Showing 80 open source projects for "convolution"

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  • 1
    MNN

    MNN

    MNN is a blazing fast, lightweight deep learning framework

    MNN is a highly efficient and lightweight deep learning framework. It supports inference and training of deep learning models, and has industry leading performance for inference and training on-device. At present, MNN has been integrated in more than 20 apps of Alibaba Inc, such as Taobao, Tmall, Youku, Dingtalk, Xianyu and etc., covering more than 70 usage scenarios such as live broadcast, short video capture, search recommendation, product searching by image, interactive marketing, equity...
    Downloads: 5 This Week
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  • 2
    Make-A-Video - Pytorch (wip)

    Make-A-Video - Pytorch (wip)

    Implementation of Make-A-Video, new SOTA text to video generator

    ... points would easily apply to Imagen), make a few minor modifications for attention across time and other ways to skimp on the compute cost, do frame interpolation correctly, get a great video model out. Passing in images (if one were to pretrain on images first), both temporal convolution and attention will be automatically skipped. In other words, you can use this straightforwardly in your 2d Unet and then port it over to a 3d Unet once that phase of the training is done.
    Downloads: 3 This Week
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  • 3
    libvips

    libvips

    A fast image processing library with low memory needs

    libvips is a demand-driven, horizontally threaded image processing library. Compared to similar libraries, libvips runs quickly and uses little memory. libvips is licensed under the LGPL 2.1+. It has around 300 operations covering arithmetic, histograms, convolution, morphological operations, frequency filtering, colour, resampling, statistics and others. It supports a large range of numeric types, from 8-bit int to 128-bit complex. Images can have any number of bands. It supports a good range...
    Downloads: 4 This Week
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  • 4
    CUTLASS

    CUTLASS

    CUDA Templates for Linear Algebra Subroutines

    CUTLASS is a collection of CUDA C++ template abstractions for implementing high-performance matrix-multiplication (GEMM) and related computations at all levels and scales within CUDA. It incorporates strategies for hierarchical decomposition and data movement similar to those used to implement cuBLAS and cuDNN. CUTLASS decomposes these "moving parts" into reusable, modular software components abstracted by C++ template classes. These thread-wide, warp-wide, block-wide, and device-wide...
    Downloads: 1 This Week
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  • 5
    ImageFiltering.jl

    ImageFiltering.jl

    Julia implementations of multidimensional array convolution

    Julia implementations of multidimensional array convolution and nonlinear stencil operations. ImageFiltering implements blurring, sharpening, gradient computation, and other linear filtering operations, as well nonlinear filters like min/max.
    Downloads: 0 This Week
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  • 6
    texturize

    texturize

    Generate photo-realistic textures based on source images

    ... of convolution networks and example-based optimization to synthesize images. We're building texturize as the highest-quality open source library available! The examples are available as notebooks, and you can run them directly in-browser thanks to Jupyter and Google Colab.
    Downloads: 1 This Week
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  • 7
    spaGO

    spaGO

    Self-contained Machine Learning and Natural Language Processing lib

    A Machine Learning library written in pure Go designed to support relevant neural architectures in Natural Language Processing. Spago is self-contained, in that it uses its own lightweight computational graph both for training and inference, easy to understand from start to finish. The core module of Spago relies only on testify for unit testing. In other words, it has "zero dependencies", and we are committed to keeping it that way as much as possible. Spago uses a multi-module workspace to...
    Downloads: 1 This Week
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  • 8
    MIVisionX

    MIVisionX

    Set of comprehensive computer vision & machine intelligence libraries

    MIVisionX toolkit is a set of comprehensive computer vision and machine intelligence libraries, utilities, and applications bundled into a single toolkit. AMD MIVisionX delivers highly optimized open-source implementation of the Khronos OpenVX™ and OpenVX™ Extensions along with Convolution Neural Net Model Compiler & Optimizer supporting ONNX, and Khronos NNEF™ exchange formats. The toolkit allows for rapid prototyping and deployment of optimized computer vision and machine learning inference...
    Downloads: 1 This Week
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  • 9
    DSP.jl

    DSP.jl

    Filter design, periodograms, window functions

    DSP.jl provides a number of common digital signal processing routines in Julia.
    Downloads: 0 This Week
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  • 10
    DiffEqOperators.jl

    DiffEqOperators.jl

    Linear operators for discretizations of differential equations

    ... with a convolution routine from NNlib.jl. Care is taken to give efficiency by avoiding unnecessary allocations, using purpose-built stencil compilers, allowing GPUs and parallelism, etc. Any operator can be concretized as an Array, a BandedMatrix or a sparse matrix.
    Downloads: 0 This Week
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  • 11
    Pytorch-toolbelt

    Pytorch-toolbelt

    PyTorch extensions for fast R&D prototyping and Kaggle farming

    A pytorch-toolbelt is a Python library with a set of bells and whistles for PyTorch for fast R&D prototyping and Kaggle farming. Easy model building using flexible encoder-decoder architecture. Modules: CoordConv, SCSE, Hypercolumn, Depthwise separable convolution and more. GPU-friendly test-time augmentation TTA for segmentation and classification. GPU-friendly inference on huge (5000x5000) images. Every-day common routines (fix/restore random seed, filesystem utils, metrics). Losses...
    Downloads: 0 This Week
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  • 12
    T81 558

    T81 558

    Applications of Deep Neural Networks

    ... structures, Convolution Neural Networks (CNN), Long Short-Term Memory (LSTM), Gated Recurrent Neural Networks (GRU), General Adversarial Networks (GAN) and reinforcement learning. Application of these architectures to computer vision, time series, security, natural language processing (NLP), and data generation will be covered. High-Performance Computing (HPC) aspects will demonstrate how deep learning can be leveraged both on graphical processing units (GPUs), as well as grids.
    Downloads: 0 This Week
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  • 13
    Astropy

    Astropy

    Repository for the Astropy core package

    The Astropy Project is a community effort to develop a common core package for Astronomy in Python and foster an ecosystem of interoperable astronomy packages. Astropy is a Python library for use in astronomy. Learn Astropy provides a portal to all of the Astropy educational material through a single dynamically searchable web page. It allows you to filter tutorials by keywords, search for filters, and make search queries in tutorials and documentation simultaneously. The Anaconda Python...
    Downloads: 0 This Week
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  • 14
    MACE

    MACE

    Deep learning inference framework optimized for mobile platforms

    Mobile AI Compute Engine (or MACE for short) is a deep learning inference framework optimized for mobile heterogeneous computing on Android, iOS, Linux and Windows devices. Runtime is optimized with NEON, OpenCL and Hexagon, and Winograd algorithm is introduced to speed up convolution operations. The initialization is also optimized to be faster. Chip-dependent power options like big.LITTLE scheduling, Adreno GPU hints are included as advanced APIs. UI responsiveness guarantee is sometimes...
    Downloads: 1 This Week
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  • 15
    Minkowski Engine

    Minkowski Engine

    Auto-diff neural network library for high-dimensional sparse tensors

    The Minkowski Engine is an auto-differentiation library for sparse tensors. It supports all standard neural network layers such as convolution, pooling, unspooling, and broadcasting operations for sparse tensors. The Minkowski Engine supports various functions that can be built on a sparse tensor. We list a few popular network architectures and applications here. To run the examples, please install the package and run the command in the package root directory. Compressing a neural network...
    Downloads: 0 This Week
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  • 16
    Pytorch Points 3D

    Pytorch Points 3D

    Pytorch framework for doing deep learning on point clouds

    ... practitioners to efficiently pursue research into point cloud analysis, with the end goal of building models which can be applied to real-life applications. Task driven implementation with dynamic model and dataset resolution from arguments. Core implementation of common components for point cloud deep learning - greatly simplifying the creation of new models. 4 Base Convolution base classes to simplify the implementation of new convolutions. Each base class supports a different data format.
    Downloads: 0 This Week
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  • 17
    PyTorch SimCLR

    PyTorch SimCLR

    PyTorch implementation of SimCLR: A Simple Framework

    For quite some time now, we know about the benefits of transfer learning in Computer Vision (CV) applications. Nowadays, pre-trained Deep Convolution Neural Networks (DCNNs) are the first go-to pre-solutions to learn a new task. These large models are trained on huge supervised corpora, like the ImageNet. And most important, their features are known to adapt well to new problems. This is particularly interesting when annotated training data is scarce. In situations like this, we take the models...
    Downloads: 0 This Week
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  • 18

    BoofCV

    BoofCV is an open source Java library for real-time computer vision.

    BoofCV is an open source Java library for real-time computer vision and robotics applications. Written from scratch for ease of use and high performance, it provides both basic and advanced features needed for creating a computer vision system. Functionality include optimized low level image processing routines (e.g. convolution, interpolation, gradient) to high level functionality such as image stabilization. Released under an Apache 2.0 license for both academic and commercial use.
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    Downloads: 44 This Week
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  • 19
    Convolution Filter Editor
    CFE is a postcardware written in plain C language. Cfe is a software, allowing the creation of convolution filters like SOBEL, LAPLACE, ROBINSON... It allows filters ranging from 3x3 up to 29x29. CFE speaks French, English, German, Italian and Spanish and has its own slideshow. The filter editor has 18 features such as mirrors, shiftings and rotations. There are no menus, all commands are directly accessible with the mouse. When a filter is created, you can give it a rating ranging from 1 to 5...
    Downloads: 2 This Week
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  • 20

    libdspl-2.0

    libdspl-2.0 is opensource cross-platform digital signal processing alg

    libdspl-2.0 — opensource cross-platform digital signal processing algorithm library, written in C language. Distributed under LGPL v3 license. This allows to use this library in all applications with dynamic linking.
    Downloads: 7 This Week
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  • 21
    Vibe for Equalizer APO

    Vibe for Equalizer APO

    Interface for Benchmarking Equalizer APO by using its Benchmark.exe

    Versatile Interface for Benchmarking Equalizer APO by using its Benchmarking.exe tool. Use Vibe to create the following files of your Equalizer APO filter/equalization setup: * An impulse response .wav file, mainly used for convolution by a media/music player or Equalizer APO itself. * A frequency response .wav file by doing a sine sweep. * A response .wav file by using your own input sound .wav file. Vibe can also be used for exporting your equalization from the Peace equalizer https...
    Downloads: 5 This Week
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  • 22
    AlphaPlot

    AlphaPlot

    Interactive scientific graphing and data analysis software.

    ...-in analysis operations include column/row statistics, (de)convolution, FFT and FFT-based filters. Scripting Console support in-place evaluation of mathematical expressions and scrtipting interface to ECMAScript like dynamic scripting language(java script). The GUI of the application uses the Qt toolkit. Periodic test builds are available here http://alphaplot.sourceforge.net/test-build.html
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    Downloads: 52 This Week
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  • 23
    bild

    bild

    Image processing algorithms in pure Go

    A collection of parallel image processing algorithms in pure Go. The aim of this project is simplicity in use and development over absolute high performance, but most algorithms are designed to be efficient and make use of parallelism when available. It uses packages from the standard library whenever possible to reduce dependency use and development abstractions. All operations return image types from the standard library. Package convolution provides the functionality to create and apply...
    Downloads: 0 This Week
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  • 24
    HeSuVi

    HeSuVi

    Headphone Surround Virtualizations for Equalizer APO

    This tool imitates the 7.1 to binaural sound effect of many surround virtualizations by making use of Equalizer APO's convolution filter. Available are impulse response that were recorded with activated... – Dolby Atmos Headphone – CMSS-3D – SBX Pro Studio Surround (also found in BlasterX Acoustic Engine & THX TruStudio Pro) – Dolby Headphone – Sennheiser GSX Binaural 7.1 – DTS Headphone:X – Windows Sonic Headphone – Dolby Home Theater v4 Headphone Surround Virtualizer – Razer Surround – Out...
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    Downloads: 2,613 This Week
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  • 25

    Takin

    Inelastic neutron scattering suite.

    The main development repository can be found here: https://code.ill.fr/scientific-software/takin
    Downloads: 0 This Week
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