nero's Projects
Experience, Learn and Code the latest breakthrough innovations with Microsoft AI
Code for ALBEF: a new vision-language pre-training method
Minimal examples of data structures and algorithms in Python
Multi-thread implementation of Factorization Machines with FTRL for binary-class classification problem.
A Flexible and Powerful Parameter Server for large-scale machine learning
Apollo(阿波罗)是携程框架部门研发的分布式配置中心,能够集中化管理应用不同环境、不同集群的配置,配置修改后能够实时推送到应用端,并且具备规范的权限、流程治理等特性,适用于微服务配置管理场景。
📚 Papers by organizations sharing their work on applied data science & machine learning.
Config files for my GitHub profile.
my github blog
大数据学习,从零开始学习大数据,包含大数据学习各阶段学习视频、面试资料
Blade is a powerful build system from Tencent, supports many mainstream programming languages, such as C/C++, java, scala, python, protobuf...
A high performance and generic framework for distributed DNN training
用tensorflow进行中文自然语言处理的情感分析
SpringCloud2020最新技术学习
Making big AI models cheaper, easier, and scalable
C++那些事
「C/C++学习+面试指南」一份涵盖大部分 C++ 程序员所需要掌握的知识。入门、进阶、深入、校招、社招,准备 C++ 学习& 面试,首选 CppGuide!
This's the tool for CTR, including FM, FFM, NFFM and so on.
PyTorch DataLoaders implemented with DALI for accelerating image preprocessing
搭建的一个拥有消费者提供者且实现消费者调用远程服务的入门Demo,供学习Dubbo的同学学习和入门。
Easy-to-use,Modular and Extendible package of deep-learning based CTR models for search and recommendation.
Python for “Deep Learning”,《深度学习》(花书) 数学推导、原理剖析与源码级别代码实现
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15个章节,近20万字。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[email protected] 版权所有,违权必究 Tan 2018.06
Deep Learning Examples
DeepTables: Deep-learning Toolkit for Tabular data
An implementation of a deep learning recommendation model (DLRM)
Deep Match to Rank Model for Personalized Click-Through Rate Prediction
DSSM and Multi-View DSSM
A Toolkit for Industrial Topic Modeling