Pinned Repositories
advanced-java
😮 Core Interview Questions & Answers For Experienced Java(Backend) Developers | 互联网 Java 工程师进阶知识完全扫盲：涵盖高并发、分布式、高可用、微服务、海量数据处理等领域知识
AgentGPT
🤖 Assemble, configure, and deploy autonomous AI Agents in your browser.
algorithm-base
专门为刚开始刷题的同学准备的算法基地，没有最细只有更细，立志用动画将晦涩难懂的算法说的通俗易懂！
awesome-action-recognition
A curated list of action recognition and related area resources
awesome-attention-mechanism-in-cv
:punch: 计算机视觉中用到的注意力模块和其他即插即用模块PyTorch Implementation Collection of Attention Module and Plug&Play Module
book
古语有云：书中自有黄金屋，书中自有颜如玉。身为程序员的我们，阅读相关技术书籍是必不可少的，然而普通的一本技术类书籍，少说也得有两三厘米厚，天天那么带在身上也不方便。 为了减轻广大小伙伴们的负担，节约寻找书籍的时间，我不辞辛劳，通宵达旦，花费洪荒之力各个搜索网站收集了几百本常用的电子书，希望能帮到大家。
chineseocr
yolo3+ocr
coding-interview-university
A complete computer science study plan to become a software engineer.
PlotNeuralNet
Latex code for making neural networks diagrams
Screen-Vehicle-Detection-using-Tensorflow-API
Screen&Vehicle Detection in eye tracking videos using Tensorflow API
star0-1's Repositories
star0-1/book
古语有云：书中自有黄金屋，书中自有颜如玉。身为程序员的我们，阅读相关技术书籍是必不可少的，然而普通的一本技术类书籍，少说也得有两三厘米厚，天天那么带在身上也不方便。 为了减轻广大小伙伴们的负担，节约寻找书籍的时间，我不辞辛劳，通宵达旦，花费洪荒之力各个搜索网站收集了几百本常用的电子书，希望能帮到大家。
star0-1/PlotNeuralNet
Latex code for making neural networks diagrams
star0-1/advanced-java
😮 Core Interview Questions & Answers For Experienced Java(Backend) Developers | 互联网 Java 工程师进阶知识完全扫盲：涵盖高并发、分布式、高可用、微服务、海量数据处理等领域知识
star0-1/AgentGPT
🤖 Assemble, configure, and deploy autonomous AI Agents in your browser.
star0-1/algorithm-base
专门为刚开始刷题的同学准备的算法基地，没有最细只有更细，立志用动画将晦涩难懂的算法说的通俗易懂！
star0-1/awesome-action-recognition
A curated list of action recognition and related area resources
star0-1/awesome-attention-mechanism-in-cv
:punch: 计算机视觉中用到的注意力模块和其他即插即用模块PyTorch Implementation Collection of Attention Module and Plug&Play Module
star0-1/coding-interview-university
A complete computer science study plan to become a software engineer.
star0-1/External-Attention-pytorch
🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
star0-1/git-demo
star0-1/github-slideshow
A robot powered training repository :robot:
star0-1/interviews
Everything you need to know to get the job.
star0-1/IT_book
本项目收藏这些年来看过或者听过的一些不错的常用的上千本书籍，没准你想找的书就在这里呢，包含了互联网行业大多数书籍和面试经验题目等等。有人工智能系列（常用深度学习框架TensorFlow、pytorch、keras。NLP、机器学习，深度学习等等），大数据系列(Spark,Hadoop,Scala,kafka等)，程序员必修系列（C、C++、java、数据结构、linux，设计模式、数据库等等）
star0-1/Java
All Algorithms implemented in Java
star0-1/java-design-patterns
Design patterns implemented in Java
star0-1/JavaGuide
「Java学习+面试指南」一份涵盖大部分 Java 程序员所需要掌握的核心知识。准备 Java 面试，首选 JavaGuide！
star0-1/lantern
Lantern官方版本下载 蓝灯 翻墙 代理 科学上网 外网 加速器 梯子 路由 lantern proxy vpn censorship-circumvention censorship gfw accelerator
star0-1/leetcode
LeetCode Solutions: A Record of My Problem Solving Journey.( leetcode题解，记录自己的leetcode解题之路。)
star0-1/LeetCodeAnimation
Demonstrate all the questions on LeetCode in the form of animation.（用动画的形式呈现解LeetCode题目的思路）
star0-1/LeetcodeTop
汇总各大互联网公司容易考察的高频leetcode题🔥
star0-1/linghu-algorithm-templete
star0-1/models
Models and examples built with TensorFlow
star0-1/okhttp
Square’s meticulous HTTP client for the JVM, Android, and GraalVM.
star0-1/openpose
OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation
star0-1/pdf
编程电子书，电子书，编程书籍，包括C，C#，Docker，Elasticsearch，Git，Hadoop，HeadFirst，Java，Javascript，jvm，Kafka，Linux，Maven，MongoDB，MyBatis，MySQL，Netty，Nginx，Python，RabbitMQ，Redis，Scala，Solr，Spark，Spring，SpringBoot，SpringCloud，TCPIP，Tomcat，Zookeeper，人工智能，大数据类，并发编程，数据库类，数据挖掘，新面试题，架构设计，算法系列，计算机类，设计模式，软件测试，重构优化，等更多分类
star0-1/Protective-Wearing-and-Action-Recognition-Detection-Based-on-Pose-Estimation
star0-1/Python-100-Days
Python - 100天从新手到大师
star0-1/SimpleCVReproduction
:punch: Reproduce simple cv project including attention module, classification, object detection, segmentation, keypoint detection, tracking :smile: etc.
star0-1/SlowFast
PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.
star0-1/transformer
A TensorFlow Implementation of the Transformer: Attention Is All You Need