upupbo

upupbo's Stars

• 996icu/996.ICU

  Repo for counting stars and contributing. Press F to pay respect to glorious developers.

  270k4.2k021.1k

• bannedbook/fanqiang

  翻墙-科学上网

  Language:Kotlin38.9k1.2k7717.3k

• fengdu78/Coursera-ML-AndrewNg-Notes

  吴恩达老师的机器学习课程个人笔记

  Language:HTML32.4k1k6810.7k

• PaddlePaddle/PaddleHub

  Awesome pre-trained models toolkit based on PaddlePaddle. (400+ models including Image, Text, Audio, Video and Cross-Modal with Easy Inference & Serving)【安全加固，暂停交互，请耐心等待】

  Language:Python12.8k1831.3k2.1k

• mrgloom/awesome-semantic-segmentation

  :metal: awesome-semantic-segmentation

  10.6k442252.5k

• milesial/Pytorch-UNet

  PyTorch implementation of the U-Net for image semantic segmentation with high quality images

  Language:Python9.5k714482.5k

• TingsongYu/PyTorch_Tutorial

  《Pytorch模型训练实用教程》中配套代码

  Language:Python7.6k89281.7k

• kuangliu/pytorch-cifar

  95.47% on CIFAR10 with PyTorch

  Language:Python6.1k951362.2k

• instillai/deep-learning-roadmap

  :satellite: All You Need to Know About Deep Learning - A kick-starter

  Language:Python4.6k2140671

• ayooshkathuria/YOLO_v3_tutorial_from_scratch

  Accompanying code for Paperspace tutorial series "How to Implement YOLO v3 Object Detector from Scratch"

  Language:Python2.3k5470726

• PaddlePaddle/PaddleVideo

  Awesome video understanding toolkits based on PaddlePaddle. It supports video data annotation tools, lightweight RGB and skeleton based action recognition model, practical applications for video tagging and sport action detection.

  Language:Python1.6k38327386

• JiaRenChang/PSMNet

  Pyramid Stereo Matching Network (CVPR2018)

  Language:Python1.5k33241424

• guanfuchen/semseg

  常用的语义分割架构结构综述以及代码复现 华为媒体研究院 图文Caption、OCR识别、图视文多模态理解与生成相关方向工作或实习欢迎咨询 15757172165 https://guanfuchen.github.io/media/hw_zhaopin_20220724_tiny.jpg

  Language:Python7722355164

• SSL92/hyperIQA

  Source code for the CVPR'20 paper "Blindly Assess Image Quality in the Wild Guided by A Self-Adaptive Hyper Network"

  Language:Python38174853

• jayboxyz/deeplearning-cv-notes

  :notebook: DeepLearning and CV notes.

  Language:Jupyter Notebook3451838128

• sungonce/CVNet

  Official PyTorch Implementation of Correlation Verification for Image Retrieval, CVPR 2022 (Oral Presentation)

  Language:Python180121111

• TachibanaYoshino/Remote-sensing-image-semantic-segmentation

  The project uses Unet-based improved networks to study Remote sensing image semantic segmentation, which is based on keras.

  Language:Python14061241

• chequanghuy/TwinLiteNet

  Language:Python13842632

• huapohen/general_parking_slot_detection

  Language:Python9621919

• f64051041/SARAS-Net

  Language:Python58199

• zwx8981/TCSVT-2022-BVQA

  Blindly Assess Quality of In-the-Wild Videos via Quality-aware Pre-training and Motion Perception

  Language:Python471146

• sunwei925/CompressedVQA

  Deep Learning based Full-reference and No-reference Quality Assessment Models for Compressed UGC Videos

  Language:Python32140

• pmonasse/stereo-guided-filter

  Disparity map estimation in a stereo pair of images with cost volume filtering

  Language:C++26429

• Baoliang93/GSTVQA

  Code for 'Learning Generalized Spatial-Temporal Deep Feature Representation for No-Reference Video Quality Assessment'

  Language:Python19134

• CuiNing6/Project

  京东猪脸识别

  Language:Jupyter Notebook19109

• zhengye1995/datafountain_siweituxin_autodriver_det

  2019 第五届“四维图新”杯创新大赛 自动驾驶视觉综合感知 检测baseline

  Language:Python15124

• lllllllllllll-llll/hyperIQA

  Pytorch version of the CVPR 2020 paper: Blindly Assess Image Quality in the Wild Guided by A Self-Adaptive Hyper Network

  Language:Python13310

• Gdnaiteab/open-bilibili-go-common

  网传的bilibili开源代码 go实现

  Language:Go7104

• upupbo/DF_autodring

  自动驾驶视觉综合感知竞赛——baseline

  Language:Python4101

• tomowang/id-card-ocr

  Language:Python1310