Yufei Xu's repositories
mmpose
OpenMMLab Pose Estimation Toolbox and Benchmark.
ViTAE-Transformer-Matting
The official repo for the paper "Rethinking Portrait Matting with Privacy Preserving". For further questions, please contact Sihan Ma at sima7436@uni.sydney.edu.au or Jizhizi Li at jili8515@uni.sydney.edu.au
Swin-Transformer
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".
unilm
Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
powerlevel10k
A Zsh theme
mmclassification
OpenMMLab Image Classification Toolbox and Benchmark
dino-1
PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO
pytorch-hed
a reimplementation of Holistically-Nested Edge Detection in PyTorch
simsiam
PyTorch implementation of SimSiam https//arxiv.org/abs/2011.10566
deep-online-video-stabilization-deploy
deep-online-video-stabilization-deploy
TF-SimpleHumanPose
TensorFlow implementation of "Simple Baselines for Human Pose Estimation and Tracking", ECCV 2018
DIFRINT
TOG20/SIGGRAPH Asia19 "Deep Iterative Frame Interpolation for Full-frame Video Stabilization" - PyTorch
rfnet
RF-Net: An End-to-End Image Matching Network based on Receptive Field
Mesh-Flow-Video-Stabilization
Online video stabilization using a novel MeshFlow motion model
attention-module
Official PyTorch code for "BAM: Bottleneck Attention Module (BMVC2018)" and "CBAM: Convolutional Block Attention Module (ECCV2018)"
swift
Swift for TensorFlow Project Home Page
siamese-pytorch
Implementation of Siamese Networks for image one-shot learning by PyTorch, train and test model on dataset Omniglot
onnx-tensorflow
Tensorflow Backend and Frontend for ONNX_forked for test
onnx
Open Neural Network Exchange
Notes-for-The-Elements-of-Stastical-Learning
a repository used for store the notes and some translation in learning "the elements of stastical learning"
flask-example
python+Flask
Reinforcement-learning-with-tensorflow
Simple Reinforcement learning tutorials
tensorflow
Computation using data flow graphs for scalable machine learning