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    I would like to convert some optimization (second-order non convex optimization) PyTorch code to C++. Ideally the code will also implement a supporting package which is imported and have CUDA support, but willing to fund work where the code uses an alternative optimizer like LBFGS and versions with no GPU parallelization support. Also interested in multiprecision support if possible. Rate negotiable depending on ability to tend to details above.

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    Convert PyTorch code to C++ 6 hari left
    DISAHKAN

    I would like to convert some optimization (second-order non convex optimization) PyTorch code to C++. Ideally the code will also implement a supporting package which is imported and have CUDA support, but willing to fund work where the code uses an alternative optimizer like LBFGS and versions with no GPU parallelization support. Also interested in multiprecision support if possible. Rate negotiable depending on ability to tend to details above.

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    ...network framework. The project has 5 main phases: 1) Build a P2P network, where each node/peer participating in this network must be capable of discovering, routing, messaging, file sharing and pinging other nodes/peers. This can be done through the IPFS or LibP2P. This step is very easy just need to install one of the abovementioned protocol and then deploy it as a private (isolated) network via "Swarm / DHT ". 2) Resource management: each node/peer must be able to manage its own resources (i.e. RAM, CPU and storage). 3) Deploy RAY over this P2P network: RAY must be deployed, run and test in this platform when the steps 1-2 are accomplished. It means that the platform must support an external application like RAY. 4) An API must be writen to interconnect P2P network an...

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    Hi, I would need a comparison of four different models for a time series forecasting project. The four algorithms that need to be implemented are - Fast Fourier Transform Forecasting model (FFT) - Theta model - Multi layer perceptron model (MLP) - Convol...a comparison of four different models for a time series forecasting project. The four algorithms that need to be implemented are - Fast Fourier Transform Forecasting model (FFT) - Theta model - Multi layer perceptron model (MLP) - Convolutional Neural Network model (CNN) I want the prediction on an hourly resolution. The single variable which needs to be forecasted is the PM25 value from the attached dataset. PM 2.5 refers to a category of particulate pollutant. The implementation should be in python using a jupyter no...

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    RF channel modeling using ML 6 hari left
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