earsonlau

earsonlau's Stars

• donnemartin/system-design-primer

  Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.

  Language:Python273k6.5k32046k

• geekan/HowToLiveLonger

  程序员延寿指南 | A programmer's guide to live longer

  29.9k2311292.1k

• mrgloom/awesome-semantic-segmentation

  :metal: awesome-semantic-segmentation

  10.5k441252.5k

• qubvel-org/segmentation_models.pytorch

  Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.

  Language:Python9.5k816421.7k

• XPixelGroup/BasicSR

  Open Source Image and Video Restoration Toolbox for Super-resolution, Denoise, Deblurring, etc. Currently, it includes EDSR, RCAN, SRResNet, SRGAN, ESRGAN, EDVR, BasicVSR, SwinIR, ECBSR, etc. Also support StyleGAN2, DFDNet.

  Language:Python6.8k915561.2k

• lifei6671/interview-go

  golang面试题集合

  Language:Go5k8851897

• shomali11/go-interview

  Collection of Technical Interview Questions solved with Go

  Language:Go4.6k1423476

• dk-liang/Awesome-Visual-Transformer

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

  3.4k10341395

• HRNet/HRNet-Semantic-Segmentation

  The OCR approach is rephrased as Segmentation Transformer: https://arxiv.org/abs/1909.11065. This is an official implementation of semantic segmentation for HRNet. https://arxiv.org/abs/1908.07919

  Language:Python3.1k57266686

• MrGiovanni/UNetPlusPlus

  [IEEE TMI] Official Implementation for UNet++

  Language:Python2.3k4780539

• moskomule/senet.pytorch

  PyTorch implementation of SENet

  Language:Python2.3k160441

• bigmb/Unet-Segmentation-Pytorch-Nest-of-Unets

  Implementation of different kinds of Unet Models for Image Segmentation - Unet , RCNN-Unet, Attention Unet, RCNN-Attention Unet, Nested Unet

  Language:Python1.9k1666345

• guaguaupup/cpp_interview

  c++后台服务器开发面经或八股总结！(有深度有广度，和仅有概念的总结文章不同！)

  1.5k411222

• PKU-Alignment/omnisafe

  JMLR: OmniSafe is an infrastructural framework for accelerating SafeRL research.

  Language:Python92538103132

• HRNet/HRFormer

  [ NeurIPS2021] This is an official implementation of our paper "HRFormer: High-Resolution Transformer for Dense Prediction".

  Language:Python487143261

• ZwwWayne/K-Net

  [NeurIPS2021] Code Release of K-Net: Towards Unified Image Segmentation

  Language:Python466103345

• algorithmzuo/coding-for-great-offer

  大厂算法和数据结构刷题班

  Language:Java391152306

• lucidrains/med-seg-diff-pytorch

  Implementation of MedSegDiff in Pytorch - SOTA medical segmentation using DDPM and filtering of features in fourier space

  Language:Python21141328

• mikuhuyo/wanxin-p2p

  使用SpringBoot + SpringCloudAlibaba(正在重构中)搭建的金融类微服务项目-万信金融. 万信金融是一个P2P(person-to-person)金融平台, 采用银行存管模式, 为用户提供方便, 快捷, 安心的P2P金融服务. 项目包括交易平台和业务支撑两个部分, 交易平台主要实现理财服务, 包括: 借钱, 出借等模块; 业务支撑包括: 标的管理, 对账管理, 风控管理等模块, 项目采用先进的互联网分布式系统架构进行研发, 保证了P2P双方交易的安全性, 快捷性及稳定性.

  Language:Java2053869

• choosehappy/PytorchDigitalPathology

  An implementation of Unet for pytorch designed for digital pathology segmentation

  Language:Jupyter Notebook12271166

• ZhenZHAO/AugSeg

  [CVPR'23] Augmentation Matters: A Simple-yet-Effective Approach to Semi-supervised Semantic Segmentation

  Language:Python11643517

• iarai/Landslide4Sense-2022

  Data description and baseline code for LandSlide4Sense 2022 competition

  Language:Python8471022

• LarsDoorenbos/ccdm-stochastic-segmentation

  Repository for "Stochastic Segmentation with Conditional Categorical Diffusion Models" (ICCV 2023)

  Language:Python43644

• traviskaufman/effective-communication-book

  A book I'm working on about how to communicate as a software engineer, modeled after the "Effective Software Development" series

  Language:JavaScript43540

• juhongm999/pervit

  Official PyTorch Implementation of Peripheral Vision Transformer, NeurIPS 2022

  Language:Python38222

• pashtari/factorizer

  Pytorch implementation of Factorizer.

  Language:Python34243

• visheratin/segment-anything

  The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

  Language:Jupyter Notebook23003

• bithubhq/bithub-go

  Go library for the BitHub API.

  Language:Go4101

• jason71995/meta_sr

  Implementation of Meta-SR on Keras and Tensorflow 2.0

  Language:Python3204

• FrankyEdison/RedBubble

  一个使用Gin、GORM等技术开发的仿Reddit社交网络平台

  Language:Go110