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The University of Melbourne
- https://scholar.google.com.au/citations?user=19yx_o4AAAAJ&hl=en
Stars
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows" on Semantic Segmentation.
The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.
Zhen-Zohn-WANG / mammoth
Forked from aimagelab/mammothAn Extendible (General) Continual Learning Framework based on Pytorch.
Zhen-Zohn-WANG / leo
Forked from google-deepmind/leoImplementation of Meta-Learning with Latent Embedding Optimization
Experimenting with different regression losses. Implemented in Pytorch.
source code to ICLR'19, 'A Closer Look at Few-shot Classification'
自注意力与文本分类
yujingmarkjiang / zxing
Forked from zxing/zxingOfficial ZXing ("Zebra Crossing") project home
yujingmarkjiang / 2048-android
Forked from uberspot/2048-androidThe android port of the 2048 game (for offline playing)
Visualizing Brute Force, KMP, and Boyer-Moore
davidmignot / cloudsim
Forked from Cloudslab/cloudsimCloudSim: A Framework For Modeling And Simulation Of Cloud Computing Infrastructures And Services
AlexeyAB / darknet
Forked from pjreddie/darknetYOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )