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    4,517 1d cnn pytorch работ(-а,-ы) найдено, цены указаны в USD
    Project for Kornienko P. Завершено left

    Добрый день! У меня есть проект такого плана: Implement a univariate regression model using b-splines in tensorflow or pytorch. Вы такое умеете делать? Давайте обсудим.

    $25 / hr (Avg Bid)
    $25 / hr Ср. заявка
    1 заявок(-ки)

    ...75e. У него свое sdk. Надо реализовать работу со встроенным сканером штрих-кода и считывателем mifare карты, а также работу с камерой устройства. Приложение позволяет считать 1D, 2D barcode и считать mifare карту. Приложение связывается с базой данных для получения информации по socket'у. Срок на разработку 25 дней!!! Есть приложении на iOS в котором

    $656 (Avg Bid)
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    Need a professional programmer to create a model with dataset from github (google landmarks to train) and simulate as well.

    $361 (Avg Bid)
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    Design a deep learning model 6 дней(-я) left

    ...InceptionResnetv2), (c) a CNN combined with a long short-term memory (LSTM) network to fuse information about the spatial coherency of tumor’s CT slices, and (d) combinatorial models (LSTM + CNN + radiomics). In addition, the CT images were independently evaluated by two expert radiologists. Our results showed that the best CNN was Inception (accuracy

    $2057 (Avg Bid)
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    project in MATLAB 6 дней(-я) left
    ПОДТВЕРЖДЕН

    my project is to try t...project is to try to replace the forward operator of some inverse problems with a properly trained neural network like recurrent neural networks, and the forward operator is 1D convolutional forward modelling based on the full Zoeppritz equations. My problem is how to put the angle on the dataset to train it to get CMP_gather.

    $32 (Avg Bid)
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    Dataset for Indian Vehicles 6 дней(-я) left

    I need a dataset of clearly visible indian car number plate of each states, for training a cnn model. price/ pay will be depend on the size, quality of the dataset.

    $130 (Avg Bid)
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    1 заявок(-ки)

    The broad area regarding the project is related to fingerprint identification and classification using CNN algorithm which is to be implemented using simulink on FPGA board

    $353 (Avg Bid)
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    binary classification of covid cough -- 2 4 дней(-я) left
    ПОДТВЕРЖДЕН

    I need to add an interface to record ...result you can do it ? i need the whol project interface + tratment and result my project is diagnosis of covid 19 by voice via deep learning I have already built two ANN and CNN models but the precision is only 74% if you can improve the precision thats will bea great you can use your own program if you want

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    Title: Sign Language Recognition System on (Windows or Web System). - Detail information on the training set and testing set are expected - Detail evaluations in terms of performance are needed (comparative analysis). - How you have solved the issues of Overfitting / Underfitting. - Explain all the techniques such as Data augmentation, segmentation, ROI, Feature extraction, Classification, ML/...

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    Build me a deep learning model 4 дней(-я) left
    ПОДТВЕРЖДЕН

    1. Setup a linux system for a Deep Learning application 2. Train a given dataset under given frameworks [MS COCO, U Net, TF/Keras, Pytorch] 3. Communicate with the team and mutually identify improvements to the model

    $421 (Avg Bid)
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    I need to develop deep learning module using Pytorch-TN3 1 день left
    ПОДТВЕРЖДЕН

    hire Yusuf for this project. I need to develop deep learning module using Pytorch-TN3

    $833 (Avg Bid)
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    3 заявок(-ки)
    Project for MindLoom technology-3 1 день left
    ПОДТВЕРЖДЕН

    Implementation of the CNN for the forward design of the device.

    $496 (Avg Bid)
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    14 заявок(-ки)

    Для просмотра деталей, пожалуйста, зарегистрируйтесь или войдите в систему.

    Соглашение о неразглашении
    Program a Code written in C 2 часов(-а) left

    I'm looking for someone efficient and an expert at C to program a code for me using 1d and 2d arrays, I have broken down what needs to be coded in simple step by step explanations with given outputs required.

    $27 / hr (Avg Bid)
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    Cartilage segmentation using CNN Завершено left
    ПОДТВЕРЖДЕН

    Cartilage segmentation using CNN For medical MRI Images You need to collect data MRI Images and do the project, please refer to the attached file.

    $31 (Avg Bid)
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    Need to develop deep learning module using Pytorch it is based on paper, but not opened source code, So, we need to implement that based on paper

    $603 (Avg Bid)
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    Artificial Intelligence Software Завершено left
    ПОДТВЕРЖДЕН

    TensorFlow, PyTorch, Keras, Scikit-learn, Pandas, Numpy

    $15 / hr (Avg Bid)
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    It's my mini project I need some help in this ..... Please do my project

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    I have a CNNs model which do image classification, my inputs 2 dataset each one alone. It is working fine with one of them and not working with the second The images show as black ⚫ after the prossing part

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    Hi, I need some help from you in our B. Tech. Project. The topic of our project is Twitter Sentiment analysis using CNN deep learning model. So, far I have implemented the basic code of CNN and RNN. We are following the research paper, particularly in the ASPECT LEVEL SENTIMENT CLASSIFICATION. Do you have any past experience related to this topic? Can

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    Code optimization Завершено left

    ...it is a hybrid stacked model of SVM, RF using logistic regression as a meta model. I faced a problem regrading memory utilization (OOM). In this project I used deep learning (CNN) for feature extraction and machine learning (SVM and RF) for classification. I need to optimize the program using Python Generator or any other method that can read my data

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    Collect all of the following: 1. English and/or Arabic news sites produced in the Middle East North Africa (MENA) region 2. Arabic news sites from around the world (BBC Arabic, CNN Arabic, etc.) Notes: - Provide RSS feeds when available - There may be multiple RSS feeds per news site - The same site may have both English and Arabic versions Output requirements:

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    Segregate fruits as defective and non defective by image classification in python. Use CNN model for training and testing on apple image data set. Features should be considered are shape ,size and color of fruit. Any fruit smaller than normal size , even though qualifying all the testing parameters , should be discarded.

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    Seeking honest, truthful, reliable, professional partners for this task. Need a cross platform mobile app (iOS, android, UWP) that will read/write/manage NFC, Mifare, 1D, 2D, QR, Data Matrix, RFID (HF, UHF via external Hardware device) tags or impressions. The hardware transport shall be various Wi-fi, Bluetooth flavors that are supported in today's

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    Guidance for GAN Project Завершено left

    Hello, I am looking to build a simple GAN network, you can visit the github code here ([войдите, чтобы посмотреть URL]) The code in github uses mnist data but I want to replace it with my own mini images. The raw images I have are of size 208 x 208 px but the mnist data is of size 28 x 28 px.

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    ...Android phone Application Summary: - We are building an application for internal company use to capture images/photographs for various projects. - We need to first capture a 1D/2D barcode using the camera and then proceed to take the image/video for the project. The barcode captured will be used in the filename of the saved image. Technical Specs:

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    Cutting stock problem C# Завершено left

    Hi I need to develop algorytm to solve "Cutting stock problem" for 1D items (aluminum beam). Input: - 5 variants of lenght in stock (unlimited stock), - 50 items to be cutted, each with different lenght. Result should return the best option which varinats should be taken to cut all items to minamalize leftovers. Result: - working part of code in

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    Math FMD representation Завершено left

    Write the FDM representation to each of the flowing equations: a) 1D Heat equation using Central time and space explicit over ?∈[0,?],?(?,0)=∅(?) ??? ?≥0 show the algorithm graphically and also provide a few lines how to proceed with the solution starting from Dirichlet conditions. b) 2D Wave equation using Central time & space implicit, over ?,?∈[0

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    I want to create and train convolutional neural network for deep learning classification to detect and classify the drones and distinguish between it and (helicopter ,fighter, missile, airplane, rocket ) using (MATLAB ) I have the dataset that will use in the code .

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    We have two deep learnings models that have already been created in PyTorch: 1. One multitasking feed forward model 2. One feed forward model with one task head I need you to: 1. Tune the hyperparameters of these models with a Bayesian approach 2. Demonstrate the performance of this model without PCA (currently PCA is used) through confusion matrix

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    neural Network result Writer Завершено left

    Looking for someone expert in Blockchain or CNN technology for some writing [войдите, чтобы посмотреть URL]'s are already driven ,Discussion Of result required.

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    Hello . I am Looking for a deep learning specialist that can build a skin cancer diagnosis model for me using CNNs and optimization algorithm to optimize the performance of the CNN

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    ...available on github -accuracy is 94% ) and then you should develop&train your enhanced CNN. Then you should do a comparative analysis of both model. you should catering for the below in your python codes? -Application of pre-trained model -Development of enhanced CNN -Explanation on training set and testing set -How you have trained the model and solve

    $139 (Avg Bid)
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    We have two deep learnings models that have already been created in PyTorch: 1. One multitasking feed forward model 2. One feed forward model with one task head I need you to: 1. Tune the hyperparameters of these models with a Bayesian approach 2. Demonstrate the performance of this model without PCA (currently PCA is used) through confusion matrix

    $130 (Avg Bid)
    $130 Ср. заявка
    7 заявок(-ки)

    We have two deep learnings models that have already been created in PyTorch: 1. One multitasking feed forward model 2. One feed forward model with one task head I need you to: 1. Tune the hyperparameters of these models with a Bayesian approach 2. Demonstrate the performance of this model without PCA (currently PCA is used) through confusion matrix

    $154 (Avg Bid)
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    18 заявок(-ки)

    ...(traditional and noSQL) • Bonus Points if you have: • Experience with a mass-market consumer-facing product • Familiarity with auto-differentiation libraries (e.g., TensorFlow, PyTorch, etc.) • Proficiency with the pydata stack (NumPy, scipy, pandas) • Familiarity with scheduling and orchestration tools (e.g., Airflow, Metaflow, etc.) • Familiarity with AW...

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    Hello, my name is Martins and I am a health practitioner passionate about the use of data-driven approaches to solve problems. Please I am looking for a specialist in Convolutional Neural Networks and Optimization algorithms that can build an image recognition model for skin cancer diagnosis for me. Thank you

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    PyTorch Project Завершено left

    We are looking for several agents with excellent PyTorch skills to join our team. For this project, the reimbursement will be $1500. First, every bidder will have to complete a simple PyTorch test. Based on the result the agent will be hired. Deadline to complete 14th Oct. Message me for details.

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    Hello I need tier 1 press news articles. If you have the connections to provide for me. Please send me your list of sites. Only top sites please. Also have to have some sample links for each site.

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    I am working on a multiply image super resolution project and I already have the deep learning model code, but I need the following metrics (MSE, SSIM, PSNR) to be outp...deep learning model code, but I need the following metrics (MSE, SSIM, PSNR) to be outputted. Colab notebook and data are all on google drive. Note: Model is in python using pytorch

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    GAN model in pytorch Завершено left

    A simple model required , anyone interested?

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    Python PyTorch code Завершено left

    Image Super-Resolution Using Very Deep Residual

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    Trophy icon Design Company logo Завершено left

    ...Families. We are looking to target the higher-end market, so it must appear professional, modern, clean, and only use black and white. The 'A' part of the logo must be flat (1D) and Identical to the mocked up version and 'PLAN' should be in 2D. Open to font suggestions for 'PLAN' and 'Kitchens & Bathrooms' The logo will be required in High R...

    $30 (Avg Bid)
    Гарантированный

    ...analytics, and DevOps with specific expertise in AWS Services (basic understanding) , Deep Learning Framework, Data Analytics, and Machine learning. • Practical experience in Pytorch/Tensorflow, Python, C / C++ (possibly also Python, C). • Creativity and curiosity for solving highly complex problems, and a team-oriented attitude. • The ideal candidate

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    I required a simple model ,anybody interested?

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    Implementation of googlenet Завершено left

    There are different categories of food pro...food products. This project identifies the image and then classifies it into a particular category. In the current CNN model, the products with white or plain packaging are misclassified as flour. This must be rectified. Optimize CNN: 1. Run googlenet [войдите, чтобы посмотреть URL]

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    I want someone to pick some datasets and run my cnn on that dataset and run different classification models and compare those to my cnn

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    ...identifies the image and then classifies it into a particular category. In the current CNN model, the products with white or plain packaging are misclassified as flour. This must be rectified. Optimize CNN: 1. balancing, feature selection 2. Optimize the existing CNN model to increase the prediction rate [войдите, чтобы посмотреть URL]

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    Fixing few things human motion prediction project. Note* Project is finished and already running

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    Data Scientist Завершено left

    ...disciplines above with 2+ years of relevant multi-year industry experience • Excellent knowledge of developing deep learning models using tools such as TensorFlow, Keras, Pytorch, etc. • Understanding and past experience of Oil and Gas domain is a plus • Experience working with, processing and managing large data sets (multi TB scale) is preferred •

    $50000 (Avg Bid)
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