Search Results for "java open source" - Page 2
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Showing 233 open source projects for "java open source"
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Cloud tools for web scraping and data extractionAutomate web data collection with cloud tools that handle anti-bot measures, browser rendering, and data transformation out of the box. Extract content from any website, push to vector databases for RAG workflows, or pipe directly into your apps via API. Schedule runs, set up webhooks, and connect to your existing stack. Free tier available, then scale as you need to.
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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... -
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BEDS - Bed Evaluation & Design System
A system for designing and evaluating patient flow in hospitals.
BEDS evaluates patient flow in hospitals. Specifically, BEDS evaluates the occupancy of beds and the probability of receiving a bed on arrival to the hospital. BEDS is built on the assumption that patients arrive with a stationary intensity, and that the distribution governing their length-of-stay is also stationary. Thus, BEDS works only when modeling inpatient wards. BEDS further assumes a setup consisting of a number of patient types and wards. The wards contain a fixed capacity.... -
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Brain Tokyo Workshop
Experiments and code from Google Brain’s Tokyo research workshop
The Brain Tokyo Workshop repository hosts a collection of research materials and experimental code developed by the Google Brain team based in Tokyo. It showcases a variety of cutting-edge projects in artificial intelligence, particularly in the areas of neuroevolution, reinforcement learning, and model interpretability. Each project explores innovative approaches to learning, prediction, and creativity in neural networks, often through unconventional or biologically inspired methods. The... -
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Catalyst
Accelerated deep learning R&D
Catalyst is a PyTorch framework for accelerated Deep Learning research and development. It allows you to write compact but full-featured Deep Learning pipelines with just a few lines of code. With Catalyst you get a full set of features including a training loop with metrics, model checkpointing and more, all without the boilerplate. Catalyst is focused on reproducibility, rapid experimentation, and codebase reuse so you can break the cycle of writing another regular train loop and make... -
Total Network Visibility for Network Engineers and IT ManagersThis means every device on your network, and every interface on every device is automatically analyzed for performance, errors, QoS, and configuration.
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Key Store
Scriptural Keys Restoration - decoded universally symbolic language
The Key Store is a directory where users can find the symbolic meaning to a word as defined in Holy Scripture. These are often referred to as the keys of the Kingdom of Heaven. Much like a secret code, the directory exposes a universal dialect, all but nearly lost throughout the Dark Ages of time. Yet, fragments of this language remained until today such as, Father = Time and Mother = Nature. The database is expandable to grow as more entries and the sources are uncovered. -
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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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basicdoc
basic document auto creator
Basic document auto creator, can help author build document. -
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Extended Java WordNet Library
extJWNL is a Java library to handle dictionaries in WordNet format.
extJWNL (Extended Java WordNet Library) is a Java API for creating, reading and updating dictionaries in WordNet format. extJWNL is an upgraded version of JWNL. The library features support for creating, editing and writing dictionaries; dictionary encodings, including UTF-8; Java generics; huge dictionaries; instance dictionaries and static singletone dictionary; Maven and more. -
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AestheticsPro Medical Spa SoftwareAestheticsPro is the most complete Aesthetics Software on the market today. HIPAA Cloud Compliant with electronic charting, integrated POS, targeted marketing and results driven reporting; AestheticsPro delivers the tools you need to manage your medical spa business. It is our mission To Provide an All-in-One Cutting Edge Software to the Aesthetics Industry.
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covid19model
Code for modelling estimated deaths and cases for COVID19
Code for modeling estimated deaths and infections for COVID-19 from "Estimating the effects of non-pharmaceutical interventions on COVID-19 in Europe", Flaxman, Mishra, Gandy et al, Nature, 2020, the published version of our original Report 13. This is the release related to our Tiers paper, where we use the latent factor model to estimate the effectiveness of tiers systems in England. Peer-reviewed version is to be out soon. All other code is still the same for previous releases. The code... -
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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... -
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GMP Fortran library
Fortran binding for GMP library
Fortran binding for GMP library. Currently gfortran compiler supported on Linux and MS Windows (MinGW) platforms. Included Fortran program for solving Archimedes's cattle problem. -
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hubs-research-acm-chi-2021
Supplemental code and dataset for the ACM CHI 2021 paper
Supplemental code and dataset for the ACM CHI 2021 paper on "Proxemics and Social Interactions in an Instrumented Virtual Reality Workshop". In this research paper we instrumented Mozilla Hubs Cloud to record where participants where during the event. 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... -
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Ceka
Crowd Environment and its Knowledge Analysis
A knowledge analysis tool for crowdsourcing based on Weka. We also have a Python version of Crowdsourcing Learning: CrowdwiseKit on GitHub (https://github.com/tssai-lab/CrowdwiseKit). -
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GeoSolver
A Python library for solving geometric constraint problems
GeoSolver is a Python library for solving geometric constraint problems. A graphical testing and demostration application, the Geometric Constraint Workbench is included with the software. -
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wav2letter++
Facebook AI research's automatic speech recognition toolkit
First, install Flashlight (using the 0.3 branch is required) with the ASR application. This repository includes recipes to reproduce the following research papers as well as pre-trained models. All results reproduction must use Flashlight <= 0.3.2 for exact reproducibility. At least one of LZMA, BZip2, or Z is required for LM compression with KenLM. It is highly recommended to build KenLM with position-independent code (-fPIC) enabled, to enable python compatibility. After installing, run... -
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Java generic API for search algorithms on graphs implicitly given by tree node expansion operator
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COVID-19 Scenarios
Models of COVID-19 outbreak trajectories and hospital demand
Models of COVID-19 outbreak trajectories and hospital demand. This tool is based on the SIR model (see about page for details) that simulates a COVID19 outbreak. The population is initially mostly susceptible (other than for initial cases). Individuals that recover from COVID19 are subsequently immune. Currently, the parameters of the model are not fit data but are simply defaults. These might fit better for some localities than others. In particular, the initial case counts are often only... -
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RSSceSim
RSSceSim - Reputation System Scenario Simulator
RSSceSim is a simple and easy to extend simulation tool for reputation models that can be used for testing, comparing and benchmarking reputation system metrics under specific scenarios. -
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KINRED
Integrator for hardware and software
Kinred is an open source hardware and software integrator, created by professionals for professional students. -
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ModularBipolynom
Modular Polynom manipulation in Java
XY modular Polynom manipulation in Java for calculating elliptic curves point order -
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TeaCrypt-lib
Tiaray's Exposed Architecture library
Exposed architecture for integrity and confidentiality. Librairie en matière première pour la cybersécurité. -
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VulnX
Intelligent Bot, Shell can achieve automatic injection
vulnx, an intelligent Bot, Shell can achieve automatic injection, and help researchers detect security vulnerabilities in CMS systems. It can perform a quick CMS security detection, information collection (including sub-domain name, IP address, country information, organizational information and time zone, etc.), and vulnerability scanning. Vulnx is An Intelligent Bot Auto Shell Injector that detects vulnerabilities in multiple types of Cms, fast cms detection, information gathering, and... -
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NiftyNet
An open-source convolutional neural networks platform for research
An open-source convolutional neural networks platform for medical image analysis and image-guided therapy. NiftyNet is a TensorFlow-based open-source convolutional neural networks (CNNs) platform for research in medical image analysis and image-guided therapy. NiftyNet’s modular structure is designed for sharing networks and pre-trained models.
