Unofficial PyTorch Implementation of EvoNorm
MIT License
PyTorch models and training code for 'Planet: Understanding the Amazon from Space' Kaggle
Implementation of Bottleneck Transformer in Pytorch
Fully Convolutional Networks for Semantic Segmentation by Jonathan Long*, Evan Shelhamer*, and Tr...
Unofficial PyTorch implementation of Masked Autoencoders Are Scalable Vision Learners
📚 PyTorch知识点积累
Semantic Image Synthesis with SPADE
Implementation of E(n)-Equivariant Graph Neural Networks, in Pytorch
The original weights of some Caffe models, ported to PyTorch.
Open source reproduction in PyTorch of "Neural Predictor for Neural Architecture Search".
My personal codebase for segmentation tasks.
Pytorch and JAX Implementation of Scalable Diffusion Models with Transformers | Diffusion Transfo...
LayerNorm(SmallInit(Embedding)) in a Transformer to improve convergence
Adversarially Learned Inference in Pytorch