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    The project is about classification of the time-dependent functions of the network traffic parameters by certain shape patterns. Metrics should be devised that will ensure high values of major performance paarmeters for the chosen ML/DL setups. Python experience with Jupyter Notebook is crucial.

    $258 (Avg Bid)
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    K_Fold cross validation 6 days left
    VERIFIED

    I do have code that is working fine. I just need to add K fold cross validation in this code. The file is attached here.

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    DEEP LEARNING EXPERT BIOINFORMATICS Deadline: 2 days

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    We wish to build a solution somewhat like this The scope of this project is to come up with a design - not to build the the solution. Some key pieces of information 1. In the video the recognition is occuring quickly on device. The design them must allow for the recognition to occur on device without internet. We do however want the accumulated learing of recognising products to update the recognition engine for all users 2. We work with AWS so are happy to use AWS techmology, Google technologies or indeed other providers 3. The client device could be Apple or Android To reinforce the scope of this project - come up with a design for the solution. How does the engine get trained? How do we do recognition on device? How do we update the engine for all devices for tomorrow ba...

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    1st user upload fish with coin 2nd camera detect quarter coin reference size 3rd The user moves the circle/lines to the ends of the fish and a digital measurement appears on the screen.

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    lyes text mining, CNN, RNN, LSTM, SVM, NB, Random Forest, Compare which is the highest accurate, and which method correctly predict

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    We have an attendance application based on mobile apps with facial recognition mechanism. Due to server capacity reasons, We don't enable facial recognition function, but when attendance process occurs, We saved image for each timesheet process. Face verification process is carried out in the back process or pending verification. In a month we have more than 300,000 face data. But during the verification process after we checked manually, the library we used could not display data with high accuracy. Fake methods are widely used, such as using photos and videos for the attendance process. Then there are also the challenge that the photos from the attendance process are not all of good quality, because the mobile devices used for attendance are very diverse. Maybe FaceMe can help us wi...

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    Hi, I'm urgently looking for someone to help me in doing a project in object detection using transfer learning approaches. The project should be implemented using tensorflow V2. At the moment, someone who has prior knowledge in this field can reach me. Thanks Note that for one to be awarded this project, i will be looking at the testimonials of the previous works in this field

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    Need to setup tensorflow on my A 2000 Nvidia GPU and run mark r CNN on the local system

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    I need this for my research purpose to show the performance evaluation between CNN and DNN

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    Hello, I am searching for someone who has experience working in Machine Learning and implementing models like ANN, CNN, etc. I looking for someone who can take the challenge of developing models for Multivariate Time Series Stock Market Data using Machine Learning (CNN). Uploading a research paper for your reference, a similar kind of work implementation is required.

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    I have designed my feed forward Neural Nets , regular one for a regression problem. I got satisfying results. Now, I want to design Radius Basis Function Neural Network . I need someone who is experienced in that to help me see the performance of RBFNN. More details will be provided later. Thank you.

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    Want to have Trained Human Skeleton Detection Model that use to specific to detect people body skeleton joints points, and Inference real time reading joints points 3D values (X, Y and Z) using web camera. Training Model specifically to detect human body skeleton joints. Prepare Data collect pictures for processing Dataset and training the Human Skeleton Detection Model. Trained Human Skeleton Detection Model can inference works with C# WPF program PC using web camera. Created C# WPF program to display the video user, drawing skeleton joints and labels to display joints, X, Y and Z values. 1. The trained model must easy for regular PC, CPU to run. 2. Does not required high-end GPU, high RAM PC...etc. 3. Able to Reading skeleton joints correctly, reliable reading, without h...

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    AI auto generating content 3 days left
    VERIFIED

    We need you to create an auto generating image/video like in the mobile app called starryai. Please check this video : a. Do you have the skill to make an auto content generation ? if so, can you do for video or image ? or both ? b. Do you know any kinds of automation skills ? c. Would you agree to make about 1,000 contents for $5 ? we need millions of contents.

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    Remote Sensing Machine Learning require lot of labelled training data. We intend to use GANs ease this requirement by creating synthetic training data.

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    you have to extract text from the handwritten text prescription

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    Looking for readymade cross platform Client/Server based Face Recognition system by .net

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    For the video game engine, Unity needs to implement an algorithm from paper that generates video to 3D holograms and executes it in the video game engine. Need developer with Video Game development experience (Unity). A link to the paper will be provided. I hope we can work together on an ongoing project and you can become part of a great team.

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    On NTU RGB+D Skelton Dataset we have to perform human activity recognition first cnn and then cnn+lstm model. All things are required from preprocessing feature extraction and further things till final action recognition.

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    Hello! I have a small project. I need to plot attention weight heatmap in LSTM model built from tensorflow keras. I have already LSTM code work perfectly and dataset. You only need plot attention weight heatmap with train, val, test data in 2 types like 2 sample graph images I attached below. I already have sample github code to plot it but I have some trouble that I can't plot it in right way. Please check below link (examples/) Pls put "Attention" keyword on the top of your bid, will ignore your bid if don't have this keyword. Thank you!

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    DEEP LEARNING EXPERT BIOINFORMATICS

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    DEEP LEARNING EXPERT 2 days left
    VERIFIED

    Project Objectives: (a) To review prediction of deep learning method for sgRNA off-target propensity. (b) To model the prediction of sgRNA off-target propensity using CnnCrispr. (c) To measure the accuracy of the prediction model.

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    Machine Learning 2 days left
    VERIFIED

    Simulation based project to investigate machine learning techniques for spectrum sensing in Cognitive radio networks with moderate complexity and best performance metric. The idea is to allow more license users to use the spectrum for a certain amount of time for optimum spectrum usage because 80% of the time the spectrum is not used effectively,most of it remains the sensing will allow for unlicensed users to utilize the radio frequency spectrum for sensing will eliminate spectrum overcrowding which causes interference. The secondary users and primary users are not allowed to secondary users must sense the spectrum to check idle spaces in the spectrum to they can use it until the primary/licensed user occupies the same space and they have to vacate the spectrum to give priority to ...

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    Machine learning expert needed for Stock Market Forecasting Hello looking for Machine learning expert to work on Stock Market dataset dataset which we use from Kaggle

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    Deep Learning expert required deadline: 1 days

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    DEEP LEARNING EXPERT BIOINFORMATICS FIELDS

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    CFD source code: - go to supplementary code (ZIP 783kb) MIT source code: not found CNN_std source code: DeepCrispr source code:

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    We have some names of dishes. With our project, Internet should search for each dish's recipe, obtain five links, perform web scraping on each link, and with the use of deep learning model/ machine learning model it should classify each line in the webscraped data(1- if ingredient is there in the line, 0-if ingredient is not there in the line) for each of the 5 links and then we will feed only lines which are labelled as 1 to NER. NER will get list of unique ingredients and required quantity for each ingredient. So basically NER should label ingredients & quantity from each line. As of now we have webscraped data already for 240 dishes & manually labelled it as 1 & 0. Now we want to fit ML/DL model so that in future whenever new file is given it will classify lines in th...

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    CFD source code: - go to supplementary code (ZIP 783kb) MIT source code: not found CNN_std source code: DeepCrispr source code:

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    I want a passenger counting system for my public bus .The software should count all the passenger climbing on my bus throughout the day and give a reading at the end of the MUST COUNT EVERY PASSENGER ONLY ONCE(it is very important).I have a wifi cctv camera installed on the bus overlooking the only based counting would not work as the helper often stands at the entrance.

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    We are looking for a developer of an AI incl. ML and DeepLearning for our data system.

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    In the medical eld, it is essential to predict diseases early to prevent them. Diabetes is one of the most dangerous diseases all over the world. In modern lifestyles, sugar and fat are typically present in our dietary habits, which have increased the risk of diabetes. To predict the disease, it is extremely important to understand its symptoms.

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    ML trainer 2 hours left

    We are looking for ML trainer on hourly basis.

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    Machin learning trading 2 hours left
    VERIFIED

    Hello Freelancer community We are looking for ML expert with trading experience to join our team Our proprietary strategy had great winning rate. we want to optimize Stop lost and Trailing take profits to get even better results if its possible .... Our main objective is to train our models based on the historical data and use on chain metrics, as well as other exogenous data like trend (emas) , momentum(macd) ,pattern detection and volume (VWAP ) indicators Then we select the signals based on the best risk-reward ratio to be executed by bots probably use NEAT: Neuro evolution of augmenting topologies but open to proposition. We want to receive your hourly rate hour on bids.. no surprise We have created a task list to start quickly with our dev team. We need 10 to 20h ...

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    speech recognition 73 days left
    VERIFIED

    deep learning, artificial intelligence to recognise voice from 30 seconds of audio and regenerate the same voice, same accent, same pitch and same audio quality to fit into statements in existing audio files. 2 voice samples will be provided. written text must be converted into perfectly same voice and save the file.

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