Showing 7 open source projects for "decomposition"

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  • 1
    AIMET

    AIMET

    AIMET is a library that provides advanced quantization and compression

    Qualcomm Innovation Center (QuIC) is at the forefront of enabling low-power inference at the edge through its pioneering model-efficiency research. QuIC has a mission to help migrate the ecosystem toward fixed-point inference. With this goal, QuIC presents the AI Model Efficiency Toolkit (AIMET) - a library that provides advanced quantization and compression techniques for trained neural network models. AIMET enables neural networks to run more efficiently on fixed-point AI hardware...
    Downloads: 4 This Week
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  • 2
    Frevo

    Frevo

    Frevo is probably the simplest tool for evolutionary design

    FREVO is an open-source framework developed in Java to help engineers and scientists in evolutionary design or optimization tasks. The major feature of FREVO is the componentwise decomposition and separation of the key building blocks for each optimization tasks. We identify these as the problem definition, solution representation and the optimization method. This structure enables the components to be designed separately allowing the user to easily swap and evaluate different configurations and methods or to connect an external simulation tool. ...
    Downloads: 0 This Week
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  • 3
    Replica Dataset

    Replica Dataset

    High-fidelity indoor 3D dataset for AI simulation and robotics

    ...Each environment contains detailed models of real-world spaces, including rooms, furniture, glass, and mirror surfaces. The dataset also provides semantic and instance segmentations, planar decomposition, and navigation meshes, making it highly suitable for simulation, visual perception, and autonomous navigation tasks. Replica integrates seamlessly with AI Habitat, Meta’s framework for embodied AI training, enabling large-scale agent simulation and photorealistic rendering for reinforcement learning and robotics. Researchers can use Replica’s ReplicaViewer to interactively explore the 3D scenes.
    Downloads: 2 This Week
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  • 4
    pure python polyfit

    pure python polyfit

    python2/3: compute polyfit (1D, 2D, N-D) without thirdparty libraries

    python2/3: compute polyfit (1D, 2D, N-D) without any thirdparty library like numpy, scipy etc. also can be used for least squares solution computation and for A=QR matrix decomposition. Tested with python 2.7 and 3.4 Consider donating to this project: https://sourceforge.net/p/purepythonpolyfit/donation For a Sample use, refer to the WIKI
    Downloads: 0 This Week
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  • 5

    Fast Matrix for Java

    General purpose matrix utilities for Java in Parallel Computing

    Fast Matrix for Java (fm4j) is a general-purpose matrix utility library for computing with dense matrices. fm4j encapsulated different underlying implementations and select the optimal one in run-time depending on the size of the input matrix. Moreover, fm4j employs Java (Tm) Concurrency to take advantage of the computation power of multi-cor processors.
    Downloads: 0 This Week
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  • 6

    math toolkit

    A C++ and Python library for finance, statistics and linear algebra.

    ...Statistics features include mean, median, variance, standard deviation, covariance, correlation, linear regression, probabilities and random variates of various distributions ... Linear algebra features include matrix arithmetic, inverse, determinant, rank, linear system solution, lu/qr decomposition, svd, eigen values/vectors ... And some auxiliary features like random number generators, equation solution, numerical integration, permutation/combination and gcd/lcm etc. It is aimed to be a convenient and handy toolkit to check out your ideas.
    Downloads: 0 This Week
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  • 7
    HASEM

    HASEM

    Matrix c++ library solving any linear algebra problems

    HASEM is a c++ template library, it can be easily configure as a expression template. HASEM solves any linear equation of any kind, it might be homogenous/none homogenous, compute the inverse of square/none square matrices, find LU decomposition, find determinant and rank of matrices, calculate the characteristic polynomial of matrices, find the eigenvalues and eigen vectors and so on. HASEM uses many methods, therefore, you are not limited to just one method, you have the choice to define your desire method as default one. With over 200 member functions and over 40 none member functions HASEM is almost able to solve any linear algebra problems. ...
    Downloads: 0 This Week
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