Search Results for "shader model 2.0)"
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Showing 438 open source projects for "shader model 2.0)"
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Swagger 2.0
Swagger 2.0 implementation for go
... companies like Apigee, Getty Images, Intuit, LivingSocial, McKesson, Microsoft, Morningstar, and PayPal build the best possible services with RESTful APIs. Now in version 2.0, Swagger is more enabling than ever. And it's 100% open-source software. go-swagger brings to the go community a complete suite of fully-featured, high-performance, API components to work with a Swagger API, server, client, and data model. -
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AWS Serverless Application Model
An open-source framework for building serverless applications
The AWS Serverless Application Model (SAM) is an open-source framework for building serverless applications. It provides shorthand syntax to express functions, APIs, databases, and event source mappings. With just a few lines per resource, you can define the application you want and model it using YAML. During deployment, SAM transforms and expands the SAM syntax into AWS CloudFormation syntax, enabling you to build serverless applications faster. To get started with building SAM-based... -
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VulkanSceneGraph
Vulkan & C++17 based Scene Graph Project
VulkanSceneGraph (VSG), is a modern, cross-platform, high-performance scene graph library built upon Vulkan graphics/compute API. The software is written in C++17 and follows the CppCoreGuidelines and FOSS Best Practices. The source code is published under the MIT License, with the exception of vulkan.h, used for Vulkan extensions, which is under Apache License 2.0. This repository contains C++ headers and source and CMake build scripts to build the libvsg library. Additional support libraries... -
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Alphafold
Open source code for AlphaFold
This package provides an implementation of the inference pipeline of AlphaFold v2.0. This is a completely new model that was entered in CASP14 and published in Nature. For simplicity, we refer to this model as AlphaFold throughout the rest of this document. Any publication that discloses findings arising from using this source code or the model parameters should cite the AlphaFold paper. Please also refer to the Supplementary Information for a detailed description of the method. You can use... -
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glslViewer
Console-based GLSL Sandbox for 2D/3D shaders shaders
GlslViewer is a flexible console-based OpenGL Sandbox to display 2D/3D GLSL shaders without the need of a UI. You can definitely make your own UI or wrapper using the Python Module (include) or any other tool that communicates back/forth with the GPS viewer through the standard POSIX console In/Out or OSC. Default vert/frag shaders for 2D shader and 3D material shaders with PBR lighting model. Hot reload of files on changes. One default light and one default camera. Interactive commands thought... -
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StereoKit
An easy-to-use mixed reality library for building VR applications
StereoKit is an easy-to-use open source mixed reality library for building HoloLens and VR applications with C# and OpenXR! Inspired by libraries like XNA and Processing, StereoKit is meant to be fun to use and easy to develop with, yet still quite capable of creating professional and business-ready software. HoloLens 2, Oculus Quest, Windows Mixed Reality, Oculus Desktop, SteamVR, Monado (Linux), and eventually everywhere OpenXR is! Flat screen MR simulator with input emulation for easy... -
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SageMaker TensorFlow Training Toolkit
Toolkit for running TensorFlow training scripts on SageMaker
Toolkit for running TensorFlow training scripts on SageMaker. SageMaker TensorFlow Training Toolkit is an open-source library for using TensorFlow to train models on Amazon SageMaker. To use your TensorFlow Serving model on SageMaker, you first need to create a SageMaker Model. After creating a SageMaker Model, you can use it to create SageMaker Batch Transform Jobs for offline inference, or create SageMaker Endpoints for real-time inference. A SageMaker Model contains references... -
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Django Lifecycle Hooks
Declarative model lifecycle hooks, an alternative to Signals
This project provides a @hook decorator as well as a base model and mixin to add lifecycle hooks to your Django models. Django's built-in approach to offering lifecycle hooks is Signals. However, my team often finds that Signals introduce unnecessary indirection and are at odds with Django's "fat models" approach. Django Lifecycle Hooks supports Python 3.7, 3.8 and 3.9, Django 2.0.x, 2.1.x, 2.2.x, 3.0.x, 3.1.x, and 3.2.x. For simple cases, you might always want something to happen at a certain... -
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SageMaker Hugging Face Inference Toolkit
Library for serving Transformers models on Amazon SageMaker
SageMaker Hugging Face Inference Toolkit is an open-source library for serving Transformers models on Amazon SageMaker. This library provides default pre-processing, predict and postprocessing for certain Transformers models and tasks. It utilizes the SageMaker Inference Toolkit for starting up the model server, which is responsible for handling inference requests. For the Dockerfiles used for building SageMaker Hugging Face Containers, see AWS Deep Learning Containers. The SageMaker Hugging... -
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Mistral Inference
Official inference library for Mistral models
Open and portable generative AI for devs and businesses. We release open-weight models for everyone to customize and deploy where they want it. Our super-efficient model Mistral Nemo is available under Apache 2.0, while Mistral Large 2 is available through both a free non-commercial license, and a commercial license. -
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Tribuo
Tribuo - A Java machine learning library
Tribuo* is a machine learning library written in Java. It provides tools for classification, regression, clustering, model development, and more. It provides a unified interface to many popular third-party ML libraries like xgboost and liblinear. With interfaces to native code, Tribuo also makes it possible to deploy models trained by Python libraries (e.g. scikit-learn, and pytorch) in a Java program. Tribuo is licensed under Apache 2.0. Remove the uncertainty around exactly which artifacts... -
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Opacus
Training PyTorch models with differential privacy
..., modular API for differential privacy research. Everyone is welcome to contribute. ML practitioners will find this to be a gentle introduction to training a model with differential privacy as it requires minimal code changes. Differential Privacy researchers will find this easy to experiment and tinker with, allowing them to focus on what matters. -
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drf-yasg
Automated generation of real Swagger/OpenAPI 2.0 schemas
... a look at drf-spectacular, which is an actively maintained new library that shares most of the goals of this project, while working with OpenAPI 3.0 schemas. OpenAPI 3.0 provides a lot more flexibility than 2.0 in the types of API that can be described. drf-yasg is unlikely to soon, if ever, get support for OpenAPI 3.0. -
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MySQL Operator
Asynchronous MySQL Replication on Kubernetes using Percona Server
MySQL Operator enables bulletproof MySQL on Kubernetes. It manages all the necessary resources for deploying and managing a highly available MySQL cluster. It provides effortless backups, while keeping the cluster highly available. If the operator has helped you out with your projects, please consider sponsoring it to speed up the development. Issues are answered in this repo on a best-effort basis. For paid commercial support, deployment, integration and prioritizing of features, please... -
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YData Synthetic
Synthetic data generators for tabular and time-series data
.... It consists a set of different GANs architectures developed using Tensorflow 2.0. Several example Jupyter Notebooks and Python scripts are included, to show how to use the different architectures. YData synthetic has now a UI interface to guide you through the steps and inputs to generate structure tabular data. The streamlit app is available form v1.0.0 onwards. -
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SageMaker MXNet Inference Toolkit
Toolkit for allowing inference and serving with MXNet in SageMaker
SageMaker MXNet Inference Toolkit is an open-source library for serving MXNet models on Amazon SageMaker. This library provides default pre-processing, predict and postprocessing for certain MXNet model types and utilizes the SageMaker Inference Toolkit for starting up the model server, which is responsible for handling inference requests. AWS Deep Learning Containers (DLCs) are a set of Docker images for training and serving models in TensorFlow, TensorFlow 2, PyTorch, and MXNet. Deep Learning... -
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Admidio
Manage your organization online
Admidio is a free open source user management system for websites of organizations and groups. The system has a flexible role model so that it’s possible to reflect the structure and permissions of your organization. You can create an individual profile for your members by adding or removing fields. Additional to these functions the system contains several modules like member lists, event manager, guestbook, photo album or download area. -
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JBizMo
Powerful generator for Java applications (JPA, Java EE...)
JBizMo supports building of Angular, Eclipse RCP/RAP, JavaFX, JSF (Primefaces), Swing and Vaadin applications. The generated applications can run in a stand-alone mode or they can be deployed on a Java EE server (Wildfly 16, Payara 5). Alternatively, the Spring platform is also supported! JBizMo applications use JPA in order to access the target database. The plug-in contains a graphical editor for designing the domain model. -
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NanoH5 (tsl2nano)
java bean / database driven zero code application framework
NanoH5 (or FullRelation) is a fullstack UI implementation framework providing a model driven design (MDA). Build a complete html5 application through a given class- or database-model without coding (coding APIs are available). -
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Work Case Toolkit 0.4 beta 1
Support variant based Java program execution, adapted to support MDE.
Work Case Toolkit is a tool that provides variant based program's execution. Our main goal is to define an API that we can use embedded into any Java application to support dynamic execution based on variant flows. The variants are controlled by a graph decision using features diagrams relationships. The project was originally planned in 2005 to support Model Driven Architecture OMG approach, focusing specially on the management of architectural changes and models transformers. The main goal... -
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Framework that aims to get high productivity in enterprise software development. It uses a layer application division model, implementing some design patterns. It also allows the development of n-tier applications with data access technology independ
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TRUNKS
Web and Mobile framework
TRUNKS is a web J2EE framework. It's dedicated to develop all kinds of applications in a basic way. Used technologies are based on a MVC model, XML for screen definition. Are included navigation, multilanguage, security, CSS styles, data export... -
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odaba
ODABA is an terminology-oriented database management system and develo
ODABA is an terminology-oriented database management system (TODBMS) on a high conceptual level. It provides a number of enhanced features based on natural language analysis. Terminology orientation allows designing user oriented data models. Enhanced event model and Active Data Link technology support rapid development of GUI applications. Several development, documentation, test and analyzing tools are provided in order to support developers and administrators. .NET interface... -
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wCMF
The wCMF web application framework
wCMF is a lightweight MDA approach to application development based on the MVC pattern. It allows to create any kind of PHP webapp, e.g. CRM, CMS from an UML model. It features an object persistence layer, a soap interface and standard views/controllers. This website hosts code and downloads for versions prior to 4.0. For newer versions please visit https://github.com/iherwig/wcmf. -
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Competent Audio
Machine graph audio engine for computer games
Competent Audio (CA) is an audio engine suitable for video games. It is written in C, but is designed for interoperability with other languages. Windows and Linux binaries for x86 and amd64 are available. CA uses a machine graph model with support for arbitrary numbers of machines, limited only by the available system resources: - Samplers play back audio clips. - Mixers combine audio signals and optionally perform signal processing. - Sinks send audio signals to an output device...