Search Results for "level set methods"
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Showing 15 open source projects for "level set methods"
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Reinforcement Learning Course Materials
Lecture notes, tutorial tasks including solutions
Lecture notes, tutorial tasks including solutions as well as online videos for the reinforcement learning course hosted by Paderborn University. The source code for the entire course material is open and everyone is cordially invited to use it for self-learning (students) or to set up their own course (lecturers). -
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Preguntas de entrevista para React
Questions about React for job interviews
...It also includes JavaScript fundamentals that are essential for React, like array methods, optional chaining, arrow functions, and module syntax, so learners can strengthen their base while studying React itself. -
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REKCARC-TSC-UHT
Guidance for courses in Department of Computer Science and Technology
...The project stresses responsible use—learn from the material, don’t plagiarize—and continually evolves through community review. As a living handbook, it captures institutional knowledge that helps level the playing field for students with different backgrounds. -
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Onda Sfasata
An authentic Italian learning app.
...GitHub repository: https://github.com/Northstrix/onda-sfasata Check it out at: https://onda-sfasata.netlify.app/ This app is fully localized into English, Hebrew, and two dialects of German — Hochdeutsch and a mixture of Zurich and Basel dialects (approximately 64%–36%), labeled as “Schwiizerdütsch” I picked the words for this app not based on predefined categories, usage frequency, or the fluency level to which the word might correspond, but on which words could be cleanly cut from the audio tracks. As a result, the word set turned out to be a bit odd, yet unique. Every single sound used in the app, except for success.wav, error.wav, and completed.wav, was extracted from public domain recordings. The success and error sounds are covered by Attribution 4.0 License (https://creativecommons.org/licenses/by/4.0/), the completed sound is available under Creative Commons 0 License (http://creativecommons.org/publicdomain/zero/1.0/) -
Build Securely on AWS with Proven FrameworksMoving to the cloud brings new challenges. How can you manage a larger attack surface while ensuring great network performance? Turn to Fortinet’s Tested Reference Architectures, blueprints for designing and securing cloud environments built by cybersecurity experts. Learn more and explore use cases in this white paper.
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Quiz/Survey/Test - QST
A Free, complete, open source universal assessment/exam platform
QST, the worlds unparalleled open source, multi-tenant, online/lan assessment software. From a quick quiz on your phone to very large scale, high stakes, proctored desktop testing, we make it easy/secure/economical. Our intuitive design contains features (Immediate detailed results, Create/Export/Import/Convert Questions, WYSIWYG/Visual Math-Chemistry Editors, Question/Item Bank, Multiple Question Types, Multiple Delivery Styles, Multiple Delivery/Results Options, Adaptive/Branching... -
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The Sourdough Framework
Make the best possible sourdough bread at home
The Sourdough Framework is an open, experiment-driven handbook that explains sourdough baking as a system rather than a set of isolated recipes. It breaks breadmaking into measurable variables—starter strength, flour characteristics, hydration, temperature, salt, timing—and shows how each affects dough behavior and flavor. The text leans on baker’s percentages and dough temperature targets to help you plan, troubleshoot, and reproduce results across seasons and kitchens. You’ll find... -
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DIG
A library for graph deep learning research
The key difference with current graph deep learning libraries, such as PyTorch Geometric (PyG) and Deep Graph Library (DGL), is that, while PyG and DGL support basic graph deep learning operations, DIG provides a unified testbed for higher level, research-oriented graph deep learning tasks, such as graph generation, self-supervised learning, explainability, 3D graphs, and graph out-of-distribution. If you are working or plan to work on research in graph deep learning, DIG enables you to develop your own methods within our extensible framework, and compare with current baseline methods using common datasets and evaluation metrics without extra efforts. ... -
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Automated_Quiz
A Shell Script for Quizzing the whole class of students and log result
Please download the above zip file and extract it to a secret folder and run the quiz.sh script from that folder in your terminal program, as shown in the youtube videos : https://youtu.be/kQi0XlIaT9M and https://youtu.be/prwKN5DiFp0 You may change the contents of the quiz.txt file to your liking, while maintaining the format of it. Note: Press Enter/Return key after typing on your Terminal, to proceed to the next step, while testing the quiz.sh script. Also, increase the terminal... -
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Education Ellie
Learning software for children and autistic
What is? Students with learning difficulties or mental disabilities have knowledge level and teaching methods similar to students in the first cycle of basic education. This software aims to help in the learning of these pupils and students of primary. Why Ellie? Ellie name comes from the software mascot is an owl (symbol of knowledge) red, interacting with people and help using software. Authors and Contributors Originally the software was developed by Pedro Luzio @pedroluzio, Programming student in Portugal Support or Contact Having trouble with software? ... -
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Bat2015
Bachelor of Science (Informatik)
...We create a distributed system with Apache thrift and the C-API of glpk. Now, it is possible to use as many cores in a network as you want. With a focus on the MILP methods we implement a load balancing and speed up the solving process in a multiplicative way. Sometimes we have super-linear speedup with a small set of hardware. With a splitting of problems, parallel computing and distributing the actual best solution to all running processes we solve CBP much faster than a sequential processing can do. -
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ShiVaSmiles
A slick interface to see various scale analysis algorithms in action.
The Shape Visualizer is intented to be an exploratory/educational tool making it quick and easy to see how various mathematical methods perform in analysing and selecting the various patterns present on an image. The main website is built as a wiki gathering info and examples on the various implemented algorithms. The combination of the application and its wiki intend to constitute a nice little pedagogic toolkit for multiscale analysis. Feel free to contribute code or wiki content ! -
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GRaPe - a platform-independent software tool for building integrative gene-reaction-protein (GRP) networks. It generates the kinetic equations for each reaction and outputs a SBML document. It also implements two methods for parameter estimation.
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Automatic grading and reporting of student submitted Java projects through a set of utilities including checking for the presence of classes/methods, instantiation/execution of methods in the submission, and reviewing source code.
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JTestCase uses XML file to organize multi-testcase data and asserting conditions (action and expected result), and provides a set of easy-to-use methods to retrieve test cases out from XML, and asserts results against those expected ones in data file.
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Numerikus is an attempt to build a set of numerical libraries written in C/C++, Fortran, Java and C# for single processor and multi-core processors. It wil have from basic functions to Linear Algebra solvers and ODE's and PDE's methods.
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