zhongshh (Shawn-Chung)

Shawn-Chung

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Location:guangzhou

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zhongshh's starred repositories

high-fidelity-generative-compression

Pytorch implementation of High-Fidelity Generative Image Compression + Routines for neural image compression

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MLIC

Multi-Reference Entropy Models for Learned Image Compression

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InvCompress

[ACMMM 2021 Oral] Enhanced Invertible Encoding for Learned Image Compression

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OMGD

Online Multi-Granularity Distillation for GAN Compression (ICCV2021)

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CAR

Content adaptive resampler for image downscaling

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Invertible-Image-Rescaling

[ECCV 2020, IJCV 2022] Invertible Image Rescaling

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glue-factory

Training library for local feature detection and matching

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papers-of-palm-vein-recognition

手掌静脉和手指静脉识别相关论文(CNN、GAN、Transformer、轻量级、多模态融合、模型压缩)

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Max-Curvature

Implementation of Max Curvurature algorithm for finger vein feature extraction

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vein-biometrics

A State-of-the-art Solution for Finger-Vein, Palm-Vein, Dorsal-Vein Recognition by Using Deep Learning

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movenet.pytorch

A Pytorch implementation of MoveNet from Google. Include training code and pre-trained model.

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StableStudio

Community interface for generative AI

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stable-diffusion-webui

Stable Diffusion web UI

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unidiffuser

Code and models for the paper "One Transformer Fits All Distributions in Multi-Modal Diffusion"

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DenoisingDiffusionProbabilityModel-ddpm-

This may be the simplest implement of DDPM. You can directly run Main.py to train the UNet on CIFAR-10 dataset and see the amazing process of denoising.

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Zooming-Slow-Mo-CVPR-2020

Fast and Accurate One-Stage Space-Time Video Super-Resolution (accepted in CVPR 2020)

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TDAN-VSR-CVPR-2020

TDAN: Temporally-Deformable Alignment Network for Video Super-Resolution, CVPR 2020

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Yolo-Fastest

:zap: Based on yolo's ultra-lightweight universal target detection algorithm, the calculation amount is only 250mflops, the ncnn model size is only 666kb, the Raspberry Pi 3b can run up to 15fps+, and the mobile terminal can run up to 178fps+

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CoreML-Models

Converted CoreML Model Zoo.

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U-2-Net

The code for our newly accepted paper in Pattern Recognition 2020: "U^2-Net: Going Deeper with Nested U-Structure for Salient Object Detection."

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image_captioning

Tensorflow implementation of "Show, Attend and Tell: Neural Image Caption Generation with Visual Attention" Support python3.6, python3.7 TensorFlow1.8 TensorFlow1.12 TensorFlow1.13 TensorFlow1.14 numpy 1.12 or newer

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Image-Caption-Generator

A neural network to generate captions for an image using CNN and RNN with BEAM Search.

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arcface-keras

这是一个arcface-keras的源码,可以用于训练自己的模型。

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X-VLM

X-VLM: Multi-Grained Vision Language Pre-Training (ICML 2022)

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tensorflow-triplet-loss

Implementation of triplet loss in TensorFlow

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EfficientFormer

EfficientFormerV2 [ICCV 2023] & EfficientFormer [NeurIPs 2022]

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Statistical-Learning-Methods

Implement Statistical Learning Methods, Li Hang the hard way. 李航《统计学习方法》一书的硬核 Python 实现

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Spark-Streaming-In-Python

Apache Spark 3 - Structured Streaming Course Material

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