Search Results for "dv-work"
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Showing 22 open source projects for "dv-work"
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nanoGPT
The simplest, fastest repository for training/finetuning models
...While simple, it can still train non-trivial models on modern GPUs and generate coherent text. The project has become widely used in tutorials, courses, and experiments for people learning how transformers work under the hood. -
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Open Source Vizier
Python-based research interface for blackbox
Open Source (OSS) Vizier is a Python-based interface for blackbox optimization and research, based on Google’s original internal Vizier, one of the first hyperparameter tuning services designed to work at scale. Allows a user to setup an OSS Vizier Server, which can host black-box optimization algorithms to serve multiple clients simultaneously in a fault-tolerant manner to tune their objective functions. Defines abstractions and utilities for implementing new optimization algorithms for research and to be hosted in the service. ... -
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Multivariate Forex Calculus Robot
MQL4, MQL5, C++ Expert Advisor, Forex Calculus Robot.
...When done, Robots work at runtime and can be properly modified Lot Size. -
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moebinv
C++ libraries for manipulations in non-Euclidean geometry
...Both libraries are based on the Clifford algebra capacities of the GiNaC computer algebra system (http://ginac.de). Besides C++ libraries there is a Python wrapper, which can be used in interactive mode (https://codeocean.com/capsule/7952650/). Both libraries work in arbitrary dimensions and signatures of metric. Additionally, there are some 2D/3D-specific routines including a visualisation to PostScript files through Asymptote (http://asymptote.sourcefourge.net) software. The source is written in literate programming NoWeb. -
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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. It includes unified implementations of data interfaces, common algorithms, and evaluation metrics for several advanced tasks. ... -
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JuMarker
Creation and Detection of Customized Fiducial Markers
...However, their industrial appearance deters their use in scenarios where an attractive and visually appealing look is required. In these cases, it would be preferable to use customized markers showing, for instance, a company logo. This work proposes a novel method to design, detect, and track customizable fiducial markers. Our work allows creating markers templates imposing few restrictions on its design, e.g., a company logo or a picture can be used. The designer must indicate positions into the template where bits will encode a unique identifier for each marker. Then, our method will automatically create a dictionary of markers, all following the same design, but each with a unique identifier. -
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Awesome Portfolio Websites
Personal portfolio for researchers, developers, and analysts
A community-maintained open-source project aimed at making a personal portfolio for researchers, developers and analysts. Simple, fast and less cumbersome. We make sure you have a full-fledged website to showcase your work while you can spend time on your learning and innovative endeavors. -
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Lucid
A collection of infrastructure and tools for research
Lucid is a collection of infrastructure and tools for research in neural network interpretability. Lucid is research code, not production code. We provide no guarantee it will work for your use case. Lucid is maintained by volunteers who are unable to provide significant technical support. Start visualizing neural networks with no setup. The following notebooks run right from your browser, thanks to Collaboratory. It's a Jupyter notebook environment that requires no setup to use and runs entirely in the cloud. ... -
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hubs-research-acm-chi-2021
Supplemental code and dataset for the ACM CHI 2021 paper
...From there, we measured proxemic and plotted the activity along with some semi-structured interviews. Virtual environments (VEs) can create collaborative and social spaces, which are increasingly important in the face of remote work and travel reduction. Recent advances, such as more open and widely available platforms, create new possibilities to observe and analyze interaction in VEs. Using a custom instrumented build of Mozilla Hubs to measure position and orientation, we conducted an academic workshop to facilitate a range of typical workshop activities. ... -
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Data Science at the Command Line
Data science at the command line
...You’ll learn how to combine small yet powerful command-line tools to quickly obtain, scrub, explore, and model your data. To get you started, author Jeroen Janssens provides a Docker image packed with over 100 Unix power tools, useful whether you work with Windows, macOS, or Linux. You’ll quickly discover why the command line is an agile, scalable, and extensible technology. 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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Enquire Within
A tool for the application of the repertory grid interview
The repertory grid interviewing technique was developed as a way to systematically examine how individuals or groups perceive knowledge, their problems, organisation, service provision, etc while avoiding interviewer distortions. Enquire Within provides a clear structure for the process, leading the interviewer through the steps and disciplines required to set up a successful interview and then prompts the interviewer with carefully constructed questions to facilitate comparing and... -
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Bibliograph
Open Source Online Bibliographic Data Management
Bibliograph is a powerful and intuitive open source web application for the collaborative collection, editing and publishing of bibliographic data such as a bibliographies, small library collections or shared research data. It features a modern user interface similar to a desktop application. -
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Oryon C Portable (moved)
Open Source Intelligence Framework
...Oryon comes with dozens of pre-installed tools and a select set of links cataloged by category – including those that can be found in the OI Shared Resources. ▪ Based on SRWare Iron version 31.0.1700.0 (Chromium) ▪ More than 70 pre-installed tools to support investigators in their everyday work ▪ More than 600 links to specialized sources of information and online investigative tools ▪ Additional privacy protection features ▪ A ready to use opml file containing a sorted collection of information sources in the fields such as: OSINT, Intelligence, online research, InfoSec, defense, and more. -
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RTSim is a simulator for real-time systems written in C++. It has been developed as an internal project at Scuola Superiore Sant'Anna as part of many research project, mainly thanks to the work of many PhD students.
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GraphEA
A 3D Graphical Framework for Exploring Evolutionary Algorithms
Perfect to explore in the classroom: * Choose different problems, for different representations * Choose different genetic operators * Configure parameters * Visualization of the results on-line * Stop, pause or resume the evolutionary process * Explore how the genetic operators work * Save the results for future analysis -
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Various tools for creating annotated parallel corpora including pre-trained tagging and parsing models for various languages, sentence alignment tools and word alignment tools. Uplug also includes a web-based interface for interactive sentence and word alignment and scripts for indexing and querying parallel corpora using the Corpus Work Bench CWB. Download 'uplug-main' first and then add other packages.
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Grapple
GRAPPLE-Generic Responsive Adaptive Personalized Learning Environment
...The GRAPPLE project aims at delivering to learners a technology-enhanced learning (TEL) environment that guides them through a life-long learning experience, automatically adapting to personal preferences, prior knowledge, skills and competences, learning goals and the personal or social context in which the learning takes place. The same TEL environment can be used/accessed at home, school, work or on the move (using mobile/handheld devices). GRAPPLE includes authoring tools that enable educators to provide adaptive learning material to the learners, including adaptive interactive components (visualizations, simulations, virtual reality). Authoring includes creating or importing content, assigning or extracting meaning from that content, designing learning activities and defining pedagogical properties of and adaptation strategies for the content and activities. -
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Pamvotis is a Wireless LAN Simulator for all the current physical layer extentions of the IEEE 802.11 (IEEE 802.11 a/b/g) standard and for the IEEE 802.11e Draft for Quality of Service in WLANs.
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This is a Content Based Image Retrieval Interface with only color features implemented. This is part of a thesis work to analyze the different color features and observe the performance on mainly corel5k images.
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BLEU (Body Language Effect on Users)
Body Language Effect on Users
...I wrote it over three years ago, and wrote it in quite a hurry when I did. If you compare this stuff with my GPE code, its like night and day. Well, hopefully somebody learning to work with OGRE or to program in C++, might find it useful -
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Neural objectz is a java code (no executable) that uses (a lot) of neurons that work more object oriented then the classical mathematical neural networks who use mathematical functions to calculate their output out of input.
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libstigg is a library to work with simple though intuitive generic graphs. It is written in Vala/Genie and thus compiles to a standard-linkable GObject library with headers to include from C.
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