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    109 lstm underfitting jobs found, pricing in USD

    I am surveying on a topic Software Cost Estimations with Machine Learning models. And I came to know that LSTM can be used to predict time series/schedule for a software project from an open dataset. Can anyone please explain to me how this can be achieved?

    $158 (Avg Bid)
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    13 bids

    I need someone to train an LSTM model for me for crypto market price predication. The model should be able to predict the price/trend of the price in the next x time (e.g. 30 minutes) using the data for the past y time (e.g. 6 hours). Getting a probability of price movement would be nice as well. The model should be multivariant and be able to accept

    $152 (Avg Bid)
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    16 bids

    Feature selection via [login to view URL], Then compare all machine learning algorithms like NB, SVM, ANN with LSTM performance. All implementations must be coded in Phyton via Keras platform

    $38 (Avg Bid)
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    8 bids

    We are running a sales prediction model by external variables, such as weather and etc. Currently, we are using Time Series, XG Boost Model and LSTM - RNN Models. We only know how to run the model from api on amazon aws sagemaker (Python). But we are lacking of experience on tunning the model and selection of correct algorithms. Right now, we need someone

    $85 / hr (Avg Bid)
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    31 bids

    Feature selection via word2vect tool; [login to view URL], Then experiments with lstm nw structure to find the most enhanced version

    $90 (Avg Bid)
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    2 bids

    Currently, we are building an RNN(LSTM) Model to predict sales. But model is not working well, and we are trying to add modules to improve the forecast accuracy. We need an expert on machine learning to give us some advices. We prefer to talk with you over the phone directly. Thank you!

    $55 / hr (Avg Bid)
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    30 bids

    ...knowledge in machine learning to help me set up an algorithm for stock price prediction and predict if a stock will go Up or Down. Technology: Python using Sklearn module, RNN, LSTM or similar ( Preferred ) Experience using hyper parameters - like Adam Optimizer. H2o (automl) ( [login to view URL] ) I will

    $622 (Avg Bid)
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    ...looking for an expert who has some deep knowledge in machine learning to help me set up an algorithm for stock price prediction. Technology: Python using Sklearn module, RNN, LSTM or similar ( Preferred ) I will deliver : Sample Code to Download Data Technical Indicators Code Calculation. The person should be able: Setup whole machine learning

    $757 (Avg Bid)
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    29 bids

    ...looking for an expert who has some deep knowledge in machine learning to help me set up an algorithm for stock price prediction. Technology: Python using Sklearn module, RNN, LSTM or similar ( Preferred ) I will deliver : Sample Code to Download Data Technical Indicators Code Calculation. The person should be able: Setup whole machine learning

    $550 (Avg Bid)
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    18 bids

    I am getting an error in keras for a stacked lstm model.I am attaching the file below please see the error once before bidding once accepted you will have to work with me on teamviewer to resolve the error.

    $225 (Avg Bid)
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    2 bids

    Hybrid Lstm with feature selection is achieved by SVM

    $200 (Avg Bid)
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    1 bids

    Hybrid Lstm with feature selection is achieved by SVM/ANN

    $350 (Avg Bid)
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    1 bids

    ...Classification. The main description can be found in this StackExchange Post actually: [login to view URL] You can also find a previous version of it in this Jupyter Notebook: [login to view URL] If you can point me towards

    $208 (Avg Bid)
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    ...but they don't seem to work either). I expect the problem to be easy for someone more or less experienced, and so would be really really thankful if the final code had an LSTM architecture instead of the normal one I'm using now. I have some other Deep Learning projects I need help with also, so if you can nail what I'm doing wrong here, be sure that

    $182 (Avg Bid)
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    12 bids

    Needs: * Do another version of my work with AT-LSTM (I already used LSTM with 3 layers) Use the existing data prep. * Do a report to compare both approach (my existing model and the new one). -- Code done with python (Keras lib) -- I have datasets (train - test set) and my actuel accuracy is 67% -- I'm using Jupyter notebook.

    $145 (Avg Bid)
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    19 bids

    I need to find a great PhD student in Machine Learning. Roughly, I need the person to have a very good experience with Neural Networks (RNN and LSTM essentially) and time series problems. A good experience with reinforcement learning would be great, but not a necessity.

    $25 / hr (Avg Bid)
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    25 bids

    I need an article of about 7-8 pages in scientific format. The main goal is to forecast some economic data (like exchange rate) using Recurrent Neural Networks - Long Short Term Memory. The soft that must be used is Matlab. The most imoortants aspects are: originality (it will be published), a minimum new idea(model) implemented and Refferences. Thank you.

    $150 (Avg Bid)
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    I need you to explain a machine learning code in jupyter notebook on python 3 using tensor flow backend and lstm model

    $158 (Avg Bid)
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    24 bids

    I'm facing a problem in the implementation of my project which involves extracting features from audio data and identifying emotions from it. Bid below if you've worked on LSTMs before, and then I'll share the files with you in inbox. If you solve the initial problem, I'll give you more work regarding this project in the near future. Note: This application is web-based, and wo...

    $17 (Avg Bid)
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    1 bids

    ...Windows using Python. Enhancement of Lstm Algorithm Right now I have implemented LSTM via Keras environment and average accuracy is about 85% and I would like to enhance the accuracy by modifying Lstm algorithm. Please note that I do not plan to play with Nw architecture, but making something clever to get better Lstm What I have read is generally(most

    $100 (Avg Bid)
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    ...Windows using Python. Enhancement of Lstm Algorithm Right now I have implemented LSTM via Keras environment and average accuracy is about 85% and I would like to enhance the accuracy by modifying Lstm algorithm. Please note that I do not plan to play with Nw architecture, but making something clever to get better Lstm What I have read is generally(most

    $50 (Avg Bid)
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    1 bids

    We have a model which run LSTM and other things to predict the price of stock and crypto for a next day. We have to increase its accuracy using Sentimental analysis and Bayesian optimization a desire level. More details will be provide during discussion. Developer should have prior experience in sentimental analysis. This project required sound knowledge

    $507 (Avg Bid)
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    23 bids

    We have a model which run LSTM and other things to predict the price of stock and crypto for a next day. We have to increase its accuracy using Sentimental analysis, Bayesian optimization and reinforcement learning to a desire level. More details will be provide during discussion.

    $1107 (Avg Bid)
    NDA
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    26 bids

    load forecasting analysis based on LSTM RNN using pyhton

    $187 (Avg Bid)
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    17 bids

    Hey , so I need to transform this nn : [login to view URL] to ONNX format in order to train ...[login to view URL] to ONNX format in order to train and test it in the cntk environment I prefer that before the transformation we would use the built-in LSTM module in pytorch.

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    I need you to develop some software for me. I would like this software to be developed for Windows using Python.

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    9 bids

    ...equations regarding AI, statistics and historical data? Have you worked with Python and/or Matlab before? Do you have good knowledge of Machine Learning/AI/Neural Networks/LSTM/GRU and much more? Do you have good knowledge about trading and trading strategies, markets, pricebars, patterns and indicators? Do you have references of web applications

    $3641 (Avg Bid)
    NDA
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    I need you to develop some so...Windows using Python. Enhancement of Lstm Algorithm Right now I have implemented LSTM via Keras environment and average accuracy is about 85% and I would like to enhance the accuracy by modifying Lstm algorithm. Please note that I do not plan to play with Nw architecture, but making something clever to get better Lstm.

    $27 (Avg Bid)
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    5 bids

    looking for some one with these skills : 1. Machine Learning 2. Deep Learning 3. RNN 4. CNN 5. LSTM You will be building a neural network with me. The most challenging part is hyper parameter tuning. It involves Natural Language Processing. I will provide the compute resources on AWS. So Knowledge with AWS will be a plus. Only apply if you have done

    $149 (Avg Bid)
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    28 bids

    Help with building, evaluating and using Keras models for time series prediction - multi input (LSTM/RNN etc)

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    14 bids

    Looking for help on R Programming to deve...to develop Time Series models. It will be individual contributions to develop predictive models, where for specific data set, need to build models in Prophet, Naive, Arima, LSTM etc., Need to include holidays as external regressors. Will provide sample data for these sales channels to enable the prediction.

    $36 / hr (Avg Bid)
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    Overfitting LSTM model task for Francisco

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    I need a PhD student or having a PhD student to train my LSTM model. I got 93% accuracy on the training set, but 40% accuracy over the test set.

    $30 / hr (Avg Bid)
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    17 bids

    I need you to develop some software for me. I would like this software to be developed for Windows using Python.

    $58 (Avg Bid)
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    9 bids

    I need the best freelancer in machine learning to train with me a ML model for time s...get good predictions. So now I need the best of all in ML and with time series forecasting. I am essentially working with Tensorflow and Keras. You will be able to see the LSTM model in Model.zip. Please read and understand the code before bidding on that project.

    $28 / hr (Avg Bid)
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    23 bids

    we extract the compressed domain inforamtion form HEVC encoded video (UCF dataset), and we want to do action recognation on this dtat with deep learning (3d cnn and/or LSTM) and Keras is needed. also access to GPU and server can be provided. and datae becomes ready the acurecy have to be passed is 80% . bests

    $225 (Avg Bid)
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    This is a very simple problem, I'm looking for someone with experience with LSTM or any other algorithm (like it could be XGB / Random Forest) in order to improve the performance of a deep learning network. Dataset: 520,000 records. Attached to this project, you'll find the sample & training data + the script which is already created. The main goal

    $193 (Avg Bid)
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    21 bids

    I need you to develop some software for me. I would like this software to be developed for Windows using Python. Lstm Network implementation for twitter data sentiment analysis,but feature engineering must be done via 1D convolutional neural networks; preferred environment is keras on tensorflow

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    ...week) These posting might come under the keywords: computer vision (CV), OpenCV, Convolution Neural Networks (CNN), Recurrent Neural Network (RNN), Long Short-Term Memory (LSTM), Object detection, face detection, object tracking, vehicle detection, chatbot building, speech recognition, machine translation, Machine Learning (ML), Deep Learning and Artificial

    $259 (Avg Bid)
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    I have a LSTM model, but it is not finish yet. I need you to finish it. 4 little tasks : 1- Create (and clean) a single class with the appropriate class methods 2- Organise the train/test by date range instead with % (e.g. 70% / 30% ). I just want you to give me the option to manipulate the date in both ways. 3- Integrate influxdb. That task work

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    1- Connect the save autoencoder (Only the encoding part) to my RNN ( LSTM) model 2- I want to analyze the result directly in the Tensorboard. So just give similar plots and tools similar to the first task 3- Saving the parameters (i.e. weights and biases)

    $95 (Avg Bid)
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    10 bids

    ...Datacamp) and beside this I would like to boost my learning with an expert who is able to teach me with real life project/deployments (frontend, backend web)using XGBoost, ResNet, LSTM , etc. I believe a freelancer with a lot of projects about ML is the perfect [login to view URL] there are some questions that come up, regarding the logic, or I just want someone

    $13 / hr (Avg Bid)
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    8 bids

    Implement a decoding part on my actual Stacked Denoising LSTM autoencoder. There is an encoded part and it works pretty well, but I want a decoding part to have an efficiency plot on Tensorflow. I will give you $100 - Non-negotiable. This is a pretty easy task.

    $23 - $193
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    0 bids

    I have a database with 90 mi...verify if the standard deviation on the midprice is greater than 0.05 before passing it to the autoencoder. So your task is to insert the logic of [login to view URL] into my stack denoising LSTM autoencoder. I will guide you before starting the task, and show you the most important things to know about the task remotely on my server.

    $154 (Avg Bid)
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    Hi Yongtao, I am interested in timeseries prediction, possibly with an LSTM and preferably implemented in python (for instance with keras). Let me know about your availability, thanks

    $100 (Avg Bid)
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    Hi Yongtao, I am interested in timeseries prediction, possibly with an LSTM and preferably implemented in python (for instance with keras). Let me know about your availability, thanks

    $100 (Avg Bid)
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    1 bids

    Connect InfluxDB database to a Stacked Denoising LSTM autoencoder instead of using a CSV file

    $76 (Avg Bid)
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    2 bids

    I will...Denoising LSTM Autoencoder. I am asking you to make that model work with the different feature data I will provide you and construct a graph that will show me the MSE according to the time. You will allow me to save the relevant part of the autoencoder once it is well trained so that I can use it for me supervised learning model (RNN + LSTM).

    $169 (Avg Bid)
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    run python prediction modeling code , to get result , need fast machine to perform it very fast ARIMA and LSTM

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    LP detection LP segmentation LP recognition deep learning, CNN, faster rcnn, LSTM, BLSTM Tensorflow, caffe, matlab

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    20 bids