Showing 12 open source projects for "network visualization"

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  • 1
    Penzai

    Penzai

    A JAX research toolkit to build, edit, & visualize neural networks

    Penzai, developed by Google DeepMind, is a JAX-based library for representing, visualizing, and manipulating neural network models as functional pytree data structures. It is designed to make machine learning research more interpretable and interactive, particularly for tasks like model surgery, ablation studies, architecture debugging, and interpretability research. Unlike conventional neural network libraries, Penzai exposes the full internal structure of models, enabling fine-grained...
    Downloads: 0 This Week
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  • 2
    PyTorch Lightning

    PyTorch Lightning

    The lightweight PyTorch wrapper for high-performance AI research

    ...PyTorch Lightning can easily be applied for any use case. With just a quick refactor you can run your code on any hardware, run distributed training, perform logging, metrics, visualization and so much more!
    Downloads: 0 This Week
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  • 3
    WinPython

    WinPython

    Portable Scientific Python 2/3 32/64bit Distribution for Windows

    WinPython is a free open-source portable distribution of the Python programming language for Windows XP/7/8, designed for scientists, supporting both 32bit and 64bit versions of Python 2 and Python 3. Since September 2014, Developpement has moved to https://winpython.github.io/
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    Downloads: 3,104 This Week
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  • 4
    Neural Network Visualization

    Neural Network Visualization

    Project for processing neural networks and rendering to gain insights

    nn_vis is a minimalist visualization tool for neural networks written in Python using OpenGL and Pygame. It provides an interactive, graphical representation of how data flows through neural network layers, offering a unique educational experience for those new to deep learning or looking to explain it visually. By animating input, weights, activations, and outputs, the tool demystifies neural network operations and helps users intuitively grasp complex concepts. ...
    Downloads: 2 This Week
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  • 5
    TensorNetwork

    TensorNetwork

    A library for easy and efficient manipulation of tensor networks

    ...Tutorials and visualization helpers make it easier to understand how network topology affects expressive power and computational cost.
    Downloads: 1 This Week
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  • 6
    TFLearn

    TFLearn

    Deep learning library featuring a higher-level API for TensorFlow

    ...Easy-to-use and understand high-level API for implementing deep neural networks, with tutorials and examples. Fast prototyping through highly modular built-in neural network layers, regularizers, optimizers, and metrics. Full transparency over Tensorflow. All functions are built over tensors and can be used independently of TFLearn. Powerful helper functions to train any TensorFlow graph, with support of multiple inputs, outputs, and optimizers. Easy and beautiful graph visualization, with details about weights, gradients, activations, and more. ...
    Downloads: 0 This Week
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  • 7
    MMdnn

    MMdnn

    Tools to help users inter-operate among deep learning frameworks

    MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML. MMdnn is a comprehensive and cross-framework tool to convert, visualize and diagnose deep learning (DL) models. The "MM" stands for model management, and "dnn" is the acronym of deep neural network. We implement a universal converter to convert DL models between frameworks, which means you can train a model with one framework and deploy it with another. ...
    Downloads: 0 This Week
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  • 8
    Olex2 is visualisation software for small-molecule crystallography developed at Durham University/EPSRC. It provides comprehensive tools for crystallographic model manipulation for the end user and an extensible development framework for programmers. The project has been supported by Olexsys Ltd since 2010.
    Downloads: 0 This Week
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  • 9
    captcha_break

    captcha_break

    Identification codes

    This project will use Keras to build a deep convolutional neural network to identify the captcha verification code. It is recommended to use a graphics card to run the project. The following visualization codes are jupyter notebookall done in . If you want to write a python script, you can run it normally with a little modification. Of course, you can also remove these visualization codes. captcha is a library written in python to generate verification codes. ...
    Downloads: 1 This Week
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  • 10
    Analysis tools for scale test data generated by The Grinder.
    Downloads: 0 This Week
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  • 11
    Karesansui is an open-source virtualization management application made in Japan. It's smart graphical user interface lowers your management cost, and brings a total management/audit solution for both physical and virtual servers. Full featured RESTful interface allows customizing and integration with other management/billing systems.
    Downloads: 0 This Week
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  • 12
    SenseRank Sys: - builds the dictionaries (multidim matrices) of words’ values; - for the set utterance in certain language builds a figure in multidimensional space (in the matrix space) of values (visual schema), which is topological view of sense
    Downloads: 0 This Week
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