dongzhi0312

dongzhi0312's Stars

• YunaiV/ruoyi-vue-pro

  🔥 官方推荐 🔥 RuoYi-Vue 全新 Pro 版本，优化重构所有功能。基于 Spring Boot + MyBatis Plus + Vue & Element 实现的后台管理系统 + 微信小程序，支持 RBAC 动态权限、数据权限、SaaS 多租户、Flowable 工作流、三方登录、支付、短信、商城、CRM、ERP、AI 大模型等功能。你的 ⭐️ Star ⭐️，是作者生发的动力！

  Language:Java26.8k5.7k

• kgl-prml/Contrastive-Adaptation-Network-for-Unsupervised-Domain-Adaptation

  pytorch implementation for Contrastive Adaptation Network

  Language:Python32258

• postBG/DTA.pytorch

  Official implementation of Drop to Adapt: Learning Discriminative Features for Unsupervised Domain Adaptation presented at ICCV 2019.

  Language:Python16416

• jhoffman/cycada_release

  Code to accompany ICML 2018 paper

  Language:Python558126

• macrozheng/springcloud-learning

  2024最新微服务实战教程，Spring Cloud组件、微服务项目实战、Kubernetes容器化部署全方位解析。技术栈：Spring Cloud Alibaba + Spring Boot 3.2 + JDK 17。

  Language:Java6.3k2.8k

• shishan100/Java-Interview-Advanced

  中华石杉--互联网Java进阶面试训练营

  Language:HTML4.1k1.7k

• halo-dev/halo

  强大易用的开源建站工具。

  Language:Java33.3k9.6k

• bjmashibing/InternetArchitect

  年薪百万互联网架构师课程文档及源码(公开部分)

  Language:Java4.2k2.9k

• wangzaiplus/springboot

  java springboot redisson mybatis maven

  Language:JavaScript348426

• jackfrued/Python-100-Days

  Python - 100天从新手到大师

  Language:Python155k52k

• ming71/mmdetection-annotated

  mmdetection源码注释

  Language:Python65897

• ybabakhin/kaggle_salt_bes_phalanx

  Winning solution for the Kaggle TGS Salt Identification Challenge.

  Language:Python35284

• he-y/filter-pruning-geometric-median

  Filter Pruning via Geometric Median for Deep Convolutional Neural Networks Acceleration (CVPR 2019 Oral)

  Language:Python586112

• Eric-mingjie/rethinking-network-pruning

  Rethinking the Value of Network Pruning (Pytorch) (ICLR 2019)

  Language:Python1.5k293

• zssloth/Embedded-Neural-Network

  collection of works aiming at reducing model sizes or the ASIC/FPGA accelerator for machine learning

  552121

• longpeng2008/yousan.ai

  Awesome resources of yousan.ai(closely related to deep learning).

  Language:Python1.4k519

• guan-yuan/awesome-AutoML-and-Lightweight-Models

  A list of high-quality (newest) AutoML works and lightweight models including 1.) Neural Architecture Search, 2.) Lightweight Structures, 3.) Model Compression, Quantization and Acceleration, 4.) Hyperparameter Optimization, 5.) Automated Feature Engineering.

  835161

• scutan90/DeepLearning-500-questions

  深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06

  Language:JavaScript54.3k15.8k

• google-research/lottery-ticket-hypothesis

  A reimplementation of "The Lottery Ticket Hypothesis" (Frankle and Carbin) on MNIST.

  Language:Python706136

• WuJie1010/Facial-Expression-Recognition.Pytorch

  A CNN based pytorch implementation on facial expression recognition (FER2013 and CK+), achieving 73.112% (state-of-the-art) in FER2013 and 94.64% in CK+ dataset

  Language:Python1.8k545

• BIGBALLON/CIFAR-ZOO

  PyTorch implementation of CNNs for CIFAR benchmark

  Language:Python698178

• songdejia/DFL-CNN

  This is a pytorch re-implementation of Learning a Discriminative Filter Bank Within a CNN for Fine-Grained Recognition

  Language:Python26652

• princewang1994/TextSnake.pytorch

  A PyTorch implementation of ECCV2018 Paper: TextSnake: A Flexible Representation for Detecting Text of Arbitrary Shapes

  Language:Python43592