Yuan Tang

Yuan's Blog

社区分享 | 玩转 TensorFlow 社区开源贡献

「知乎原文链接」 「TensorFlow 微信公众号文章链接」 作者:唐源,现任蚂蚁集团技术专家,目前专注于建立 AI 基础架构和自动机器学习平台。 了解更多:https://github.com/terrytangyuan 作为最早一批非谷歌的TensorFlow社区贡献者,同时也是 TensorFlow committer 和 SIG IO maintainer,我将在这篇文章里分...

Introduction to Kubeflow MPI Operator and Industry Adoption

(This blog is also available on Medium and on KDnuggets) Authors: Yuan Tang (Ant Group), Wei Yan (Ant Group), and Rong Ou (NVIDIA) Kubeflow just announced its first major 1.0 release recently, wh...

CSDN专访:11年艺术学习“转投”数学,他出版首本TensorFlow中文教材,成为蚂蚁金服技术大军一员

An Interview with CSDN (www.csdn.net)

转自CSDN,原文链接。 今天是 2019 年最后一天,伴随着即将到来的 2020 年,第一批 90后互联网大军即将步入而立之年,回首他们的来时路,那些熬夜奋战的日夜,失败后的坚守,不断的创新与突破都成为他们送给自己最值得回味的礼物。 第三次 AI 浪潮下,AI 技术大军应用而生,而 90后开发者在这波大军中破竹而出,无论是国内外,还是学术界与工业界,他们完成了自己从「新生代」迅速成长为...

Sponsoring My Open Source Efforts through GitHub

Hi everyone! I recently opened my GitHub Sponsors page. Your support would be really appreciated and would encourage my on-going involvements in the open source community! Follow my Twitter and Git...

DeepMind TF-Replicator Simplifies Model Deployment on Cluster Architectures

Thoughts on DeepMind TF-Replicator with Synced

This article is cross-posted from Synced on Medium. The original post can be found here. DeepMind’s Research Platform Team has open-sourced TF-Replicator, a framework that enables researchers with...

autoplotly - One Line of R Code to Build Interactive Visualizations for Popular Statistical Results

Automatic Generation of Interactive Visualizations in ggplot2 and plotly Styles

Background Often times users only want to quickly iterate the process of exploring data, building statistical models, and visualizing the model results, especially the models that focus o...

tfestimators: TensorFlow Estimators in R

R Interface to TensorFlow Estimators

The tfestimators package is an R interface to TensorFlow Estimators, a high-level API that provides implementations of many different model types including linear models and deep neural networks. ...

CSDN专访:掌握 Google 深度学习框架的正确姿势

An Interview with CSDN (www.csdn.net)

转自CSDN,原文链接。 自 2015 年底开源到如今更快、更灵活、更方便的 1.0 版本正式发布,由 Google 推出的第二代分布式机器学习系统 TensorFlow 一直在为我们带来惊喜,一方面是技术层面持续的迭代演进,从分布式版本、服务框架 TensorFlow Serving、上层封装 TF.Learn 到 Windows 支持、JIT 编译器 XLA、动态计算图框架 Fold ...

《TensorFlow实战》- 掌握谷歌深度学习框架

TensorFlow in Practice: First Book on TensorFlow in Chinese

Google TensorFlow研发团队内部推荐的首本中文教程——《TensorFlow实战》,由TensorFlow Contributor、Committer倾力编写,获Jeff Dean、TensorFlow工程研发总监 Rajat Monga、李开复等专家赞誉好评,已成为许多中国公司和研究机构的教导材料的首选,并且已被翻译成韩语等多种语言。 适读人群:希望快速上手TensorFl...

机器之心专访:关于开源,我们和谷歌开源奖获得者、DMLC成员唐源聊了聊

An Interview with Synced (www.jiqizhixin.com) on Open-source

中文 Chinese 英语 English 转自机器之心,原文链接。 这次对话中聊到了自己在开源上的经历和经验,对开源社区以及深度学习开源项目的一些想法和看法。 关于开源的一些想法 机器之心:你参与过 TensorFlow, XGBoost, MXNet 等软件项目,同时也是 Scikit Flow, ggfortify, metric-lear...