Aron Monszpart
Node.js | Graphics. Parallel.
The Gaussian Processes Web Site. 15 Best Open Source Design Tools. You may not be familiar with what open source design tools are but that’s about to change.
In a nutshell, open source design tools are design tools that are free for anyone and everyone to use. When you think of tools like this, a few tools probably come to mind. The most popular is Blender which you’ll see listed as the first open source design tool on our list below. Feature length films have been made with Blender as well as numerous other projects. PhD Application. Courses. Oxford Knight Jobs.
List of 40+ Machine Learning APIs. Con la tecnología de Traductor Wikipedia defines Machine Learning as “a branch of artificial intelligence that deals with the construction and study of systems that can learn from data.”
(If you arrived here looking how to add or list an API to Mashape, you check out the Tutorials section here). Below is a compilation of APIs that have benefited from Machine Learning in one way or another, we truly are living in the future so strap into your rocketship and prepare for blastoff.
Stormy-Mappers. Inspiration Software, Inc. - The Leader in Visual Thinking and Learning. Easy Graphic Organizer - Edraw. Click Here to Free Download Edraw Graphic Organizer Graphic organizers assist you in demonstrating relationships between facts, concepts or ideas with minimal effort and makes it very easy for beginners.
Built-in graphic organizers and clip art present the concepts and relationship faster and smarter. Examples of Graphic Organizers Edraw includes some powerful graphic design tools that can be used to create graphic organizers for learning. The following examples illustrate a wide range of graphic organizers. Free K-12 Education Graphic Organizer Templates. Why Creating Graphic Organizers is Easier with Creately Graphic organizers comes in various forms and our powerful productivity features will cut down the time spent on drawing them.
Our 1-click create and connect feature lets you create and connect the next object in 1 single click. With most other diagramming tools you need at least 3 clicks to drag the object, create the connector and connect it with the object. Our smart objects and connectors automatically adjust according to the diagram so you don't have to manually rearrange things as soon as you change a position of one object.
Visualization. Graph Visualization for the Web. The top 20 data visualisation tools. 50+ Javascript Visualization Libraries - Vizualize Your Data! With JavaScript visualization libraries, it is possible to turn data sets into great web based visual representations that customers and management will love.
Most people would agree that having sufficient data available is vital to support important decisions. Large and complex data sets, on the other hand, can be time consuming and difficult to consume in a busy working environment. This is why many organizations put great effort into creating internal reports, management dashboards filled with graphs and support sales arguments with data visualization. In fact, I believe that infograpics are great examples of how data can be put to life and made easy to consume.
Tripwire Magazine created a useful post in this topic that you may want to check out. To help you get an overview of the available solutions and get started visualizing your data, I have collected more than 50 of the best JavaScript visualization solutions for your web projects. Sigmajs – MORE INFO morris.js – MORE INFO. 40 Useful and Free Visualization Libraries: Charts, Diagrams and Flowcharts. Don't Forget to participate in a contest where you can win an amazing e-Commerce template from TemplateMonster.
Here, we have come up with an interesting round up of some beautiful visualization libraries. Presenting collected data to the users is a very common need in web application or software. There was a time when data was presented simply through numbers and words even the complicated data like traffic statistics and clicking hits. That was pretty simply method. Computer vision, algorithms, depth data. Home Dashboard. SoundCloud - Hear the world’s sounds. Prismatic.
Standard C++ Gaussian Processes. Nonlinear dimensionality reduction. High-dimensional data, meaning data that requires more than two or three dimensions to represent, can be difficult to interpret.
One approach to simplification is to assume that the data of interest lie on an embedded non-linear manifold within the higher-dimensional space. If the manifold is of low enough dimension, the data can be visualised in the low dimensional space. Top-left: a 3D dataset of 1000 points in a spiraling band (a.k.a. the Swiss roll) with a rectangular hole in the middle. Top-right: the original 2D manifold used to generate the 3D dataset. Bottom left and right: 2D recoveries of the manifold respectively using the LLE and Hessian LLE algorithms as implemented by the Modular Data Processing toolkit. Below is a summary of some of the important algorithms from the history of manifold learning and nonlinear dimensionality reduction (NLDR).[1] Many of these non-linear dimensionality reduction methods are related to the linear methods listed below. Linear methods[edit] .
Interesting Engineering. Mechanical Sympathy. 50 Life Hacks to Simplify your World. Life hacks are little ways to make our lives easier.
Altucher Confidential. Gary Vaynerchuk. Deap - Distributed Evolutionary Algorithms in Python. DEAP is a novel evolutionary computation framework for rapid prototyping and testing of ideas.
It seeks to make algorithms explicit and data structures transparent. It works in perfect harmony with parallelisation mechanism such as multiprocessing and SCOOP . DEAP includes the following features: Genetic algorithm using any imaginable representation List, Array, Set, Dictionary, Tree, Numpy Array, etc. Documentation. OpenTechSchool – Introducing IPython Notebook. Until now we've worked with Python either directly via the interactive Python console, or by writing Python programs using a text editor.
FFV1. FFV1 , which stands for "FF video codec 1", is a lossless intra-frame video codec . It can use either variable length coding or arithmetic coding for entropy coding . The encoder and decoder are part of the free, open-source library libavcodec in the project FFmpeg since June 2003. [ 1 ] FFV1 is also included in ffdshow , which makes the video codec available to any Microsoft Windows application that uses system-wide codecs. Video archiving [ edit ] For long-term preservation of digital video sustainable container formats as well as audio/video codecs are necessary. 3D Tech News and Pixel Hacking - Geeks3D.com.
GLFW - An OpenGL library. Lighthouse3d.com. ViennaCL - Linear Algebra Library using CUDA, OpenCL, and OpenMP. Cusp-library - Generic Parallel Algorithms for Sparse Matrix and Graph Computations. OpenCL Compiler, Embedded Source, Encryption. One of the more interesting features of OpenCL is that OpenCL kernels are compiled at runtime. This provides a great degree of flexibility for certain kinds of systems, however, it can be detrimental to others. Adding the time required for compilation to the runtime of your application somewhat negates the benifits of OpenCL acceleration in the first place. Scrapy/scrapely. Peepdf - PDF analysis and creation/modification tool. PARALUTION - The Library for Iterative Sparse Methods on CPU and GPU. G2o solver - OpenSLAM.org. Google C++ Style Guide. Definition: Streams are a replacement for printf() and scanf().
Pros: With streams, you do not need to know the type of the object you are printing. You do not have problems with format strings not matching the argument list. Teaching Tree.
3D scanning pipeline.