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    3,007 tensorflow jobs fundet, i prisklassen EUR

    Train TFLite Model with existing Tensorflow TFRecord and COCO Datasets. All ready have 6000 annotated images.

    €177 (Avg Bid)
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    9 bud

    A react native template with following packages that import and successfully build a hello-world app for iOS and Android using package. 1- @tensorflow-models/face-detection @tensorflow-models/face-landmarks-detection 2- opencv 3.4 or later 3- react-native-tesseract-ocr

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    A React Native Template (not Expo) 5 dage left
    VERIFICERET

    A react native template with following packages that import and successfully build a hello-world app for iOS and Android using package. 1- @tensorflow-models/face-detection @tensorflow-models/face-landmarks-detection 2- opencv 3.4 or later 3- react-native-tesseract-ocr

    €19 / hr (Avg Bid)
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    39 bud

    i have datasets in google drive need to develop script in colab to train and export tf model. Need to work remotely **Note - Urgent Budget - 1500 - 2000

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    Need a AI Tensorflow devloper 5 dage left
    VERIFICERET

    I need a TF Devloper to train a model and export it . data format in PASCAL need to use Colab. Budjet 1000 inr to 2000

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    - Understand SoftMax Regression - Understand Linear Regression, Logistic Regression Calculations - Neural Network Calculations - KN-MEANS - LogLoss - Decision Trees - Naive Bayes Classification - Evolutionary Computing - Genetic Algorithms - Python Programming and Tensorflow - Convolutional Neural Networks - SoftMax Classifier

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    Create a defect detector software with tensorflow openvino or something similar. The software should go through a set of images taken from a drone of wires and with set parameters it can pick out the broken or defected wires there is already some softwares on youtube with codes but I am looking for one that can quickly sort bulk images faster

    €92 (Avg Bid)
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    Jupyter/Python with Binder 3 dage left
    VERIFICERET

    I need 10 Jupyter/Python notebooks created that will run...in Pandas with daily and Monthly charts 003 Two data series with Moving Averages (MA), RSI and MACD 004 Seasonal Arima 005 Auto-correlation and Partial Auto-correlation 006 Detailed Time Series Analysis 1 series 007 Detailed Time Series Comparison/Analysis 2 series 008 Determine if multiple input series affect one series 009 Determine if multiple series affect each other 010 Machine Learning = Tensorflow ??? 2). Please state your experience with Binder, Jupyter and why this project i 3). Please state your experience (if you have any) with "R" and Julia So the project is to create 10 analytic Python/Jupyter notebooks with detailed comments in each notebook section and get them tested and running on the Binder ...

    €78 (Avg Bid)
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    Have a Flask app (based on tensorflow) that need to be deployed in EC2 instance. Use of tensorflow is giving me an error and hoping to get some help.

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    Deploying Flask Microservice to Google Cloud and Build CI/CD Pipeline with GitHub Repos. User Docker and Google Cloud. Use Python and Flask for Back-End and Use React and JavaScript for Front-End. Use TensorFlow/Keras LSTM package.

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    I want to configure NVIDIA CUDA so that I can run a simple python script. If you have experience with configuring cuda on windows server 2019 VPS, then you are welcome. This is an urgent task. If you have experience, you can finish it within 1-2 hours. If you are proved to be a fit, I will provide anydesk id. Thanks.

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    Hello, Thanks for checking on my project detail. I am looking for Machine Learning and Computer vision expert to ...project is to recognize one insect type in the test dataset (I will share the test dataset). Attached is a tarball you can unpack to get images and ground truth labels for the filbertworm (an insect pest in hazelnuts). This test dataset is typical of the images and recognition complexity. I have about 20 different pests that I have to recognize with 90%+ accuracy. I'm currently using Faster RCNN on TensorFlow 2.8. Eventually I will need 20 different AI models, this is for just testing you to see if you can do well here and then we can talk about the contract work. I don't like auto bid, please add 'Insect recognition' on your proposal. Looking forwa...

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    Creating a chatbot for university using python, nltk, TensorFlow, lstm and Keras that can respond to questions about the university, fees, majors or admissions process, etc… and writing a report in latex format.

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    Bachelor's degree in Computer Science, Computer Engineering, AI or related fields 5+ years of experience with architecture, design and implementation of AI/ML technologies Technical depth in shaping and designing AI/ML architectures and infrastructure Familiar with Cloud Infrastructures, Kubernetes, Docker, GPU, TensorFlow, Pytorch & other Opensource AI/ML framework and libraries Experience with Programming languages (Python, Java, etc) and database (SQL & NoSQL) Strong stakeholder management skills with ability to distil information and communicate directly with stakeholders. Experience working in a fast-paced, results-oriented team. Experience working in Media & Entertainment industry is a strong plus

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    I have a project where i need a skilled and dedicated RPI programmer well knowable in the image recognition area. It is an ongoing project and for the right person we will have additional project when this is completed.

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    handwritten signature recognition program for Evaluating and analyzing the classification accuracy performances, ROC score, Curve, FI score, and Equal Error Rate (EER) for GPDS Synthetic Signature Database (1000 users) with Inception-v4 and inception resnet v2 using TensorFlow architectures

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    I need 6 to 10 Jupyter/Python notebooks created that will run on a Binder server from a repository on GitHub using time series data. The notebooks will load time series data from a web API and display analytic analysis in the noteboo... charts 003 Two data series with Moving Averages (MA), RSI and MACD 004 Seasonal Arima 005 Auto-correlation and Partial Auto-correlation 006 Detailed Time Series Analysis 1 series 007 Detailed Time Series Comparison/Analysis 2 series 008 Determine if multiple input series affect one series 009 Determine if multiple series affect each other 010 Machine Learning = Tensorflow ??? So the project is to create the analytic notebooks with detailed comments in each section and assist getting them running on the Binder server ...

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    I also posted this in a job post here Basically you will build a some .h and .cpp files that act to build an ML graph for our own hardware and software (so includes memory allocation, autodifferentation). We want out ML Library to be programmable like Torch C++, for instance, on the frontend but ut... Basically you will build a some .h and .cpp files that act to build an ML graph for our own hardware and software (so includes memory allocation, autodifferentation). We want out ML Library to be programmable like Torch C++, for instance, on the frontend but utilize GPU with our own non-conventional hardware. So in summary, we are creating our own Torch or Tensorflow C++ and we need someone to manage the GPU side.

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    I want a REACT NATIVE project with the following packages with all dependencies installed and ready to use. 1- react-native-nfc-manager 2- react-native-vision-camera 3- @tensorflow/tfjs-react-native, @tensorflow/tfjs 4- react-native-tesseract-ocr 5- opencv from

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    handwritten signature recognition program for Evaluating and analyzing the classification accuracy performances, ROC score, Curve, FI score, and Equal Error Rate (EER) for GPDS Synthetic Signature Database (1000 users) with Inception-v4 and TensorFlow architectures

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    1. Required skills: - Basic knowledge of statistics and probability theory. - Certain knowledge of the methodology of neural networks and elementary architectures, such as dense neural networks and convolutional neural networks (CNN = convolutional neural network). - Knowledge of frameworks for manipulation of neural networks: for example, PyTorch or TensorFlow. 2. Data format. It is important to fix the data format for the entire learning process. Neural networks lack flexibility in this regard, and the widely used resizing of the image (so-called re-scaling) can distort it and significantly reduce the probability of identifying a small object that occupies only a few (dozens) of pixels. Example: - input image size M x N pixels; - each pixel is coded with one number - intensity w...

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    I need a TensorFlow model to identify each of my class students. Vital for online and physical meetings. Must have high accuracy and work with different input resolutions, and should be able to identify multiple students at once

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    Hi there! We have a tensorflow model for detecting face-spoofing attempts (providing photos instead of real person face). The task is to create an android library to pass images from camera to the model. Place our trained model into the assets, use the tensorflow interpreter to load the model and get the score, return score to the client. Useful link: There is an example project loading model and accessing it. Out model has one input (bitmap image) and one output (score). In the attachments you can find a code for loading similar anti-spoofing model. We need a developer to make a library and a simple example app with linked library to pass images from camera to the model. 2-3 days of work and adjustments.

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    Need help figuring out why my output is not the same as the savedmodel output. Have verified that weights and biases of convolutional layers are identical to that in the saved model, but output is slightly off.

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    what we need is to to deploy a yolov4 model that is converted to tensorflow lite ( we already did the model) into a rasperry pi device which will take the input from a rasperry pi camera and detect the fire by the model, if a fire or smoke is detected by the model we need to do an events which is : 1- Changing a value of a connected Firestore database to recognize that a fire or smoke is detecte EX, Fire : "yes" Also, turning on the buzzer and Led that we connected to the rasberry pi by reading a value from the connected Firestore database Ex. if Fire: "yes" then turn on

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    We need a ML algorithm, f.e. built with tensorflow, which describes contents of images across all topics. Please provide the following: - expertise in this field (similar projects you have built) - technology you will use - training-dataset you will use

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    DETECT LOGO I need to create a console app able to scan mp4 video record...video recording files of 1h each and detect logos. I found this: (but you can choose another code to use) Tensorflow Object Detection API is the easy to use framework for creating a custom deep learning model that solves object detection problems. Considering we have already our own dataset, we just need to create a custom model with sufficient accuracy using a collection of detection models pre-trained on COCO, KITTI, and OpenImages dataset. DeepLogo provides training and evaluation environments of Tensorflow Object Detection API for creating a brand logo detection model.

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    Collect data of the past year from StackOverflow using any of the libraries listed for StackExchangeAPI. Submit your comparative analysis report for the results.

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    I need someone who is very good at machine learning and data analysis and has proven experience For this project, I have various crypto assets which has prices split into 3 minute epochs of data (The data is taken from lots of exchanges) Each epoch has approx 3 minutes of data and various companies (including myself) submit what they think the true price of the asset is for the period in USD, so might take weighting average of certain price times etc. Once all companies submit their estimate of the true price, the external service then calculates the median of prices submitted and a quartile range. My submitted price needs to be inside that quartile range as often as possible for my service to be considered accurate. Attached are 1000 sample epochs of data for each of the crypto assets...

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    NDA
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    Require a python programmer professional in Keras or TensorFlow to develop a python code into a library and makes it general that any new dataset can be applied to a specific deep neural network model.

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    I Need camera detection that can analyze pictures taken of coins, (pennies, quarters, dimes, nickels) and find the date year, and mint mark Will have to have to be able to process images taken of all rotations, meaning if the coin is upside and the date is upside down, it will have to be able to find it...according to their years but I will worry about that, just needs to be integratable for that project. Also, There will be two sides of the coins taken per processing, the heads and the tails because sometimes the tails have dates for certain coins. We can use annotated images I have for pennies already to find the location of the year, the location of the mint mark, and what mint mark. Maybe use TensorFlow and annotation, and then use an OCR that's smart enough to read the ye...

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    I am looking to build a neural network using TensorFlow that can identify images of coins to their dates and mint mark, so like if I take a picture of a 1943 dime minted in denver, the robot will know that. Simple project, I already done most but I am having problems with zlibwapi I suggest using python and using tensor flow with matplotlibs

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    Description: - Demonstrable mathematical understanding of machine learning, deep learning, and reinforcement learning fundamentals; - Strong Python skills whilst working with TensorFlow and Keras; - Hands-on experience in implementing Reinforcement Learning; - Experience with developing functioning Deep Q Learning systems; - Strong programming skills with proven experience crafting, prototyping, and delivering advanced algorithmic solutions. Ways to stand out from the crowd: - Experience with Bayesian Networks; - Familiarity with PyTorch or Caffe; - Knowledge of optimization algorithms

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    Hi, Python, PYtesseract and OCR library Expert only! My project is an automation woocommernce wordpress websites that send auto generated report based on the image created using client date of birth information. Flow: Client input info -> paid -> detect orders -> auto-insert info to a 3rd party website and get result(image) -> read image and get text-> get corresponding text content from DB -> create PDF report -> send to me or client. IT IS ALREADY WORKING FOR 2 YEARS UNTIL IT FAILED BECAUSE I UPDATED PHP VERSION AND PLUGINS The freelancer who made it not wating to fix nor unwilling to share, so I have to find another OCR and python expert to fix it, and are looking for long term partnership. I am not a IT person, this is what I know from the previous freelancer....

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    IMMEDIATE HIRING I need a developer to develop an android application that can detects drowsiness by opening a camera develop using tensorflow lite and android sdk . My aim is that the project will use datasets from kaggle to enhance facial expression of only yawning and eyes closing. As an add on, in most muslim countries, some people may use their hands to cover their mouth if they yawn. So i need an app do determine that too. Furthermore, i want to add haar-cascade method just to detect the localization of eyes and mouth . Down here is the sample sketch of this app. Last but not least put an alert to alert the driver.

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    Neural network Udløbet left

    Simple task on the neural network by Tensorflow

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    Implement the following research paper on Figshare Brain Tumor Dataset - Basically Extract features using AlexNet and VGG16 and then put those features through a ML Model Classifier(SVM) and evaluate. The research paper is attached below which needs to be implemented. (Figure on page 4 explains the whole idea) Preferably using tensorflow and Keras library.

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    Hi, i need review and optimization for mine GAN code,in particular I need to resume training without going back to the first epoch, so far the tests done have not brought results, who can help me and explain as well as correct?

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    i need a developer to develop an android application that can detects drowsiness by opening a camera develop using tensorflow lite and android sdk . My aim is that the project will use datasets from kaggle to enhance facial expression of only yawning and eyes closing. As an add on, in most muslim countries, some people may use their hands to cover their mouth if they yawn. So i need an app do determine that too. Furthermore, i want to add haar-cascade method just to detect the localization of eyes and mouth . Down here is the sample sketch of this app. Last but not least put an alert to alert the driver.

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    First step: We need an AI that is able to detect elephant rumbles from jungle recordings. Additionally: The AI should show it's predictions (time-stamps from a sound file) and we should be able to tell the AI if it is true or not. ...for now): The trained model should run on a solar powered microcontroller (ESP32) as an elephant detector while it is constantly listening in the jungle with a connected microphone. These detectors will be able to spot elephants before they reach a farm or village and warn rangers in that area who can deal with that situation. This will prevent human-elephant-conflict. As far as i know only Tensorflow (With Tesnorflow Lite) or PyTorch (with TinyML)are able to run on a ESP32. Which should be considered. If you have any further questions. Feel fre...

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    I need someone to help me deploy Python TensorFlow object detection project on Jetson edge processor family. Needs to have experience in Nvidia deepstream framework and must be able to run deepstream docker on docker based on an Nvidia GPU. Must have a Unix system with Nvidia GPU Experience in developing Object detection algorithm using Python and Tensorflow and familiar with Tensorflow Object detection API and TensorRT to be able to deploy on Jetson Edge devices. Good to have experience in: Optical flow, AWS, Flask and C/C++ Willing to communicate on other platforms ex whatsapp, email etc AFTER THE CONTRACT HAS BEEN SIGNED. I do not intend to violate any terms anywhere. The price is only a Placeholder and will be discussed. This will extend to a long term pro...

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    I need someone who can work with us as a long-term. The candidate should be know about swift and tensorflow. Please contact me if you have experience in that Thank you

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    Data Scientist Udløbet left

    Our firm is looking for a Data Scientist to join our team! We are a cutting-edge technology company that specializes in helping marketing agencies bridge the gap between data science and business. As a Data Scientist at our firm, yo...trends and ways to improve our AI models. • Collaborate with our team of experts to develop and implement new AI models. Requirements: • A minimum of 2 years of experience working with data. • A minimum of 1 year of experience working with machine learning or artificial intelligence. • Strong programming skills in Python. • Experience working with popular machine learning libraries such as TensorFlow, Keras, and scikit-learn. • Experience working with big data platforms such as Hadoop and Spark. • Excellent communic...

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    Hi Loyid A., I noticed your profile and would like to offer you my project. We can discuss any details over chat. Machine Learning, NNs for Text Classification(Tensorflow, Jupyter notebook) please read the Word document attached for details. Easy copy-paste-and-edit project. If You know what to do, you can finish it in 2 hours

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    Tensorflow App Udløbet left

    Need to create app for Machine Learning App

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    Fix Tensorflow code Udløbet left

    Hey Experts, Can you fix the attached Tensorflow code. It entails machine learning models for predicting football using Tensorflow. The first error seen is "ValueError: Shapes (None, 1) and (None, 3) are incompatible" when fitting the model. Files to debug includes tensorflow_ftr, tensorflow_over2.5

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    base_model1 = ( include_top=False, weights="imagenet", input_tensor=None, #input_shape=None, pooling=None, classes=200, input_shape = image_size, classifier_activation="softmax", ) base_model1.trainable=False replace with retinanet...

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    Build a custom NER model suitable for mobile deployment. - Should be trained for chemical names , brand names & company names. - High performance and low run time (<100ms) - To be used for mobile deployment ( tensorflow lite , mlkit etc) - accuracy measured by looking at % entity recognised YOU must have experience in building custom trained NER in past and mobile model dev. input to the model will be text extracted from OCR model output. from a set of images.

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    There are approximately 1700 “X” pictures and 700 “Y” pictures. The goal is to enter a new picture to the computer, in Python and he will be able to tell us if it is a “X” or “Y” pictures. The desired rate of s...The Python program should support both MAC M1 (support for its neural engine) and windows PC. I know I don’t have enough “Y” pictures, but for the sake of work you can train 1500 “X” pics and 500 “Y” pics and then input the remaining 200 of each to the neural network, to test the results (How it handles new pictures) There is a must to use Python language, with known and trusted frameworks: TensorFlow, Pytorch, Keras, Numpy etc. At the end I will get the code, and FULL explanation how...

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    This AI iris-tracking model needs to track both iris and determine whether the eye is looking up, down, left, and right with above 80% accuracy using TensorFlow/python-based libraries. ideally, it should be optimized on a webcam but be portable to a phone camera. For further details please contact me

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