yan zhou (zhou3968322)

zhou3968322

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Location:shanghai

Twitter:@zhou3968322

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yan zhou's starred repositories

Yet-Another-Anime-Segmenter

Instance segmentation for anime characters based on CondInst and SOLOv2

Language:Jupyter NotebookLicense:MITStargazers:188Issues:0Issues:0

Yet-Another-EfficientDet-Pytorch

The pytorch re-implement of the official efficientdet with SOTA performance in real time and pretrained weights.

Language:Jupyter NotebookLicense:LGPL-3.0Stargazers:5200Issues:0Issues:0

MEAL-V2

MEAL V2: Boosting Vanilla ResNet-50 to 80%+ Top-1 Accuracy on ImageNet without Tricks. In NeurIPS 2020 workshop.

Language:PythonStargazers:687Issues:0Issues:0

chinese_correct_wsd

简易的中文纠错和消歧

Language:PythonStargazers:284Issues:0Issues:0

VOS-Paper-List

Semi-Supervised Video Object Segmentation(VOS) Paper List

Stargazers:28Issues:0Issues:0

stylegan2

StyleGAN2 - Official TensorFlow Implementation

Language:PythonLicense:NOASSERTIONStargazers:10935Issues:0Issues:0

CV_WSSL

Weakly-/Semi-Supervised Learning in Computer vision

Stargazers:131Issues:0Issues:0

Awesome-Few-Shot-Image-Generation

A curated list of papers, code and resources pertaining to few-shot image generation.

Stargazers:360Issues:0Issues:0

ffhq-dataset

Flickr-Faces-HQ Dataset (FFHQ)

Language:PythonLicense:NOASSERTIONStargazers:3658Issues:0Issues:0

cvpods

All-in-one Toolbox for Computer Vision Research.

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Bert_OCR.pytorch

Unofficial PyTorch implementation of 2D Attentional Irregular Scene Text Recognizer

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SRN.pytorch

Unofficial PyTorch implementation of Towards Accurate Scene Text Recognition with Semantic Reasoning Networks

Language:PythonStargazers:192Issues:0Issues:0

cjkvi-ids

IDS data for CJK Unified Ideographs

Stargazers:400Issues:0Issues:0

FASPell

2019-SOTA简繁中文拼写检查工具:FASPell Chinese Spell Checker (Chinese Spell Check / 中文拼写检错 / 中文拼写纠错 / 中文拼写检查)

Language:PythonLicense:GPL-3.0Stargazers:1193Issues:0Issues:0

zi2zi

Learning Chinese Character style with conditional GAN

Language:PythonLicense:Apache-2.0Stargazers:2509Issues:0Issues:0

mmagic

OpenMMLab Multimodal Advanced, Generative, and Intelligent Creation Toolbox. Unlock the magic 🪄: Generative-AI (AIGC), easy-to-use APIs, awsome model zoo, diffusion models, for text-to-image generation, image/video restoration/enhancement, etc.

Language:Jupyter NotebookLicense:Apache-2.0Stargazers:6839Issues:0Issues:0

DeOldify

A Deep Learning based project for colorizing and restoring old images (and video!)

Language:PythonLicense:MITStargazers:17904Issues:0Issues:0

multi-gpu-programming-models

Examples demonstrating available options to program multiple GPUs in a single node or a cluster

Language:CudaLicense:BSD-3-ClauseStargazers:520Issues:0Issues:0

pix2pixHD

Synthesizing and manipulating 2048x1024 images with conditional GANs

Language:PythonLicense:NOASSERTIONStargazers:6610Issues:0Issues:0

waveglow

A Flow-based Generative Network for Speech Synthesis

Language:PythonLicense:BSD-3-ClauseStargazers:2258Issues:0Issues:0

cuda-samples

Samples for CUDA Developers which demonstrates features in CUDA Toolkit

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PyProf

A GPU performance profiling tool for PyTorch models

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ocropus3

Repository collecting all the submodules for the new PyTorch-based OCR System.

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SNN

Matlab code implementation the modified Non Local Means and Bilateral filters, as described in I. Frosio, J. Kautz, Statistical Nearest Neighbors for Image Denoising, IEEE Trans. Image Processing, 2018. The repository also includes the Matlab code to replicate the results of the toy problem described in the paper.

Language:MATLABLicense:NOASSERTIONStargazers:42Issues:0Issues:0

selfsupervised-denoising

High-Quality Self-Supervised Deep Image Denoising - Official TensorFlow implementation of the NeurIPS 2019 paper

Language:PythonLicense:NOASSERTIONStargazers:301Issues:0Issues:0

ocrodeg

document image degradation

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SegLossOdyssey

A collection of loss functions for medical image segmentation

Language:PythonLicense:Apache-2.0Stargazers:3740Issues:0Issues:0

REDNet-pytorch

PyTorch Implementation of image Restoration Using Very Deep Convolutional Encoder-Decoder Networks with Symmetric Skip Connections (NIPS 2016)

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imaginaire

NVIDIA's Deep Imagination Team's PyTorch Library

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InfoGAN

Code for reproducing key results in the paper "InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets"

Language:PythonStargazers:1052Issues:0Issues:0