uranuszs Goto Github PK
Type: User
Type: User
Papers on Computational Advertising
2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记
Multi-thread implementation of Factorization Machines with FTRL for binary-class classification problem.
TensorFlow code and pre-trained models for BERT
Parallel ML System - Bosen project
Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit
A fast multi-producer, multi-consumer lock-free concurrent queue for C++11
The famous algrithoms for click through rate for recommendation
CTR prediction model based on spark(LR, GBDT, DNN)
My solutions to Udacity's Parallel Programming course (CS 344)
《动手学深度学习》,英文版即伯克利深度学习(STAT 157,2019春)教材。面向中文读者、能运行、可讨论。
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,近30万字。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
Python package built to ease deep learning on graph, on top of existing DL frameworks.
A toolkit for making real world machine learning and data analysis applications in C++
A common bricks library for building scalable and portable distributed machine learning.
Library for fast text representation and classification.
GraphChi's C++ version. Big Data - small machine.
Book <Spark GraphX In Action> code and resources.
C++ implementation of a fast hash map and hash set using hopscotch hashing
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more
LeetCode题解,151道题完整版
A Library for Field-aware Factorization Machines
Lightweight and Scalable framework that combines mainstream algorithms of Click-Through-Rate prediction Based Machine Learning, Deep Learning and Philosophy of Parameter Server or Ring-Reduce Collective communication.
A fast, distributed, high performance gradient boosting (GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks. It is under the umbrella of the DMTK(http://github.com/microsoft/dmtk) project of Microsoft.
Scalable, fast, and lightweight system for large-scale topic modeling
Lingvo
Record my machine learning study
公众号机器学习荐货情报局所有代码
Parameter server framework for distributed machine learning
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.