stong125's repositories
tuning_playbook
A playbook for systematically maximizing the performance of deep learning models.
NOASSERTION000
segment-anything
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
Apache-2.0000
bm3d-gpu
CUDA implementation of BM3D
NOASSERTION000
iFormer
iFormer: Inception Transformer
Apache-2.0000
DAEFormer
DAE-Former: Dual Attention-guided Efficient Transformer for Medical Image Segmentation
MIT000
External-Attention-pytorch
🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
MIT000
noise2sim
Noise2Sim is a general unsupervised deep denoising method.
000