Yannis Liu's starred repositories
smart-sketch
🖌 photorealistic drawings from simple sketches using NVIDIA's GauGAN
latent-diffusion
High-Resolution Image Synthesis with Latent Diffusion Models
deformable-attention
Implementation of Deformable Attention in Pytorch from the paper "Vision Transformer with Deformable Attention"
QuantStudy
python量化策略代码
uncertainty-toolbox
A python toolbox for predictive uncertainty quantification, calibration, metrics, and visualization
deformableConvolution_3D
3D Deformable Convolution Network
vit-pytorch
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
MAE-pytorch
Unofficial PyTorch implementation of Masked Autoencoders Are Scalable Vision Learners
CBAM.PyTorch
Non-official implement of Paper：CBAM: Convolutional Block Attention Module
Swin-Transformer-Semantic-Segmentation-Without-mmsegmentation
Unofficial implementation of Swin-Transformer-Semantic-Segmentation, relatively independent code, easy to add to other models.
mmsegmentation
OpenMMLab Semantic Segmentation Toolbox and Benchmark.
Swin-Transformer-Semantic-Segmentation
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows" on Semantic Segmentation.
Video-Swin-Transformer
This is an official implementation for "Video Swin Transformers".
batchgenerators
A framework for data augmentation for 2D and 3D image classification and segmentation
MAE-pytorch
Unofficial PyTorch implementation of Masked Autoencoders Are Scalable Vision Learners
remixer-pytorch
Implementation of the Remixer Block from the Remixer paper, in Pytorch
PySimpleGUI
Python GUIs for Humans! PySimpleGUI is the top-rated Python application development environment. Launched in 2018 and actively developed, maintained, and supported in 2024. Transforms tkinter, Qt, WxPython, and Remi into a simple, intuitive, and fun experience for both hobbyists and expert users.
nnDetection
nnDetection is a self-configuring framework for 3D (volumetric) medical object detection which can be applied to new data sets without manual intervention. It includes guides for 12 data sets that were used to develop and evaluate the performance of the proposed method.
g-mlp-pytorch
Implementation of gMLP, an all-MLP replacement for Transformers, in Pytorch
MLP-Mixer-pytorch
Unofficial implementation of MLP-Mixer: An all-MLP Architecture for Vision