Search Results for "learn" - Page 2
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Showing 55 open source projects for "learn"
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Self-learning-Computer-Science
Resources to learn computer science in your spare time
Self-learning Computer Science is a curated, open-source guide repository designed to help learners independently study computer science topics using high-quality university-level resources. The author (an undergraduate CS student) assembled links to courses from institutions like MIT, UC Berkeley, Stanford, etc., covering mathematics, programming, data structures/algorithms, computer architecture, machine learning, software engineering and more. It’s aimed at learners who find traditional... -
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SpecTcl is a Tcl/Tk based histogrammer suitable for analysis of nuclear physics data. SpecTcl is relatively easy to learn, and is based on top of a very open C++ histogramming class framework. SpecTcl has been developed under NSF grant PHY-9528844 and DOE grant DE-SC0000661 Note that as of July 2023, all future development and release packages will be occur at https://github.com/FRIBDAQ/SpecTcl
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Javis
Julia Animations and Visualizations
Javis: Julia Animations and Visualizations. Javis makes generating simple animations a breeze! Want to learn more? Check out our documentation for tutorials, our contributing guidelines, and the mission of Javis.jl. We have a live Zulip stream that you can join to discuss Javis with other Javis users. -
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EZStacking
EZStacking is Jupyter notebook generator for machine learning
EZStacking is Jupyter notebook generator for supervised learning problems using Scikit-Learn pipelines and stacked generalization. EZStacking handles classification and regression problems for structured data. It can also be viewed as a development tool, because a notebook generated with EZStacking contains: -an exploratory data analysis (EDA) used to assess data quality - a modelling producing a reduced-size stacked estimator - a server returning a prediction, a measure of the quality of input data and the execution time. -
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Hedgehog Lab
Run, compile and execute JavaScript for Scientific Computing
Hedgehog Lab is an open-source scientific computation tool in the browser. Before the development, Pleases make sure you are already installed and enabled the yarn. Once cloned, switch to the dev branch and navigate to the folder by typing cd hedgehog-lab and then running the provided commands. On each run the program compiles and it takes time. Please wait until it shows "Compiled successfully!" and instructions about with which IP:PORT to connect. -
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TensorBase
TensorBase is a new big data warehousing with modern efforts
...TensorBase has a clear-cut opposition to fork communities, repeat wheels, or hack traffic for so-called reputations (like Github stars). After thoughts, we decided to temporarily leave the general data warehousing field. For people who want to learn how a database system can be built up, or how to apply modern Rust to the high-performance field, or embed a lightweight data analysis system into your own big one. You can still try, ask or contribute to TensorBase. The committers are still around the community. We will help you in all kinds of interesting things pursued in the project by us and maybe you. ... -
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Learn Julia the Hard Way
Learn Julia the hard way
The Julia base package is pretty big, although at the same time, there are lots of other packages around to expand it with. The result is that on the whole, it is impossible to give a thorough overview of all that Julia can do in just a few brief exercises. Therefore, I had to adopt a little 'bias', or 'slant' if you please, in deciding what to focus on and what to ignore. Julia is a technical computing language, although it does have the capabilities of any general-purpose language and... -
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StellarGraph
Machine Learning on Graphs
...StellarGraph is built on TensorFlow 2 and its Keras high-level API, as well as Pandas and NumPy. It is thus user-friendly, modular and extensible. It interoperates smoothly with code that builds on these, such as the standard Keras layers and scikit-learn. -
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Data Science at the Command Line
Data science at the command line
...Even if you’re comfortable processing data with Python or R, you’ll learn how to greatly improve your data science workflow by leveraging the command line’s power. -
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Facets
Visualizations for machine learning datasets
The power of machine learning comes from its ability to learn patterns from large amounts of data. Understanding your data is critical to building a powerful machine learning system. Facets contains two robust visualizations to aid in understanding and analyzing machine learning datasets. Get a sense of the shape of each feature of your dataset using Facets Overview, or explore individual observations using Facets Dive. -
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An introduction to Data Analysis in R
A guide for learning the basic tools on data anaylisis with R
...We pay special attention to the different ways to obtain data and how to make it manageable before starting the analysis. The data analysis includes most of the basic visualization options and some advanced extra options. Finally, basic statistics is used to learn from the processed data. -
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AnyWave is a multi-platform software designed for neurologists and researchers who want to visualise and apply signal processing on electrophysiological signals. AnyWave can handle EEG, SEEG, MEG and more. MATLAB/Python/C++ plugins can be added. See this wiki section to learn how to build AnyWave on Linux : http://meg.univ-amu.fr/wiki/AnyWave:BuildSDK
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DeepLearningProject
An in-depth machine learning tutorial
This tutorial tries to do what most Most Machine Learning tutorials available online do not. It is not a 30 minute tutorial that teaches you how to "Train your own neural network" or "Learn deep learning in under 30 minutes". It's a full pipeline which you would need to do if you actually work with machine learning - introducing you to all the parts, and all the implementation decisions and details that need to be made. The dataset is not one of the standard sets like MNIST or CIFAR, you will make you very own dataset. ... -
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React Trend
Simple, elegant spark lines
Unfortunately, none of this project's authors have the time/enthusiasm to maintain this project right now. We recommend forking this project, or reading its source to learn how it's built). Graphing tools are often complex, abstract, and heavy. They require domain-specific knowledge and significant time investment. While building rich data visualizations for an analytics app, is a necessary cost. But what if you just need a sparkline that shows a trend? These are very simple and elegant visualizations, and they should not require a bloated graphing library to produce. ... -
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Open Cezeri Library
Effective Linear Algebra and Computer Vision Library with JAVA
OCL stands for Open Cezeri Library (yet another linear algebra and matrix library). This library provides rapid coding as matlab ease of use. To learn for library please try to use test examples at OpenCezeriLibrary\test\test. It is originally developed at el-cezeri laboratory of Siirt University, in order to establish generic framework of reusable components and software tools for machine vision, machine learning, AI and robotic applications. Currently, it holds following main concepts 1- Vision: It can access web cams, imaging source industrial cameras for manuel settings and advanced issues. ... -
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JegasCRM
CRM/CMS/DBMS/WEBSERVER/PROJECTMGT
WWW.JEGAS.COM has GITHUB link on JegasCRM/JAS product page! PROJECT HAS ALREADY LEFT SORCEFORGE -
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netmate
displays network protocol headers in uniform RFC like format
Netmate is a GTK+ program that shows network protocols headers in 32-bit aligned fields, identical as they are represented in Request for Comments (RFCs). It can be used to learn and teach about network protocols and to understand their functionality and collaboration. -
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AsphaltOpen is a project to visualize data collected during road asphalting operations. Asphalt contractors can use the software to visualize their operations, learn from the visualizations, and improve their processes continually.
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Dex
Data Visualization application written in JavaFX, Groovy, and HTML5.
Data Explorer, or Dex is a tool for exploring data. Dex is a JavaFX application which aims to provide a general purpose framework for data visualization. The basics are easy to learn, however Dex offers advanced capabilities in the form of SQL and groovy transformations. Dex integrates many excellent visualization frameworks into one consistent GUI package. This is an early release, so you are likely to find functional gaps for your particular problem space. In such cases, you are free to extend Dex to suit your needs. -
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Firefly UML
A free, easy-to-use and user-friendly Java-based UML editor.
...With class diagrams, sequence and instance diagrams, Firefly UML provides a solid selection from the vast range of existing UML diagram types. Firefly UML is really easy to learn as it provides you multiple ways of access to the same function - be it mouse action, hotkey, context menu or toolbar icon. And the best thing is: once you have learned how to handle one type of diagram, you also have learned how to deal with the other diagram types, because they all follow the exactly same user interaction patterns. ... -
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BeamFlow
A electric, magnetic, and gravity field physics presentation program
BeamFlow is a scientific presentation and demonstration program for typical introductory physics problems involving electric, magnetic, and gravity fields in three dimensions. Real-time demonstration of the magnetic field around a wire, the gravity fields around rotating binary stars, and the electric field from multiple point charges are just some of the potential applications. -
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The Optics Project on the Web (WebTOP) is a 3D, interactive computer graphics system that visualizes optical phenomena. Its purpose is to help instructors teach and students learn about optics. It is a platform independent Java application that uses X3D.
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geWiz X1L was a masters degree project to explore development of a baseline architecture for a game engine in C++. It contains a variety of ideas, but nothing that was fully finished. Not compilable; use only as a resource to learn how not to do things.
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BPMspace is open for extensions and free to use. BPMspace connects business processes with each other, similar to a relational database. Learn how to build/model a CMS and CMDB: http://www.mitsm.de/schulungen/spezial-schulungen/itil-cmdb-modellierung-und-konzeption
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UniGNUPlot -an easy program for persons who wants use all the power of GNUPlot, but have no time to learn how! -Graphic based on Tk/TCL...
