Rosun's starred repositories

recommenders

Best Practices on Recommendation Systems

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Awesome-Visual-Transformer

Collect some papers about transformer with vision. Awesome Transformer with Computer Vision (CV)

mmselfsup

OpenMMLab Self-Supervised Learning Toolbox and Benchmark

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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.

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gen-efficientnet-pytorch

Pretrained EfficientNet, EfficientNet-Lite, MixNet, MobileNetV3 / V2, MNASNet A1 and B1, FBNet, Single-Path NAS

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yolact_edge

The first competitive instance segmentation approach that runs on small edge devices at real-time speeds.

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T2T-ViT

ICCV2021, Tokens-to-Token ViT: Training Vision Transformers from Scratch on ImageNet

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SETR

[CVPR 2021] Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers

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VisTR

[CVPR2021 Oral] End-to-End Video Instance Segmentation with Transformers

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ContrastiveSeg

ICCV2021 (Oral) - Exploring Cross-Image Pixel Contrast for Semantic Segmentation

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STTN

[ECCV'2020] STTN: Learning Joint Spatial-Temporal Transformations for Video Inpainting

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RecommendationSystem

Book recommender system using collaborative filtering based on Spark

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PixPro

Propagate Yourself: Exploring Pixel-Level Consistency for Unsupervised Visual Representation Learning, CVPR 2021

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Enjoy-Hamburger

[ICLR 2021 top 3%] Is Attention Better Than Matrix Decomposition?

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PixelSSL

A PyTorch-based Semi-Supervised Learning (SSL) Codebase for Pixel-wise (Pixel) Vision Tasks [ECCV 2020]

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DeeperCluster

Implements the unsupervised pre-training of convolutional neural networks

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motiongrouping

Repository accompanying the paper: Self-supervised Video Object Segmentation by Motion Grouping. C. Yang, H. Lamdouar, E. Lu, A. Zisserman, W. Xie.

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convolution-vision-transformers

PyTorch Implementation of CvT: Introducing Convolutions to Vision Transformers

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CenterNet-CondInst

Instance Segmentation based on CenterNet and CondInst

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MG-HumanParsing

Differentiable Multi-Granularity Human Representation Learning for Instance-Aware Human Semantic Parsing

SelfSup

Collections of self-supervised methods, based on cvpods.

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SoT

SoT: Delving Deeper into Classification Head for Transformer

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)

SSL.X

Papers about Self-supervised Learning in CV and NLP.