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followers: 27.0 following: 35.0 repos: 97.0 gists: 1.0

Name: zhiyuan

Type: User

Company: hust

Bio: a huster fresh in ai ，interested in cv，ml

Location: wuhan china

zhiyuan 's Projects

adversarial-robustness-public

Code for AAAI 2018 accepted paper: "Improving the Adversarial Robustness and Interpretability of Deep Neural Networks by Regularizing their Input Gradients"

ai_projects

I am a full-stack engineer for AI projects, glad to share my experience. pratices make the top engineer.

alphafm

Multi-thread implementation of Factorization Machines with FTRL for binary-class classification problem.

at-cnn

Project page for our paper: Interpreting Adversarially Trained Convolutional Neural Networks

awesome-cs-books

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-search-recommendation-advertising

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.

awesome-production-machine-learning

A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

beta-vae

Pytorch implementation of β-VAE

big-data-resources

大数据/数据挖掘/推荐系统/机器学习相关资源

c-c-

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

captum

Model interpretability and understanding for PyTorch（针对pytorch）

cifar-10-cnn

Play deep learning with CIFAR datasets

class_feature_visualization_pyramid

PyTorch code for Class Visualization Pyramid for intpreting spatio-temporal class-specific activations throughout the network

cnn-exposed

🕵️‍♂️ Interpreting Convolutional Neural Network (CNN) Results.

coursera-ml-andrewng-notes

吴恩达老师的机器学习课程个人笔记

cpplint

腾讯内部的关于C++标准调整的自动化工具

cs-book

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

cs-notes

: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

csgcnn

code for "Training Interpretable Convolutional NeuralNetworks by Differentiating Class-specific Filters"

darknet

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

data-competition-topsolution

昊神整理的一系列数据竞赛的解决方案

ddia

《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

deep-learning-with-python

《Python深度学习》书籍代码

deep-learning-with-python-notebooks

python深度学习的源码

deep-learning-with-tensorflow-book

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.

deep-visualization-toolbox

DeepVis Toolbox

deepctr

Easy-to-use,Modular and Extendible package of deep-learning based CTR models .

deepexplain

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)

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zhiyuan 's Projects

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