mlpack.org
mlpack: a fast, flexible c++ machine learning librarymlpack: a fast, flexible c++ machine learning library
http://www.mlpack.org/
mlpack: a fast, flexible c++ machine learning library
http://www.mlpack.org/
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mlpack: a fast, flexible c++ machine learning library | mlpack.org Reviews
https://mlpack.org
mlpack: a fast, flexible c++ machine learning library
mlpack.org
mlpack: a scalable c++ machine learning library
http://www.mlpack.org/benchmarks.html
Is benchmarked with an automatic benchmarking system. Which was developed as a Google Summer of Code project in 2013 by Marcus Edel, and subsequently improved by Anand Soni as part of Google Summer of Code 2014. The benchmarking system has an interactive interface. Which can be used to comprehensively survey the runtimes of mlpack. Methods. This page displays several pre-selected benchmarks for mlpack 1.0.10. All k-nearest neighbors, k = 3.
mlpack: a scalable c++ machine learning library
http://www.mlpack.org/about.html
Is a C machine learning library with emphasis on scalability, speed, and ease-of-use. Its aim is to make machine learning possible for novice users by means of a simple, consistent API, while simultaneously exploiting C language features to provide maximum performance and maximum flexibility for expert users. This is done by providing a set of command-line executables. Which can be used as black boxes, and a modular C API. As a result of this approach, mlpack. In your work using this citation. Gaussian m...
mlpack: a scalable c++ machine learning library
http://www.mlpack.org/help.html
Get help with mlpack. If you need help using or getting started with mlpack. There are many sources of documentation and tutorials. File for the mlpack. For using mlpack 2.0.3. Refer to command-line program documentation. For mlpack 2.0.3. For the C interface of mlpack 2.0.3. View documentation for other versions of mlpack. Including the git master branch). Send an email to the mlpack mailing list. Send IRC messages to #mlpack. On freenode ( webchat. Search through the issues list.
mlpack: a scalable c++ machine learning library
http://www.mlpack.org/involved.html
Is an open-source project, so anyone is welcome to become a part of the community and contribute. There is no need to be a machine learning expert to participate—often, there are many tasks to be done that don't require in-depth knowledge. A good place to start is to download. Compile it from source ( tutorial. And set up a development environment. Once you've done this, it would probably be useful to get a feel for some of the algorithms mlpack. To perform some machine learning tasks. Mailing list to re...
mlpack: a scalable c++ machine learning library
http://www.mlpack.org/history.html
July 21st, 2016. Mlpack 2.0.3. Standardize some parameter names for programs (old names are kept for reverse compatibility, but warnings will now be issued). RectangleTree optimizations ( #721. Fix memory leak in NeighborSearch ( #731. Documentation fix for k-means tutorial ( #730. Fix TreeTraits for BallTree ( #727. Fix incorrect parameter checks for some command-line programs. Fix error in HMM training with probabilities for each point ( #636. June 20th, 2016. Mlpack 2.0.2. Changed versioning macros ML...
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ratml : personal webpage of ryan curtin
http://www.ratml.org/pub.html
Rage against the machine learning. Personal website of ryan r. curtin. Here is a list of publications, listed in reverse order of publication. I also have a Google Scholar profile. Although the information there may not always be up-to-date. RR Curtin, C.D. Kersey. "Dual-tree nearest neighbor search on the GPU". RR Curtin. "Dual-tree k-means clustering with bounded single-iteration runtime". In preparation. [pdf]. Journal of Open Source Software. Vol 1:26, pp. 1- 2, 2016. [pdf]. Vol 16, p. 3269-3297,...
ratml : personal webpage of ryan curtin
http://www.ratml.org/cv.html
Rage against the machine learning. Personal website of ryan r. curtin. 439 Calhoun St. NW. Atlanta, GA 30318. Understand an algorithm. Make it faster. In Electrical and Computer Engineering. Georgia Institute of Technology, Atlanta, GA. Advisors: Dr. David V. Anderson, Dr. Alexander G. Gray, Dr. Charles L. Isbell, Jr. In Electrical and Computer Engineering. Georgia Institute of Technology, Atlanta, GA. With Highest Honors in Electrical Engineering. Georgia Institute of Technology, Atlanta, GA. Plug-and-p...
BioInformatics | 基因堂
http://www.gene-seq.com/category/bioinformatics
Deep Learning System Improves Breast Cancer Detection. Researchers from Beth Israel Deaconess Medical Center (BIDMC) and Harvard Medical School have developed a deep learning. Approach to read and interpret pathology images. Trained on Tesla K80 GPUs. Detailing more of their work. For the slide-based classification task, human pathologists were accurate 96 percent of the time. The framework used for breast cancer detection. Data Analysis / Data Visualization. Data Analysis / Data Visualization. Misc Scri...
推荐:国外程序员整理的机器学习资源大全-计算机视觉网-计算机视觉论坛
http://www.cvchina.net/post/145.html
作者 admin 分类 知识百科. 它提供C ， C, Python, Java 以及 MATLAB 接口，并支持 Windows, Linux， Android and Mac OS 操作系统。 一个 Porter 词干提取算法的原生 Go 语言净室实现. Paice/Husk 词干提取算法的 Go 语言实现. Go 语言版的 Snowball 词干提取器. Go 语言的 SVG 生成库。 斯坦福大学的 CoreNLP 提供一系列的自然语言处理工具，输入原始英语文本，可以给出单词的基本形式 下面 Stanford 开头的几个工具都包含其中。 Stanford Name Entity Recognizer. Tregex， Tsurgeon and Semgrex. 用来在树状数据结构中进行模式匹配，基于树关系以及节点匹配的正则表达式 名字是 tree regular expressions 的缩写。 Stanford Topic Modeling Toolbox. MLlib in Apache Spark. Javascript 及 coffeescript 编写的 NLP 工具. Training...
国外程序员整理的机器学习资源大全 | 机器算法 |Life吧 - Steven中文网志
http://www.lifeba.org/arch/machinelearning_resource.html
Steven中文网志 - 生存之道 Just Do It. 本文永久链接地址: http:/ www.lifeba.org/arch/machinelearning resource.html. 它提供C , C, Python, Java 以及 MATLAB接口，并支持Windows, Linux, Android and Mac OS操作系统。 Stanford Name Entity Recognizer. Tregex, Tsurgeon and Semgrex. 用来在树状数据结构中进行模式匹配，基于树关系以及节点匹配的正则表达式 名字是 tree regular expressions 的缩写。 Stanford Topic Modeling Toolbox. MLlib in Apache Spark. 数据聚类的基本函数 k-means, dp-means等。 提供并包装了超过180个特殊的数学函数，由Stephen L. Moshier开发，是SciPy的核心，应用于很多场合。 Torch可用的优化算法库，包括 SGD, Adagrad, 共轭梯度算法, LBFGS, RProp等算法。
Some useful/interesting links | Phlog
https://phifel.wordpress.com/some-usefulinteresting-links
Skip to primary content. IBM Watson News Explorer. From the Cognitive Visualization Lab. Also watson.ted.com. Is a gateway to the tools used in sophisticated text analysis and retrieval. Is a scalable machine learning library, written in C , that aims to provide fast, extensible implementations of cutting-edge machine learning algorithms. mlpack provides these algorithms as simple command-line programs and C classes which can then be integrated into larger-scale machine learning solutions. 8211; jStat is...
Hua Ouyang, College of Computing, Gatech
http://www.learninger.com/index.html
Tel: (404) 349 6824. Labs, Sunnyvale CA. A@BC, A=houyang, B=yahoo-inc, C=com. A Research Scientist at Yahoo Labs. I got my Ph.D. from the College of Computing. I was adviced by Alex Gray. Statistical and Computational learning theories, fast algorithms, and their applications. Georgia Institute of Technology . The Chinese University of Hong Kong ,. Huazhong University of Science and Technology ,. Hua Ouyang, Alexander Gray. Data-Distributed Weighted Majority and Online Mirror Descent. ArXiv 2011. Hua Ouy...
herr strathmann | coffee climbing jazz math | Page 2
http://herrstrathmann.de/page/2
Coffee climbing jazz math. I Like Intractable Likelihoods. March 25, 2014. December 24, 2015. Last week, I went to the i-like. Workshop at Oxford university. All of Britain’s statisticians were there and I met many of them for the first time. Check out my two posters ( Russian Roulette. Kernel Adaptive Metropolis Hastings. Talks were amazing – as in last NIPS. Or directly sub-sampling likelihoods or gradients. Talked about optimal rates and scaling for Pseudo-Marginal MCMC. There finally are some nic...
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Coupons and Special Offers. 15/16U FALL TRAVEL TRYOUTS. ALL PLAYERS MUST REGISTER ONLINE. WE HAVE NO BOUNDARY RESTRICTIONS! FALL BALL ONLINE REGISTRATION OPEN. FOR FALLBALL AT SAILFISH TBD. Email us questions or requests to:. Fall Ball League from Sept-Nov. Summer, Spring Break and Holiday Camps. Private or Group Lessons. High School Prep Workouts. WELCOME TO MLP ACADEMY WEBSITE. Fall Travel Teams Will Be. We hope everyone is enjoying your summer break! We have added a 13U, 14U and 15/16U Travel Team tha...
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Michelle's Marketing Blog / Just another WordPress site
Michelle's Marketing Blog. Just another WordPress site. Welcome to my site! My name is Michelle Pacheco, and I am a junior at the University of Mary Washington where I am currently working to be a business major. I have lived in Fredericksburg my entire life and love to call this place home. I find joy in the many things that life allows and am a believer in a free life and life to the full. Leave a Reply Cancel reply. Your email address will not be published. Required fields are marked *.
mlpack: a fast, flexible c++ machine learning library
Is a fast, flexible machine learning library, written in C , that aims to provide fast, extensible implementations of cutting-edge machine learning algorithms. mlpack. Provides these algorithms as simple command-line programs, Python bindings, and C classes which can then be integrated into larger-scale machine learning solutions. Newest version 3.0.0. Released mar. 30th, 2018. What is mlpack and what does it implement? How fast is mlpack? How do I get help? How can I join the mlpack community?
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