Search Results for "model"
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Showing 98 open source projects for "model"
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Laravel Translatable Package
A Laravel package for multilingual models
If you want to store translations of your models into the database, this package is for you. This is a Laravel package for translatable models. Its goal is to remove the complexity in retrieving and storing multilingual model instances. With this package you write less code, as the translations are being fetched/saved when you fetch/save your instance. -
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ktrain
ktrain is a Python library that makes deep learning AI more accessible
ktrain is a Python library that makes deep learning and AI more accessible and easier to apply. ktrain is a lightweight wrapper for the deep learning library TensorFlow Keras (and other libraries) to help build, train, and deploy neural networks and other machine learning models. Inspired by ML framework extensions like fastai and ludwig, ktrain is designed to make deep learning and AI more accessible and easier to apply for both newcomers and experienced practitioners. With only a few lines... -
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Selfie
An educational software system of a tiny self-compiling C compiler
An educational software system of a tiny self-compiling C compiler, a tiny self-executing RISC-V emulator, and a tiny self-hosting RISC-V hypervisor. Selfie is a project of the Computational Systems Group at the Department of Computer Sciences of the University of Salzburg in Austria. The Selfie Project provides an educational platform for teaching undergraduate and graduate students the design and implementation of programming languages and runtime systems. The focus is on the construction... -
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AllenNLP
An open-source NLP research library, built on PyTorch
AllenNLP makes it easy to design and evaluate new deep learning models for nearly any NLP problem, along with the infrastructure to easily run them in the cloud or on your laptop. AllenNLP includes reference implementations of high quality models for both core NLP problems (e.g. semantic role labeling) and NLP applications (e.g. textual entailment). AllenNLP supports loading "plugins" dynamically. A plugin is just a Python package that provides custom registered classes or additional... -
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TORCS, The Open Racing Car Simulator is a highly portable multi platform car racing simulation. It is used as ordinary car racing game, as AI racing game and as research platform. It runs on Linux (x86, AMD64 and PPC), FreeBSD, OpenSolaris and Windows.
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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... -
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PreviSat
Satellite tracking software
PreviSat is a satellite tracking software for observing purposes. Very easy to use, it shows positions of artificial satellites in real-time or manual mode. PreviSat is able to make predictions of their passes, predictions of MetOp and COSMO-SkyMed flares, transits of all satellites, predictions of Starlink satellites passes and several other calculations. -
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Virtual T is a TRS-80 Model 100/102/200 emulator that runs on Windows, Linux, and Macintosh. The goal of Virtual T is to provide 100% hardware emulation so any existing programs will run. It also adds powerful development and debugging tools.
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LPub3D
LDraw™ editor for LEGO® style digital building instructions.
LPub3D is an Open Source WYSIWYG editing application for creating LEGO® style digital building instructions. LPub3D is developed and maintained by Trevor SANDY. It uses the LDraw™ parts library, the most comprehensive library of digital Open Source LEGO® bricks available (www.ldraw.org/ ) and reads the LDraw LDR and MPD model file formats. LPub3D is available for free under the GNU Public License v3 and runs on Windows, Linux and macOS Operating Systems. LPub3D is also available... -
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K3DSurf (now MathMod) is a program to visualize and manipulate Mathematical models in three, four, five and six dimensions. K3DSurf supports Parametric equations and Isosurfaces. ****** Welcome to the realm of complex numbers! Change-log for MathMod-11.1 (16/06/2021) 1) Support of graphing functions with complex numbers Z=u+iv in 3D and 4D spaces (demo scripts: "Complex3D_xx" and "Complex4D_Saddle") 2) Added support for HSV (hue, saturation, brightness) coloring model (script...
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Biblatex is a LaTeX package which provides full-featured bibliographic facilities
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SPINA
Structure parameter inference approach for endocrine feedback control
SPINA is software for determining constant structure parameters of endocrine feedback control systems from hormone levels obtained in vivo. The first version of this cybernetic approach allows for evaluating the functional status of the thyroid gland, i.e. thyroid's secretory capacity (GT or SPINA-GT) and sum activity of peripheral deiodinases (GD or SPINA-GD). A second version has been developed for insulin-glucose homeostasis. It delivers the secretory capacity of pancreatic beta... -
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Project: Olympus
An Arduino-based Altitude and IMU Payload for Model Rocketry
Project: Olympus is an engineering project that utilizes an Arduino Nano microcontroller to create an electronic payload that records altitude, g-forces experienced by the rocket, as well as roll rate. Included with the code is a 132 page Project Manual that takes you through the design and construction of the electronic payload. It also includes sections on the construction of the Estes Olympus rocket. A detailed code review of each section of code is included. We take a detailed look... -
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SimulaBeta
A simulation program for insulin-glucose homeostasis.
SimulaBeta is a simulation program for insulin-glucose feedback control. It is based on a nonlinear MiMe-NoCoDI model. -
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Project: Icarus
A model rocketry project studying temperatures inside the body tube
Project: Icarus is a proof of concept model rocketry research project that brings several individual projects together into a single model rocketry research launch vehicle. This specific project includes an avionics payload, temperature sensors along the body, and a video camera. The sensors record the heat buildup inside the body tube as the solid rocket motor burns and fires the ejection charge. The sensors are placed in three different locations along the body tube to provide data... -
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Arduino Launch Control System (LCS)
A single rod model rocket launch control system using the Arduino Nano
This is a single rod model rocket launch control system. The system utilizes the Arduino Uno/Nano to report on local weather conditions (temperature, humidity, barometric pressure). The system also provides a 10-second countdown when the fire button is pressed. The system meets and exceeds the NAR Safety Code standard for model rocket launch systems as it incorporates a removable key to block the flow of power to the launch pad. It incorporates an additional two-button safety system... -
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VIMINAL
VIrtual Model for Ip Network Architecture Lab
VIMINAL (VIrtual Model for Ip Network Architecture Lab) platform is an autonomous network and system lab environment. Available on a liveDVD / liveUSB, it offers network models on which you have extended rights. It integrates all the materials needed to securely play system and IP network labs on common computers. The main goal is to play such labs, with no installation nor configuration modifications on your computer. -
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CoolingPower
Print Steam Tables; Plot diagrams and cycles from equations of state
... and, for Unix-based machines, from the terminal. Fluid state properties and Steam Tables can be printed to the screen or to file. Compiling and execution utilizes the GNU Scientific Library derivative functions and the Boost.signals2 and Boost.bind libraries. Unix-based operating systems also require the Boost program options library. The repository is structured as described in https://nvie.com/posts/a-successful-git-branching-model/ . -
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Interpretable machine learning
Book about interpretable machine learning
This book is about interpretable machine learning. Machine learning is being built into many products and processes of our daily lives, yet decisions made by machines don't automatically come with an explanation. An explanation increases the trust in the decision and in the machine learning model. As the programmer of an algorithm you want to know whether you can trust the learned model. Did it learn generalizable features? Or are there some odd artifacts in the training data which... -
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EduData
Datasets in Education and convenient interface for dataset
Datasets in Education and convenient interface for downloading and preprocessing dataset in education. The CLI tools to quickly convert the "raw" data of the dataset into "mature" data for knowledge tracing task. The "mature" data is in json sequence format and can be modeled by XKT and TKT(TBA) The analysis dataset tool only supports the json sequence format. To check the following statical indexes of the dataset. In order to better verify the effectiveness of the model, the dataset is usually... -
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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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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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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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Python/FEniCS Examples
phase-field simulation and other examples with Python/FEniCS
The main goal of this project was developing phase-field simulations of lithium dendrite growth with FEniCS programmed in Python. The problem was based in the grand potential-based model of Zijian Hong and Venkatasubramanian Viswanathan (https://doi.org/10.1021/acsenergylett.8b01009) . Some simpler examples were developed before for a first approach with FEniCS: heat equation and combustion model.