Showing 9 open source projects for "libtogl.so.2"

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  • 1
    TensorFlow Model Garden

    TensorFlow Model Garden

    Models and examples built with TensorFlow

    ...To improve the transparency and reproducibility of our models, training logs on TensorBoard.dev are also provided for models to the extent possible though not all models are suitable. A flexible and lightweight library that users can easily use or fork when writing customized training loop code in TensorFlow 2.x. It seamlessly integrates with tf.distribute and supports running on different device types (CPU, GPU, and TPU).
    Downloads: 1 This Week
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  • 2
    AWS Deep Learning Containers

    AWS Deep Learning Containers

    A set of Docker images for training and serving models in TensorFlow

    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 Containers provide optimized environments with TensorFlow and MXNet, Nvidia CUDA (for GPU instances), and Intel MKL (for CPU instances) libraries and are available in the Amazon Elastic Container Registry (Amazon ECR). The AWS DLCs are used in Amazon SageMaker as the default vehicles for your SageMaker jobs such as training, inference, transforms etc. ...
    Downloads: 5 This Week
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  • 3
    MRA

    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.
    Downloads: 0 This Week
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  • 4
    A Python programming environment providing memory sizing, profiling and analysis, and a specification language that can formally specify aspects of Python programs and generate tests and documentation from a common source.
    Downloads: 0 This Week
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    The AI workplace management platform

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    By combining AI workflows, predictive intelligence, and automated insights, OfficeSpace gives leaders a complete view of how their spaces are used and how people work. Facilities, IT, HR, and Real Estate teams use OfficeSpace to optimize space utilization, enhance employee experience, and reduce portfolio costs with precision.
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  • 5
    Python vipera

    Python vipera

    vipera is an application designer for Python

    vipera is a designer of applications for the programming language Python. It has two main objectives: 1) The design of an application from an educative point of view, paying special attention to the documentation and design of classes. 2) The automatic generation of base code for software projects. vipera is a combination of basic tools for the design of applications in the early stages of development, allowing the creation of modules (libraries) and definition of their basic characteristics, such as classes, functions, records, constants and import modules. ...
    Downloads: 0 This Week
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  • 6
    Modelio-Open is a project hosting a set of open source extensions (SoaML, SysML and UML Testing Profile) for a previous version (1.2) of the Modelio Free tool . Currently, the lastest version (2.x) of Modelio modeling and generation tool is available at http://modelio.org/downloads/download-modelio.html. All extensions are downloadable at http://forge.modelio.org/projects.
    Downloads: 1 This Week
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  • 7
    The Location Containment Object Model(LCOM) is a simulation framework written in Python. LCOM provides a rule-based solution to handling partial object containment, object migration, message passing, and simulation observation.
    Downloads: 0 This Week
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  • 8
    Ocular is a spreadsheet written entirely in python. Cell contents are evaluated by python after any standard spreadsheet coordinates are parsed. This allows the full Monty from Python to be implemented in a visual environment.
    Downloads: 0 This Week
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  • 9
    Convert dia design to C++ files.
    Downloads: 0 This Week
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