miss1997yuan Goto Github PK
Name: zhiyuan
Type: User
Company: hust
Bio: a huster fresh in ai ,interested in cv,ml
Location: wuhan china
Name: zhiyuan
Type: User
Company: hust
Bio: a huster fresh in ai ,interested in cv,ml
Location: wuhan china
整理一些推荐算法的代码,主要spark,tf完成
100 Days of ML Coding
Code for AAAI 2018 accepted paper: "Improving the Adversarial Robustness and Interpretability of Deep Neural Networks by Regularizing their Input Gradients"
I am a full-stack engineer for AI projects, glad to share my experience. pratices make the top engineer.
Multi-thread implementation of Factorization Machines with FTRL for binary-class classification problem.
Project page for our paper: Interpreting Adversarially Trained Convolutional Neural Networks
经典编程书籍大全,涵盖:计算机系统与网络、系统架构、算法与数据结构、前端开发、后端开发、移动开发、数据库、测试、项目与团队、程序员职业修炼、求职面试等
Awesome Deep Learning papers for industrial Search, Recommendation and Advertising. They focus on Embedding, Matching, Ranking (CTR prediction, CVR prediction), Post Ranking, Transfer, Reinforcement Learning, Self-supervised Learning and so on.
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
Pytorch implementation of β-VAE
大数据/数据挖掘/推荐系统/机器学习相关资源
程序员相关电子书资料免费分享,欢迎关注个人微信公众号:程序员编程指南
Model interpretability and understanding for PyTorch(针对pytorch)
Play deep learning with CIFAR datasets
PyTorch code for Class Visualization Pyramid for intpreting spatio-temporal class-specific activations throughout the network
🕵️♂️ Interpreting Convolutional Neural Network (CNN) Results.
吴恩达老师的机器学习课程个人笔记
腾讯内部的关于C++标准调整的自动化工具
计算机类常用电子书整理,并且附带下载链接,包括Java,Python,Linux,Go,C,C++,数据结构与算法,人工智能,计算机基础,面试,设计模式,数据库,前端等书籍
:books: Tech Interview Guide 技术面试必备基础知识、Leetcode 题解、Java、C++、Python、后端面试、操作系统、计算机网络、系统设计
code for "Training Interpretable Convolutional NeuralNetworks by Differentiating Class-specific Filters"
YOLOv4 - Neural Networks for Object Detection (Windows and Linux version of Darknet )教会你怎么画框,怎么make等技术
昊神整理的一系列数据竞赛的解决方案
《Designing Data-Intensive Application》DDIA中文翻译,一本关于分布式系统的简单阐述的书
《Python深度学习》书籍代码
python深度学习的源码
深度学习入门开源书,基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.
DeepVis Toolbox
Easy-to-use,Modular and Extendible package of deep-learning based CTR models .
A unified framework of perturbation and gradient-based attribution methods for Deep Neural Networks interpretability. DeepExplain also includes support for Shapley Values sampling. (ICLR 2018)
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.