Search Results for "mingw-get-setup.exe"
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Showing 17 open source projects for "mingw-get-setup.exe"
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TensorFlow.js
TensorFlow.js is a library for machine learning in JavaScript
...Built on top of TensorFlow.js, the ml5.js library provides access to machine learning algorithms and models in the browser with a concise, approachable API. Comfortable with concepts like Tensors, Layers, Optimizers and Loss Functions (or willing to get comfortable with them)? TensorFlow.js provides flexible building blocks for neural network programming in JavaScript. -
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torchvision
Datasets, transforms and models specific to Computer Vision
The torchvision package consists of popular datasets, model architectures, and common image transformations for computer vision. We recommend Anaconda as Python package management system. Torchvision currently supports Pillow (default), Pillow-SIMD, which is a much faster drop-in replacement for Pillow with SIMD, if installed will be used as the default. Also, accimage, if installed can be activated by calling torchvision.set_image_backend('accimage'), libpng, which can be installed via... -
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SageMaker Training Toolkit
Train machine learning models within Docker containers
Train machine learning models within a Docker container using Amazon SageMaker. Amazon SageMaker is a fully managed service for data science and machine learning (ML) workflows. You can use Amazon SageMaker to simplify the process of building, training, and deploying ML models. To train a model, you can include your training script and dependencies in a Docker container that runs your training code. A container provides an effectively isolated environment, ensuring a consistent runtime and... -
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Adaptive Simulated Annealing (ASA)
simulated annealing optimization and importance-sampling
Adaptive Simulated Annealing (ASA) is a C-language code that finds the best global fit of a nonlinear cost-function over a D-dimensional space. ASA has over 100 OPTIONS to provide robust tuning over many classes of nonlinear stochastic systems. -
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Automatic Drawing Generation
A canvas library for generating technical drawings
The ADG library (Automatic Drawing Generation) is a set of functions focused on automating the drawing of mechanical parts. It is not a CAD system but a GObject-based library where a custom application can put common CAD entities such as paths, hatches and dimensions, to automatically create technical drawings. A demo application is provided in order to show the capabilities of the canvas. Although it is possible to interact with the library directly in C (that is what the adg-demo... -
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...Link: https://graphviz.org/ Report an error or suggest an improvement: https://bitbucket.org/rrrfer-admin/uchebnaia-sreda-proektirovaniia/issues?status=new&status=open Ask a question and get advice: https://github.com/topics/forum About PlantUML: https://plantuml.com/
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Jmr - Java Code Generator
"black technology" will improve development productivity by 1.5 to 5
...Normal code generator flow: Template → Source Code Jmr development automation flow: Template/Model/Action → Task → Source Code/Test Case/Document Template: Support Java Script(<%%> JSP-like) and Jmr Tag(set/get/for...) Model: Database Model(like Table/View), Java POJO Model, Xml File Model and includes Transform/Mapping/Convert Tool Action: A Java Class can set Java variables to template. Support any kind of project Maven, Gradle, Web, Java, Android, PHP, Python etc. Support any kind of framework spring/springMVC, hibernate, ibatis/mybatis, struts/struts2, JPA etc. ... -
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Image classification models for Keras
Keras code and weights files for popular deep learning models
All architectures are compatible with both TensorFlow and Theano, and upon instantiation the models will be built according to the image dimension ordering set in your Keras configuration file at ~/.keras/keras.json. For instance, if you have set image_dim_ordering=tf, then any model loaded from this repository will get built according to the TensorFlow dimension ordering convention, "Width-Height-Depth". Pre-trained weights can be automatically loaded upon instantiation (weights='imagenet' argument in model constructor for all image models, weights='msd' for the music tagging model). Weights are automatically downloaded if necessary, and cached locally in ~/.keras/models/. ... -
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instantFSM
C++ inline state machine library
...Its goal is to make state machine declaration and use easy enough that it can be integrated into your projects painlessly. Have a look atp the wiki where you will find a tutorial, samples, and a cheatsheet to get accustomed with instantFSM. The only instantFSM header file is downloadable from the files section or you can check it out from the git repository. -
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MRA
A general recommender system with basic models and MRA
Multi-categorization Recommendation Adjusting (MRA) is to optimize the results of recommendation based on traditional(basic) recommendation models, through introducing objective category information and taking use of the feature that users always get the habits of preferring certain categories. Besides this, there are two advantages of this improved model: 1) it can be easily applied to any kind of existing recommendation models. And 2) a controller is set in this improved model to provide controllable adjustment range, which thereby makes it possible to provide optional modes of recommendation aiming different kinds of users. -
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SPSens
Stochastic parameter sensitivity analysis for chemical networks
SPSens is a complete software package written in C that estimates parameter sensitivities for stochastic models of chemical and biochemical reaction networks using Monte Carlo (MC) stochastic simulations. It is possible to estimate sensitivities with respect to system parameters using the following algorithms: finite difference methods (crude monte carlo, common reaction path, coupled finite differences); likelihood ratio methods; and regularized pathwise derivatives. Additionally the... -
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Jact is a tool to provide severval ways of configurating the Asterisk PBX. It's base upon UML2 models of the configuration files. The goal is to get a functional description of all configuration elements around the Asterisk.
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redVoodo uses Vaadin + OSGI and provides informations, HowTo's and also a framework to design und develop dynamic and modular business web applications. You'll get best practices HowTo use Vaadin and OSGI together.
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XISL (XML based scripting of Implicit Surfaces) package (written in C++) assists developers in construction of arbitrary implicit models. Each implicit function class (a primitive, an operation, etc.) is deffined by its appropriate XISL tag(s).
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Fiona is a tool to automatically analyze the interactional behavior of a given oWFN. It provides two techniques: it checks for the controllability of the given net by computing the interactiong graph and it calculates the operating guideline for the net.
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Java objects that share parts of immutable graphs. Reused subgraphs have directly or indirectly recursive Elements. Selected components get replaced by new counterparts in Context of Mirrors - translation tables. Deep copies are not involved.
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A graphical interface programming system allowing the visualization of code and capability to generate threaded code. The user constructs code segments using visual boxes. The program flow is represented as links between the boxes.
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