Showing 8 open source projects for "compute"

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  • 1
    Blender GIS

    Blender GIS

    Blender addons to make the bridge between Blender and geographic data

    ...Display dynamics web maps inside Blender 3d view, requests for OpenStreetMap data (buildings, roads, etc.), get true elevation data from the NASA SRTM mission. Manage georeferencing information of a scene, compute a terrain mesh by Delaunay triangulation, drop objects on a terrain mesh, make terrain analysis using shader nodes, set up new cameras from geotagged photos, set up a camera to render with Blender a new georeferenced raster.
    Downloads: 138 This Week
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  • 2
    Librosa

    Librosa

    Python library for audio and music analysis

    Librosa is a powerful Python library for analyzing and processing audio and music signals. Built on top of NumPy, SciPy, and matplotlib, it provides a wide range of tools for feature extraction, time-series manipulation, audio display, and music information retrieval. Whether you're building machine learning models for audio classification or visualizing spectrograms, Librosa is a go-to library for researchers and developers working in audio signal processing.
    Downloads: 1 This Week
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  • 3
    NovaSR

    NovaSR

    A lightning fast audio upsampler

    ...NovaSR is especially valuable for post-processing tasks in speech enhancement, TTS pipelines, and dataset restoration where low sampling rates degrade perceived audio clarity; the minimal model size also makes it suitable for edge and embedded use cases where memory is at a premium. Its performance can reach thousands of times realtime on modern GPUs, allowing massive audio batches to be processed with negligible compute overhead.
    Downloads: 2 This Week
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  • 4
    PML

    PML

    The easiest way to use deep metric learning in your application

    This library contains 9 modules, each of which can be used independently within your existing codebase, or combined together for a complete train/test workflow. To compute the loss in your training loop, pass in the embeddings computed by your model, and the corresponding labels. The embeddings should have size (N, embedding_size), and the labels should have size (N), where N is the batch size. The TripletMarginLoss computes all possible triplets within the batch, based on the labels you pass into it. ...
    Downloads: 0 This Week
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  • 5
    Kornia

    Kornia

    Open Source Differentiable Computer Vision Library

    ...It consists of a set of routines and differentiable modules to solve generic computer vision problems. At its core, the package uses PyTorch as its main backend both for efficiency and to take advantage of the reverse-mode auto-differentiation to define and compute the gradient of complex functions. Inspired by existing packages, this library is composed by a subset of packages containing operators that can be inserted within neural networks to train models to perform image transformations, epipolar geometry, depth estimation, and low-level image processing such as filtering and edge detection that operate directly on tensors. ...
    Downloads: 0 This Week
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  • 6
    TimeSformer

    TimeSformer

    The official pytorch implementation of our paper

    ...TimeSformer was influential in showing that pure transformer architectures—without convolutional backbones—can perform strongly on video classification tasks. Its flexible attention design allows experimenting with different factoring (spatial-then-temporal, joint, etc.) to trade off compute, memory, and accuracy.
    Downloads: 0 This Week
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  • 7
    Video Nonlocal Net

    Video Nonlocal Net

    Non-local Neural Networks for Video Classification

    ...Efficient implementations keep memory and compute manageable so the blocks can be added without rewriting the entire backbone. The result is a practical, drop-in mechanism for upgrading purely local video models into context-aware networks with strong benchmark performance.
    Downloads: 0 This Week
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  • 8
    DR14 T.meter

    DR14 T.meter

    Compute the DR14 of a given audio file according to the procedure desc

    Introduction to DR14 T.meter DR14 T.meter is a free and opens source command line tool for computing the Dynamic Range of your music according to the procedure used in the off-line meter released by the Pleasurize Music Foundation. This tool is very useful to measure how is loud your music and for understanding that a good quality album always has also a good dynamic, and it's also useful for understanding the effects of the so called loudness war. Dr14 t.meter is released under the...
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    Downloads: 14 This Week
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