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DMLC for Scalable and Reliable Machine Learning

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1

Deep Learning with MXNetR

http://dmlc.ml/rstats/2015/11/03/training-deep-net-with-R.html

Deep Learning with MXNetR. Nov 3, 2015. Deep learning has been an active field of research for some years, there are breakthroughs in image and language understanding etc. However, there has not yet been a good deep learning package in R that offers state-of-art deep learning models and the real GPU support to do fast training on these models. In this post, we introduce MXNetR. Train your first neural network in five minutes. Use MXNet for Handwritten Digits Classification Competition. The following code...

2

End to End Neural Art with Generative Models

http://dmlc.ml/mxnet/2016/06/20/end-to-end-neural-style.html

End to End Neural Art with Generative Models. Jun 20, 2016. In this blog, we will describe how we design an end to end neural starry night style generator: Compare to traditional optimization based neural style algorithm, this end to end generator will generate styled image in a single shot, which makes it possible to generate style in real time. Note: It is an independent work along with [6]. Thanks Ian Goodfellow for pointing out this. An End to End Neural Style Network. In neural style algorithm, the ...

3

Deep Learning in a Single File for Smart Devices

http://dmlc.ml/mxnet/2015/11/10/deep-learning-in-a-single-file-for-smart-device.html

Deep Learning in a Single File for Smart Devices. Nov 10, 2015. Deep Learning in a Single File for Smart Devices. Deep learning (DL) systems are complex and often have a few of dependencies. It is often painful to port a DL library into different platforms, especially for smart devices. There is one fun way to solve this problem: provide a light interface and putting all required codes into. Amalgamation: Make the Whole System into a Single File. Script, thanks to Jack Deng. File contains a light predict...

4

Recurrent Models and Examples with MXNetR

http://dmlc.ml/rstats/2016/08/19/recurrent-models-and-examples-with-mxnet-r.html

Recurrent Models and Examples with MXNetR. Aug 19, 2016. As a new lightweight and flexible deep learning platform, MXNet. Provides a portable backend, which can be called from R side. MXNetR. Is an R package that provide R users with fast GPU computation and state-of-art deep learning models. In this post, We have provided several high-level APIs for recurrent models with MXNetR. Three kinds of recurrent cells, including custom RNN, LSTM and GRU cells. How to unroll RNN models to common feedward network.

5

XGBoost4J: Portable Distributed XGBoost in Spark, Flink and Dataflow

http://dmlc.ml/2016/03/14/xgboost4j-portable-distributed-xgboost-in-spark-flink-and-dataflow.html

XGBoost4J: Portable Distributed XGBoost in Spark, Flink and Dataflow. Mar 14, 2016. Nan Zhu, Tianqi Chen. Is a library designed and optimized for tree boosting. Gradient boosting trees model is originally proposed by Friedman et al. By embracing multi-threads and introducing regularization, XGBoost delivers higher computational power and more accurate prediction. More than half of the winning solutions in machine learning challenges. Hosted at Kaggle adopt XGBoost ( Incomplete list. On the other side, th...

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terrytangyuan.github.io terrytangyuan.github.io

About - Yuan's Blog

http://terrytangyuan.github.io/about

Hey, this is Yuan. The more you give, the more you receive. I am currently working as a data scientist at Uptake. In Chicago, IL. I focus on building predictive models and streamlined modeling engine used across multiple verticals. I also work in conjunction with software engineering team to build scalable data science platform. Before joining Uptake, I was a full-time data scientist at Analytical Flavor Systems. I graduated from the Pennsylvania State University. The more you give, the more you receive.

terrytangyuan.github.io terrytangyuan.github.io

与机器之心关于开源的对话 - Yuan's Blog

http://terrytangyuan.github.io/2016/11/09/interview-with-jiqizhixin-open-source

An Interview with Synced (www.jiqizhixin.com) on Open-source. Posted by Yuan Tang on November 9, 2016. 机器之心 你参与过 TensorFlow, XGBoost, MXNet 等软件项目,同时也是 Scikit Flow, ggfortify, metric-learn 的作者,可以为大家在其中挑选几个你觉得最喜爱的项目,为大家介绍一下 为什么偏爱这几个项目. 在这里我想简单谈谈我最近在做的 Scikit Flow,也就是现在被放在 TensorFlow.contrib 里面的 TF.Learn. 这些都是需要对低阶的 TensorFlow API 有深度的理解才能实现的一些功能。 Ggfortify 达到的目的就是对比较常用的一些 R 数据分析包的结果进行可视化,避免用户花太多时间学习怎样用 ggplot2 的特殊语法来实现一个常见的可视化。 机器之心 你一方面在 Uptake 带领团队,另一方面又是开源社区的活跃贡献者,从公司以及社区成员的两个不同的角度看,将项目开源的优势和劣势分别是什么呢.

terrytangyuan.github.io terrytangyuan.github.io

Introduction to Scikit Flow - Yuan's Blog

http://terrytangyuan.github.io/2016/03/14/scikit-flow-intro

Introduction to Scikit Flow. A Simplified Interface to TensorFlow. Posted by Yuan Tang on March 14, 2016. This blog is featured in DataScienceWeekly here. In November, 2015, Google open-sourced its numerical computation library called TensorFlow. However, there’s a large number of potential users, including some researchers, data scientists, and students who may be familiar with many data science concepts/algorithms already but who never get involved in deep learning research/applications, may found it r...

terrytangyuan.github.io terrytangyuan.github.io

Building Machine Learning Estimator in TensorFlow - Yuan's Blog

http://terrytangyuan.github.io/2016/07/08/understand-and-build-tensorflow-estimator

Building Machine Learning Estimator in TensorFlow. Understanding the Internals of TensorFlow Learn Estimators. Posted by Yuan Tang on July 8, 2016. This blog is featured in DataScienceWeekly here. And Chinese translation here (中文). Have you ever wondered what’s the magic behind the tutorials on Large-scale Linear Models. And Wide and Deep Learning. I hope this post would at least point you to the right direction. By utilizing detailed logics hidden in. Will be replaced by. In the meantime,. Intializes th...

srippa.wordpress.com srippa.wordpress.com

Deep learning SW libraries | Bits and pieces

https://srippa.wordpress.com/2015/11/06/deep-learning-sw-libraries

A collection of items that interest me. November 6, 2015. May 7, 2016. Deep learning SW libraries. Evaluation of Deep learning toolkits. Comparing popular open source frameworks. A comparison of deep learning frameworks. Deep laerning frameworks (Oct 2015). Benchmarks on different frameworks on same problems. Including examples of network architectures. The READ me portion. Of the benchmark points to the original papers describing various architectures. 8211; list of links. 8211; lists of links. Nervanas...

terrytangyuan.github.io terrytangyuan.github.io

TensorFlow - Not Just for Deep Learning - Yuan's Blog

http://terrytangyuan.github.io/2016/08/06/tensorflow-not-just-deep-learning

TensorFlow - Not Just for Deep Learning. A Glance at Its Machine Learning Building Blocks and Collection of Algorithms. Posted by Yuan Tang on August 6, 2016. Chinese translation here (中文). One time when I was illustrating the code base. To my friends, they were quite surprised by how much more code was introduced since TensorFlow’s first open-source release. They were only expecting several popular types of deep learning algorithms from the code base as heard from other people and social media. A wide v...

terrytangyuan.github.io terrytangyuan.github.io

High-level Learn Module in TensorFlow - Yuan's Blog

http://terrytangyuan.github.io/2016/06/09/scikit-flow-v09

High-level Learn Module in TensorFlow. Seemless Integration and Changes on Scikit Flow. Posted by Yuan Tang on June 9, 2016. This blog is featured in DataScienceWeekly here. Since Scikit Flow has been included in v0.8. As its TensorFlow Learn module. It has been under rapid development both internally and externally to push it towards distributed and work more seemlessly with TensorFlow’s internals. As mentioned in its recent release v0.9. With the great addition of graph actions module. Internally so us...

terrytangyuan.github.io terrytangyuan.github.io

Tags - Yuan's Blog

http://terrytangyuan.github.io/tags

Stay hungry. Stay foolish. One Line of Code to ggplot2 Popular R Packages. One Line of Code to ggplot2 Popular R Packages. 极客头条专访 掌握 Google 深度学习框架的正确姿势. An Interview with CSDN (www.csdn.net). TensorFlow in Practice: Google Deep Learning Framework. An Interview with Synced (www.jiqizhixin.com) on Open-source. TensorFlow - Not Just for Deep Learning. A Glance at Its Machine Learning Building Blocks and Collection of Algorithms. Building Machine Learning Estimator in TensorFlow. Introduction to Scikit Flow.

terrytangyuan.github.io terrytangyuan.github.io

Projects - Yuan's Blog

http://terrytangyuan.github.io/projects

A list of contributed open-source projects. Simplified Interface for Distributed Machine Learning inside TensorFlow. Unified Interface to Visualize Popular Statistical R Packages with ggplot2 Style. R Package for Performing and Visualizing Local Fisher Discriminant Analysis Methods. Numerical Computation Library Using Data Flow Graphs for Scalable Machine Learning. Flexible and Efficient Deep Learning Library on Heterogeneous Distributed Systems. General-purpose Gradient Boosting Library.

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Private Financing For Real Estate Investors and Developers – Serving Philadelphia And Surrounding Communities Since 1962

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Large-Scale Machine Learning at UW. Machine learning and data-driven approaches are becoming very important in many areas. It is increasing important to make scalable machine learning solutions. For learning This is the project page about this joint effort at University of Washington. Most of the projects listed in this page is also part of Distributed Machine Learning Common. XGBoost: A Scalable Tree Boosting System. And machine learning engineers in industry. MXNet: Efficient and Flexible Deep Learning.

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DIRECTORATE OF MILITARY LANDS & CANTONMENTS (DML&C)

Cant B in DMLC. Shahid Ramij Uddin Cantonment College, Dhaka. Shahid Ramij Uddin Cantonment School, Dhaka. Muslim Modern Academy, Dhaka. Senapalli High School, Dhaka. Addorsho Bidda Niketon, Manikdi, Dhaka. Mirpur Cantonment Board High School, Dhaka. Riverview Cantonment Board School, Dhaka. Cantonment College, Comilla. Comilla Cantonment Boys High School, Comilla. Cantonment Board Girls High School, Comilla. Cantonment Board High School,Comilla. Cantonment High School, Jessore. Cantt Board Girls High Sc...

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For Scalable and Reliable Machine Learning. Jan 7, 2017 : Bring TensorBoard to MXNet. Dec 14, 2016 : GPU Accelerated XGBoost. Nov 21, 2016 : Fusion and Runtime Compilation for NNVM and TinyFlow. Oct 26, 2016 : A Full Integration of XGBoost and Apache Spark. Sep 30, 2016 : Build your own TensorFlow with NNVM and Torch. Aug 19, 2016 : Recurrent Models and Examples with MXNetR. Aug 3, 2016 : MXNet Pascal Titan X benchmark. Jul 29, 2016 : Use Caffe operator in MXNet. Jul 2, 2016 : Support Dropout on XGBoost.

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မြန်မာစာနှင့်ဘာသာစကားပညာရေးဦးစီးဌာန | Department of Myanmar Language Commission

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دار المنافع للاستثمار العقاري - الرئيسية

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Delhi Malayalee Latin Catholic Association (Regd.)

Delhi Malayalee Latin Catholic Association (Regd.). Sunday, August 23, 2009. Labels: AGM 2008- 09 English. Labels: AGM 2008 - 09 Malayalam. Sunday, November 2, 2008. DMLCA Executive committee meeting will be held on Sunday 16th November 2008 at St. Joseph’s Church, NIT—5, Faridabad, Haryana at 10.00 AM. 1 Discussions regarding newly launched Fund raising programme. 2 Discussions about Christmas—New Year Celebrations. Please do attend the same and be a part of DMLCA's growth. Monday, September 29, 2008.