Rosun's starred repositories
recommenders
Best Practices on Recommendation Systems
Awesome-Visual-Transformer
Collect some papers about transformer with vision. Awesome Transformer with Computer Vision (CV)
denoiser
Real Time Speech Enhancement in the Waveform Domain (Interspeech 2020)We provide a PyTorch implementation of the paper Real Time Speech Enhancement in the Waveform Domain. In which, we present a causal speech enhancement model working on the raw waveform that runs in real-time on a laptop CPU. The proposed model is based on an encoder-decoder architecture with skip-connections. It is optimized on both time and frequency domains, using multiple loss functions. Empirical evidence shows that it is capable of removing various kinds of background noise including stationary and non-stationary noises, as well as room reverb. Additionally, we suggest a set of data augmentation techniques applied directly on the raw waveform which further improve model performance and its generalization abilities.
gen-efficientnet-pytorch
Pretrained EfficientNet, EfficientNet-Lite, MixNet, MobileNetV3 / V2, MNASNet A1 and B1, FBNet, Single-Path NAS
yolact_edge
The first competitive instance segmentation approach that runs on small edge devices at real-time speeds.
ContrastiveSeg
ICCV2021 (Oral) - Exploring Cross-Image Pixel Contrast for Semantic Segmentation
Awesome-Self-Supervised-Papers
Paper bank for Self-Supervised Learning
RecommendationSystem
Book recommender system using collaborative filtering based on Spark
Enjoy-Hamburger
[ICLR 2021 top 3%] Is Attention Better Than Matrix Decomposition?
DeeperCluster
Implements the unsupervised pre-training of convolutional neural networks
motiongrouping
Repository accompanying the paper: Self-supervised Video Object Segmentation by Motion Grouping. C. Yang, H. Lamdouar, E. Lu, A. Zisserman, W. Xie.
convolution-vision-transformers
PyTorch Implementation of CvT: Introducing Convolutions to Vision Transformers
CenterNet-CondInst
Instance Segmentation based on CenterNet and CondInst
MG-HumanParsing
Differentiable Multi-Granularity Human Representation Learning for Instance-Aware Human Semantic Parsing
Scaled-down-self-supervised-learning
official pytorch implementation of Rethining Self-supervised Learning: Small is Beautiful.
Face-Parsing-Network
PyTorch implementation of Face Parsing (based on semantic segmentation)