusion Models (https://arxiv.org/pdf/2006.11239.pdf)
minDiffusion
Self-contained, minimalistic implementation of diffusion models with Pytorch.
minimal-diffusion
A minimal yet resourceful implementation of diffusion models (along with pretrained models + synthetic images for nine datasets)
Diffusion-Models-pytorch
Pytorch implementation of Diffusion Models (https://arxiv.org/pdf/2006.11239.pdf)
denoising-diffusion-pytorch
Implementation of Denoising Diffusion Probabilistic Model in Pytorch
DeepLearning
Python for《Deep Learning》，该书为《深度学习》(花书) 数学推导、原理剖析与源码级别代码实现
Awesome-Diffusion-Models
A collection of resources and papers on Diffusion Models
Awesome-Text-to-Image
(ෆ`꒳´ෆ) A Survey on Text-to-Image Generation/Synthesis.
a-PyTorch-Tutorial-to-Image-Captioning
Show, Attend, and Tell | a PyTorch Tutorial to Image Captioning
ICL_PaperList
Paper List for In-context Learning 🌷
prompt-in-context-learning
Awesome resources for in-context learning and prompt engineering: Mastery of the LLMs such as ChatGPT, GPT-3, and FlanT5, with up-to-date and cutting-edge updates.
transformer
Transformer: PyTorch Implementation of "Attention Is All You Need"
seq2seq.pytorch
Sequence-to-Sequence learning using PyTorch
transformer-pytorch
Transformer implementation in PyTorch.
pytorch-seq2seq
Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.
CoCa-pytorch
Implementation of CoCa, Contrastive Captioners are Image-Text Foundation Models, in Pytorch