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    2,672 tensorflow jobs found, pricing in USD

    We record ultrasound to detect bats with a micorphone on a raspberry. We would like to train a neural network and use its inference to detect (and recognize species) bats in a noisy environnement. All the hardware part is ready (raspberry, usb ultrasound microphone, ultrasound player with recorded bat calls) This project need to be achieved in Python. We use Tensorflow on some other projects, it may be easier for us to use this library here too

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    Build app with React Native that has the ability to integrate TensorFlowJS and TensorFlowLite. The app must be able to 1. run tensorflowjs/tensorflowlite models 2. use react native tensorflowjs 3. save the image detected by the model 4. send the image to a server for api calls 5. be able to run on Android and iOS

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

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    Flutter Machine Learning 4 days left
    VERIFIED

    I would like to add machine learning to my flutter app, preferably with Tensorflow. My database set up is currently with firebase. **It's important that I work with a developer who knows how to communicate well and pays attention to details and stays on time. Please submit your proposal highlighting your experience with machine learning including what you have been able to accomplish with machine learning. Thanks

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    I want to use Tensorflow models in Visual Studio C++ via vcpkg. Two kind of models should be calculated: A) Classification models B) Object Detection models I already started, installed tensorflow packages (in vcpkg) and set up a project. But I get errors. A detailed description is in (see attachment) My project is in: (see attachment) Under the link you can find 2 files: Sample for Classification model Sample for Object Detection model There are the models I want to use and sample images and results generated with python for comparison. The tasks are: 1) Get my project run with correct results for A) and B) with usage of vcpkg tensorflow with shared libs (dynamic linking) 2) Same

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    I am looking for very specific help troubleshooting a binary BERT classifier for text (built using a HuggingFace model). My classifier takes as input a training set and a test set and outputs probabilities of belonging to each class for each observation. My problem is simple: I do not know how to match the predicted probabilities with the observations to which they correspond. The output of the prediction has slightly fewer rows than the number of observations in the corresponding dataset, so I think some NA values must be getting dropped, but I don't know how to find out which ones they are. Ideally, the freelancer would take a look at the code and modify it so that when outputting probabilities, the code also outputs an additional column: the text that the probability was calculat...

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    need to create OCR that can read all my symbol and text and create reinforce learning

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    need to create OCR that can read all my symbol and text and create reinforce learning

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    I need to create OCR that can read all my symbol and text and create reinforce learning

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    I need to create OCR that can read all my symbol and text and create reinforce learning

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    I have a series of data dating back till 11/1/2020 with no missing data. Data is all present in MySQL a dbase online. There are multiple sets of data for each day which depict historical # of calls, service level, # of employees present, etc. I would like someone that could use this data to help forecast out at least 1month in advance. The result data can be placed back into MySQL. I would like to set this up so it runs 1x a day to update the forecast models.

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    Train time series model using docker-compose or Kubernetes to simulate distributed training with PyTorch or TensorFlow data loader. I will share all information.

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    I need to create OCR that can read all my symbol and text and create reinforce learning

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    I need to create OCR that can read all my symbol and text and create reinforce learning

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    I have already developed this project after adding some features it stopped working . please look forward and resolve the issue .

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    Machine Learning should be used to test the game "Dirt 5." There should be 10 - 15 mins of continuous input where the car will try to stay on the tracks and go around the tracks. The goal is not to win the game but to simulate someone playing the game. If the car hits a barrier or another car or gets off track of the course, it correct itself and get back on track. OpenCV, TensorFlow and Keras should be used. No other deep learning languages. The requirements listed are I’ll of the requirements. Other than that I am open. You can look at how the game is played on YouTube for more details: 1 Example: Here is an example video of another game Deliverables Must be in the languages mentioned. Must have continuous input for 10-15

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    Application to recognize damage and parts in a car accident. using python and tensorflow. Result: API/Json

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    I need code ti upload on esp32 cam ti recognize birds without internet connection

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    ...play autonomously! Machine Learning should be used to play the game "Dirt 5." There should be 10 - 15 mins of continuous input where the car will try to stay on the tracks and go around the tracks. The goal is not to win the game but to simulate someone playing the game. If the car hits a barrier or another car or gets off track of the course, it correct itself and get back on track. OpenCV, TensorFlow and Keras should be used. No other deep learning languages. The requirements listed are all of the requirements. Other than that I am open. I believe the game is free for PC on steam. You can look at how the game is played on YouTube for more details: 1 Example: Here is an example video of another game being trained to play autonomously

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    implementation to C++(qt)/tensorflow (v2) and keras -- 2 Please message for further information 10AUD - 40AUD

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    I need a project written in Python Tensorflow, to make the recycling automatic and has a basic user interface. This project should use a big copyright free database of images to train models and predict. The project should be copyright free. I would also require powerpoint presentation file with 20 slides.

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    Pedestrian Detection using Deep Learning (CNN - TensorFlow) applying on Caltech Pedestrian Detection Dataset.

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    I need a project written in Python Tensorflow, to make the recycling automatic and has a basic user interface. This project should use a big database of images to train models and predict. The project should be copyright free. I would also require powerpoint presentation file with 20 slides.

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    Machine Learning should be used to test the game "Dirt 5." There should be 10 - 15 mins of continuous input where the car will try to stay on the tracks and go around the tracks. The goal is not to win the game but to simulate someone playing the game. If the car hits a barrier or another car or gets off track of the course, it correct itself and get back on track. OpenCV, TensorFlow and Keras should be used. No other deep learning languages.

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    We are seeking a developer to help develop a Proof-of-concept iOS application and framework for a computer vision project that will help users perform guided stretching exercises at their desks. We will use MediaPipe framework () along with OpenCV () to build. The library will eventually supp...library files and customer feedback on functionality. You must be willing to sign an NDA and Non-Compete agreement for this project, as it is required by our client. Please look at the attached development plan and reply with the following 3 things: 1. Post your estimated timeframe for completion 2. What is your experience with computer vision and related libraries such as MediaPipe/OpenCV/Tensorflow 3. What is your experience with Swift iOS native development

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    I want to get the Hello World Example working on a raspberry Pi Pico (running on micropython) The example and builds are on this page I would need a UTF firmware file that works. I have tried several builds from the GitHub page but none of them worked. I am using Thonny for accessing the device with Micropython.

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    I need someone who can help me to integrate a custom Tensorflow Lite Model in a Flutter App. The App is about Real Time Image Segmentation. And the model is from the Densenet Archtiecture

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    ...api documentation tool 6. Datadog - RUM as Cloud Scale Monitoring 7. Geo Location - ip-api 8. Stripe - Payment gateway 9. Postman - Api testing 10. Google Tag Manager - Tag Manager 11. Google Font API; Typekit- Font Script 12. Mapbox - maps for web and 4business. 13. Redis - in-memory data structure store 14. Smartling - Translation 15. Facebook for business 16. Mixpanel - Product Analytic 17. TensorFlow - Machine Learning 18. Bugsnag - Error Monitoring 19. Twilio - CaaS (Communication As A Service) 20. Mailgun - Transactionals Emails 21. Elasticsearch - Fast and scalable search and analytics Engine‚Ä® The blogs, or news pages, will embed it to the blog website TO DEVELOP: (We will provide basic HTML, JS, and CSS files) 1. Website Sections 1.1 Landing Page 1....

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    Provide high level architecture and guidance on Azure ML studio use cases, use case analysis, tensorflow, review process flows, provide design for storing ML data and surfacing in power bi

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    I use keras engine with tensorflow to make a model for Mlkit (which doesn’t support hebrew)

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    Any experience with ocr? I use keras engine with tensorflow to make a model for Mlkit (which doesn’t support hebrew)

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    ...reimplement/translate a small Python/Tensorflow command line app implementing a training based on data from a text file written with the Tensorflow 1 API and numpy into a Qt/C++ command line implementation using Tensorflow v2 and if needed / easier also Keras. Currently the implementation generates text files storing the trained weights and biases, this shall be replaced by storing the entire model in a Tensorflow HDF5 format that can later on be used by another Tensorflow inference implementation. The python implementation can be already found as an attachment. Have a look so you can get a better understanding if you can handle the job and how much work it will be for you. Note: The implementation of the Adam Optimizer shall be entirely replaced by th...

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    i am looking for Mobile Attendance App with face recognition and GPS locking with the following features: Mobile Attendance app with source code in ionic react, user login through Code-igniter frame work api Face Recognition using open source API like TensorFlow Accurate GPS Capture GPS lock (Clock-in or attendance allowed at specified location) Available in iOS & Android Real time Monitoring Track past location history Track Attendance record Ionic React Complete source code Back-end would be based on Code-igniter and MySQL. all the attendance data would be updated in MySQL DB of back-end application. Please note that Face Recognition API should be open source and to be hosted on my server. Again, i prefer to develop app in Ionic react platform.

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    5 years Experience querying databases and using statistical computer languages: R, Python, SQL, etc. Experience using web services: Redshift, S3, Spark, DigitalOcean, etc. Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modelling, clustering, decision trees, neural...Experience using web services: Redshift, S3, Spark, DigitalOcean, etc. Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modelling, clustering, decision trees, neural networks, etc. Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, Gurobi, MySQL, etc. Should know the following frameworks: TensorFlow, PyTorch, Caffe, mxnet, Keras an...

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    This code [] needs to be executed on texts for binary sentiment classification.

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    I have got two python project on websocket and tensorflow model. each of the projects runs perfectly. I need to integrate the two projects. It is almost done, somebody is on vocation, I need it done Asap.

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    ...of the Burg Giebichenstein University of Art and Design and another computer scientist. For the implementation of the project the Deep Learning FrameWork 'PyTorch' will be used and if possible existing code repositories will be used. What we expect from you: -> good knowledge of the Python programming language. -> Experience in machine learning and the use of deep learning frameworks (e.g., TensorFlow or PyTorch). -> Basic knowledge of 3D representation forms (e.g. voxel representation, meshes..). -> Friendly and communicative manner -> Ability to work independently What we would also like to see: -> Confident handling of the deep learning framework 'PyTorch'. -> Experience with the implementation and training of Generative Adversarial N...

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    We require remote support to resolve TFLITE model error and ongoing technical support. We are hitting errors when running a tflite model on a coral ML device. Access will be provided into the environment for troubleshooting. A playbook is required to enable the team to resolve this error in the future. Remote support will be via a Zooms call. Linux commandline experience is required.

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    I am looking for a programmer to complete the following: Develop a AI assisted objection detection labeling program that runs on Raspberry PI with Coral accelerator. I will pre-train a simple object detection model and load it into the software you build (tensorflow lite). I should then be able to upload photos into the program and run the model to detect objects in the photos. Afterwards, I should be able to review the photos labels to determine if they are correct or require adjustment. The system should work similiar to I would like to consider using as the baseline labeling framework. The solution must be able to handle various projects, models, and include a GUI. If you have other suggestions for self hosted

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    I need to create a standalone tool that can remove the background from the images. You need to have high-end TensorFlow expertise to devise a script (which will be web-based) that can remove the background of the supplied image. So it will be a 2 step process tool. 1- Detect the focused/target object within the image supplied 2- Remove background from it Please only apply If you have high-end TensorFlow expertise. Mention 'TensorflowGuru' at the start of your bid so I know you have read the project description. Details about this project will be discussed within the chat.

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    Help installing Tensorflow Object detection with all necessary environment and libraries on a Linux system. At the end, verify that all library are working with a simple object detection project.

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    I want to work on ISIC skin cancer classification dataset 1. Here we want to use novel GAN model for data balancing add dataset is highly imbalanced. 2. Develop a novel U-Net based architecture for image segmentation. 3. Develop a novel deep residual and skin convoluted or state of art architecture to achieve atleast 95% accuracy on ISIC17,ISIC...want to work on ISIC skin cancer classification dataset 1. Here we want to use novel GAN model for data balancing add dataset is highly imbalanced. 2. Develop a novel U-Net based architecture for image segmentation. 3. Develop a novel deep residual and skin convoluted or state of art architecture to achieve atleast 95% accuracy on ISIC17,ISIC18,ISIC19 and ISIC20 dataset coding to be done using tensorflow and environment is preferably Google...

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    Proficient with object-oriented and scripting languages: Python Familiarity in building and deploying machine learning models Familiarity in DL frameworks like Keras and Tensorflow. Experience in tuning ML models. Design and implement machine learning, information extraction, probabilistic Kafka,Storm will be a plus. Time Series will be a plus.

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    ...freeing them up from mundane and time consuming tasks. Website: Sr. AI Engineer : 4+ yrs Experience Work Location: Baner, Pune Job Description: · Do intensive Data analysis and create training and validation data sets · As an AI Engineer, you will design and implement machine learning solutions for customer use cases, leveraging core Google products including TensorFlow, DataFlow, and AI Platform. · Design, implement and support highly scalable solutions support various initiatives in Retail marketing. · You will work with product managers and architects to identify opportunities to apply machine learning in their areas · Assist in deploying models · Investigate and resolve performance issues in a timely man...

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    Hi, I need a Neural Network that accepts multiple inputs and has multiple outputs. The feed forward network input and output data will be large array of integers. The training set for back-propagation will consist of about 1000 arrays of ints for input/output You can use Python, Java, C, C++ or C# however no 3rd party libraries can be used. No sklearn No tensorflow No scikit-learn etc... please

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    Dear all I am looking for someone who can complete an assignment for my data science class. You should build a CNN to classify handwritten digits from a given data set using tensorflow or keras. An accuracy of 97% is needed. A skeleton code is provided. Furthermore, I got the solution from last year but it needs some changes (of course I provide the completed and accepted solution from last year). Current skeleton code can be found in the appendix. much appreciated your help

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    Hi sir/madam I have a signature of a tensorflow (2.1) sagemaker model aws lamda call aws publicly exposed on amazon RESTapi as such: signature_def['serving_default']: The given SavedModel SignatureDef contains the following input(s): input_name1 dtype: DT_FLOAT shape: (-1, 1) name: serving_default_input_name1:0 ..." and so on Pls let me know if you can make predict and thus the call I will award. I am looking for long term partnership if this delivery is succesful.

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