Tensorflow predicttrabajos

1.) Learning Navigation Behaviors End-to-End with AutoRL() 2.)Implementation of hierarchical reinforcement learning (:~:text=Definition,have%20multiple%20levels%20of%20hierarchy.) I have attached my environment

I am looking for someone masters python and tensorflow package for computer vision and image processing. The task is to do visualization and segmentation coding on Visual Studio Code which requires a virtual environment for the libraries which are need to be used. It is an exercise to guide me through the steps with python and tricks to make it run. If you would be an expert, it should not take more than a couple of hours to build it up. So I would assume 5 hours maximum including your walk through and help me to understand and run your code on my mac machine (visual studio code, ...)

i have a dataset of about 500 million domains and I need an ai tool that will: 1. predict the page URLs from the domains based on an input query, 2. output the page URLs that matched the input query, for example, ... - if the dataset consists of and and then i enter 'hate speech' in a form, - i want the ai tool to check which of the domains have /hate, or /speech, or /hate-speech, or /speech-hate is this doable and if yes, what'd be your budget and delivery?

i have a dataset of about 500 million domains and I need an ai tool that will: 1. predict the page URLs from the domains based on an input query, 2. output the page URLs that matched the input query, for example, ... - if the dataset consists of and and then i enter 'hate speech' in a form, - i want the ai tool to check which of the domains have /hate, or /speech, or /hate-speech, or /speech-hate is this doable and if yes, what'd be your budget and delivery?

I...can test my Windows desktop app remotely via I will give the session code so you can navigate my PC that will run the app. The test will only involve navigating the app and observing the output on the monitor. You will score the app and give feedback based on what you observe. This is a very simply app with few buttons. The app analyzes videos to predict scenes and objects like human figures, animals, vehicles etc. It prevents login if it detects high-risk conditions like presence of vehicles, crowd or animals. The successful bidder should be willing to sign the evaluation form that I will provide. Examples of the feedback include your opinion about the usefulness of the app and whether you find it useful in your organization, among others.

i have a dataset of domains and I need an ai tool that will: 1. predict the page URLs from the domains based on the input query, 2. output the page URLs that matched the input query, for example, ... - if the dataset consists of and and then i enter hate speech in a form, - i want the ai tool to check which of the domains has /hate, or /speech, or /hate-speech, or /speech-hate is this doable and if yes, what'd be your budget and delivery?

...want to do sentiment analysis on IMDB movie reviews to figure out if a comment is positive or negative. To do so, you need to create a model using either traditional classification models or deep learning algorithms, to predict the number of positive and negative reviews. Your training accuracy should not be less than 87%, and the difference between training and test accuracy should not exceed 2.5%. By creating and implementing such a model, you would prevent overfitting your model. You may use plotting to check whether your model is overfitted (optional). Note: you cannot predict whether your model has overfitted by defining a difference threshold between your training and testing accuracy. In this model, we experimented that this difference threshold may show overfitting...

Create a function which makes a 2D graph with nodes and edges. Then build a GNN to approximate this graph! Must use tensorflow

i need a machine learning engineer or something of that nature ... for a generative ai project. the main task is to build and train a model that will predict whether or not a link exists on the internet and then extract certain information from the link. for example, ... 1. if I enter 'hate speech' in a form and hit enter, can we predict links that have the terms i.e. 'hate' or 'speech' or 'hate speech' or 'speech hate' i.e. 2. if yes, can we extract 'hate' from the link? what will be your approach? ps ~ no google or anything similar such as api is needed.

i need a machine learning engineer or something of that nature ... for a generative ai project. the main task is to build and train a model that will predict whether or not a link exists on the internet and then extract certain information from the link. for example, ... 1. if I enter 'hate speech' in a form and hit enter, can we predict links that have the terms i.e. 'hate' or 'speech' or 'hate speech' or 'speech hate' i.e. 2. if yes, can we extract 'hate' from the link? what will be your approach?

i need a machine learning engineer or something of that nature ... for a generative ai project. the main task is to build and train a model that will predict whether or not a link exists on the internet and then extract certain information from the link. for example, ... 1. if I enter 'hate speech' in a form and hit enter, can we predict links that have the terms i.e. 'hate' or 'speech' or 'hate speech' or 'speech hate' i.e. 2. if yes, can we extract 'hate' from the link? what will be your approach?

I'll implement the following article to create a movie recommendation website which uses API and databases, has to made and then deployed

I need help running this project mentioned in the link and hosting it on google cloud or Kubernetes

I have a mathematical model of linear regression made in Excel that predicts the results of the Brazilian index, it consists of several independent variables, so I thought it would be possible to create an automatic variable generator that would create machine learning models to predict the financial market, not only using linear regression, but using other approaches such as decision tree, XGBoost, etc... The idea would be: create a program, this program would read the OHLC (Open, High, Low, Close) of the input data, from there, generate random variables and test how they performed using different machine learning approaches. There is a program called StrategyQuantX, it creates strategies using technical analysis, I suggest you download a free trial of this program and see how it...

What do I want? (requirements) - A good ISI journal paper titled: "Proposed Machine Learning Enabled Framework to Predict Consumer Behavior in Retail Sector". - minimum sections: introduction, background, contribution, proposed framework, discussion, conclusion, reference. - use good reference ISI journal papers and Q1/Q3 journal papers. The main point is to cover all sections and make it an ISI journal-level paper and use the attached file as a guideline for the paper. Journal papers are usually between 7-10 pages if we are talking about IEEE format and the reference format .etc. I have attached a sample here.

I...can test my Windows desktop app remotely via I will give the session code so you can navigate my PC that will run the app. The test will only involve navigating the app and observing the output on the monitor. You will score the app and give feedback based on what you observe. This is a very simply app with few buttons. The app analyzes videos to predict scenes and objects like human figures, animals, vehicles etc. It prevents login if it detects high-risk conditions like presence of vehicles, crowd or animals. The successful bidder should be willing to sign the evaluation form that I will provide. Examples of the feedback include your opinion about the usefulness of the app and whether you find it useful in your organization, among others.

We need a freelance business analyst or data analyst to analyse our company data and with the given datasets predict our company's trajectory in a space of five to ten years

I want model or app or script which will make predictions of lucky jet game available on 1win site .We have to predict next round number that how much high it will go. And this number is generated using combining server seed and seeds of first three bets placed in that round and it is hashed in Sha 512. So if anyone can predict that number including required data collection or by api call then tell me.

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. Thermal imaging camera. Camera is connected via USB to the Jetson Nano (Ubuntu): - input image size 256 x 192 pixels; - each pixel is coded with one number - intensity within [0, 1]. For training, it is better to take an already trained neural network, add layers for resizing the image (at the beginning), and modeling the desired output (at the end). Preparation of a training sample for training. Here ar...

...to grow your range of skills and experience. To be considered, you **must** include answers to the following in your response: a) Please post links to past projects (ideally on freelancer.com) that showcase your prowess as Data Scientists and ML Engineers. (**REQUIRED**) Does your team have expertise in: b) CV? c) NLP? d) Chatbot development? e) Deep Learning? f) Reinforcement Learning? g) TensorFlow? h) PyCharm? i) Are you an individual or a team? (** only established teams, please **) j) How many hours per week are your team members available? (** must be at least 40+ hours per week**) k) Will your team members be prepared to run a desktop time tracker (e.g., freelancer, Hubstaff, etc., as directed by us) while working on projects? (**REQUIRED**) (Please note that if...

I need camera recordings for my app which will analyze the scenes and objects in the videos to predict if there are animals, people and other objects. You don't need to install my app. You only need to provide me the videos taken from your own webcam or camera phone. Tasks - Record yourself and your surroundings within approximately 10 seconds. You have to move the camera from one shoulder to another to capture your face & upper body and your environment. Do this during daytime when there is sufficient lighting. - You have to do a separate recording in each of these locations/settings: 1 - An indoor setting like your living space, bedroom or office where there are no other people. 2 - An indoor setting where there are two or more people. 3 - An indoor setting whe...

The job is installing and testing a python app on a Windows 64-bit compatible device. This requires a USB camera and computer that is dedicated for testing. The app will prompt...app. Major requirements: - Device should be comptible with Windows Pro 11 64-bit - Device must work with an external USB camera. - Fast Internet connection to download the app and its python dependencies - Knowledge in python and powershell because you will need this when installing the app. - You should be willing to share the captured videos with me. The app makes use of machine learning to predict objects and scenes, so the video recordings should be shared with me. - If you are a manager or group leader, that would be a plus. I would like to know your feedback about using the app in your organization ...

...Docker Image Version (latest by date) GitHub Release Date GitHub Workflow Status Downloads Downloads codecov Code style: black Join the chat at darts is a Python library for easy manipulation and forecasting of time series. It contains a variety of models, from classics such as ARIMA to deep neural networks. The models can all be used in the same way, using fit() and predict() functions, similar to scikit-learn. The library also makes it easy to backtest models, combine the predictions of several models, and take external data into account. Darts supports both univariate and multivariate time series and models. The ML-based models can be trained on potentially large datasets containing multiple time series, and some of the models offer a rich support for probabilistic

The file Download temperature records (in tenths of degrees C) for a weather station in nearby Brookville, Indiana from May 1925 through most of 2022. This data was obtained from the National Centers for Environmental Information (NCEI) within the National Oceanic and Atmosph...are 32600 unique dates in that window after excluding February 29th. Clean up your Table in Part 1 with kableExtra: to an external site. For the Local Linear Regression Smoother values Use the built in function loess() -- it works just like lm() -- span=0.5 or 0.75 works well for this plot You can use predict() on the fitted loess object to get the values for the plot

I have 6 months data of wall temperature, i need to predict the next six months data

Create a function which makes a 2D graph with nodes and edges. Then build a GNN to approximate this graph! Must use tensorflow

A csv file to analysis the default rate of hotel cancellation to predict the potential ID to cancel the booking .

I need to predict the World Cup winner/finalist using R. I need this by 10pm today. Predict World Cup winner by using simulations, anova, logistic regression, visualizations, random forest, etc

Hello I am looking for Tensorflow model that has as a input the voltage value of a battery and detects a specific waveform that a specific load applied to it . How much would that cost?

I have a data set which consists of 54 labels. need to predict the exact label for the input. input is also text.

Predict Diabetes in a patient with various classification techniques. All the relevant information and data is given in the following files.

Use Data mining to predict Diabetes in a patient using different classification techniques. Please go through the files below so you have a clear idea of what is required out of this.

What do I want? (requirements) - A good ISI journal paper titled: "Proposed Machine Learning Enabled Framework to Predict Consumer Behavior in Retail Sector". - minimum sections: introduction, background, contribution, proposed framework, discussion, conclusion, reference. - use good reference ISI journals papers and Q1/Q3 journal papers. The main point is to cover all sections and make it an ISI journal-level paper and use the attached file as a guideline for the paper. Journal paper usually between 7-10 pages if we are talking about IEEE format and the reference format .etc.

What do I want? (requirements) - A good ISI journal paper titled: "Proposed Machine Learning Enabled Framework to Predict Consumer Behavior in Retail Sector". - minimum sections: introduction, background, contribution, proposed framework, discussion, conclusion, reference. - use good reference ISI journals papers and Q1/Q3 journal papers. The main point is to cover all sections and make it an ISI journal-level paper and use the attached file as a guideline for the paper. Journal paper usually between 7-10 pages if we are talking about IEEE format and the reference format .etc.

In the normal snakes and ladders, the game is pure luck (the agent does not choose an action, just follows the dice). So I will require a modification to the rules where the player can choose how many states to advance, limited by the dice roll. In other words, if they roll a 3, then they can choose to advance 0, 1, 2, or 3 states. Instead I’d recommend depth-li...require a modification to the rules where the player can choose how many states to advance, limited by the dice roll. In other words, if they roll a 3, then they can choose to advance 0, 1, 2, or 3 states. Instead I’d recommend depth-limited expectimax, using an evaluation function (similar to a heuristic) to estimate the risk/reward of states at the depth limit. Lastly, you can use the NN to predict risk/r...

I have a object detection model of tensorflow working in dotNet and python script of text detection with modal. I would like it to work in python. object detection one. Version of *Python, *Opencv, *tensorflow. Input is a capture image from camera(probably with overlay), Output: cropped license plate, rectangle on original input image, license plate text It should be able to work on linux

...----------- tensorboard>=2.4.1 # wallb # clearml # Plot ------------------------------------ pandas>=1.1.4 seaborn>=0.11.0 # Export ------------------------------------- # coremltools>=6.0 # CoreML export # onnx>=1.9.0 # ONNX export # onnx-simplifier>=0.4.1 # ONNX simplifier # nvidia-pyindex # TensorRT export # nvidia-tensorrt # TensorRT export # scikit-learn<=1.1.2 # CoreML quantization # tensorflow>=2.4.1 # TF exports (-cpu, -aarch64, -macos) # tensorflowjs>=3.9.0 # export # openvino-dev # OpenVINO export # Deploy -------------------------------------- # tritonclient[all]~=2.24.0 # Tools -------------------------------------- ipython # interactive notebook psutil # system utilization thop>=0.1.1 # FLOP's computation # mss # screenshots # ...

What do I want? (requirements) - A good ISI journal paper titled: "Proposed Machine Learning Enabled Framework to Predict Consumer Behavior in Retail Sector". - minimum sections: introduction, background, contribution, proposed framework, discussion, conclusion, reference. - use good reference ISI journals papers and Q1/Q3 journal papers.

What I want? (requirements) - A good ISI journal paper titled: "Proposed Machine Learning Enabled Framework to Predict Consumer Behavior in Retail Sector". - minimum sections: introduction, background, contribution, proposed framework, discussion, conclusion, reference. - use good reference ISI journals paper and Q1/Q3 journal papers.

We would like to be able to model gas flare combustion, with the goal of being able to model / predict the quantities of pollution including unburnt methane and CO2 released into the environment, in realtime during operations. Modelling various changing parameters, including; - Varying gas composition - Varying added air % to mix - Varying exit velocity / pipe ID - Varying environmental, wind temperature effect

About this dataset The contains data on popular Spotify songs and artists, as well as information on artist followers and song genres. This data can be used to predict artist s success and song popularity How to use the dataset This dataset can be used to predict an artist's success on Spotify. The data includes features such as the artist's name, genre, popularity, number of followers, and release history. The data can be used to understand the popularity of different genres of music, as well as to predict an artist's success on Spotify Research Ideas Predict the popularity of future Spotify releases. Identify new and upcoming artists likely to achieve commercial success. Understand the popularity of different genres of music on Spotify. This is...

About this dataset The contains data on popular Spotify songs and artists, as well as information on artist followers and song genres. This data can be used to predict artist s success and song popularity How to use the dataset This dataset can be used to predict an artist's success on Spotify. The data includes features such as the artist's name, genre, popularity, number of followers, and release history. The data can be used to understand the popularity of different genres of music, as well as to predict an artist's success on Spotify Research Ideas Predict the popularity of future Spotify releases. Identify new and upcoming artists likely to achieve commercial success. Understand the popularity of different genres of music on Spotify. This is...

I need someone advanced in programming to write me code for ML in trading view to predict future volume, RSI, and or/ MACD

...this code works. Can you explain what is the relation between x_input, y_input, input-var I made and the predicted output. Why the output is just one value and why does this program also work with y_input 5 values versus 1. So basically, how does this program work and how can I use a program like this for predicting a sequence of numbers? import keras import numpy as np import logging import tensorflow from import Dense from import Sequential # if __name__ == '__main__': print('PyCharm') x_input = ([[1, 2, 3, 4, 5]]) y_input = ([[4]]) model = Sequential() (Dense(units=32, activation="tanh", input_dim=[1], kernel_initializer='random_normal')) (Dense(units=1, kernel_initializer='random_normal')) model

We have a model to predict when a patient needs to be admitted to the ICU, but we need someone with strong programming experience to do the replay of historical data through the model.

Hello everyone! We want to predict and make Recommendation using Python.

I'm using the free prediction building and would like a statistical modelling expert who has experience using Einstein Predictions to help me predict when something will happen. I have millions of records and each month 100k + of outcomes records so I'm expecting a highly accurate model. Please do not message me if you haven't read this brief and if you don't have the relevant experience.

...explain how they did it. Using a dataset ( the "Adult Data Set") from the UCI Machine-Learning Repository we can predict based on a number of factors whether or not someone's income will be greater than $50,000. The technique The approach is to create a 'classifier' - a program that takes a new example record and, based on previous examples, determines which 'class' it belongs to. In this problem we consider attributes of records and separate these into two broad classes, <=50K and >50K. We begin with a training data set - examples with known solutions. The classifier looks for patterns that indicate classification. These patterns can be applied against new data to predict outcomes. If we already know the outcomes of the test d...

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

Hi Experts, I have trained a few models, I need you to do the following: 1.) Make live predictions given a new test set. N/B: The new test set does not have the features in the training set. The features were created using preprocessing and feature engineering. 2.) Preprocess the new set to same shape as Xtest (using the existing codes) so you can do (1) above. Budget: $15 Timeline 1hr Codes attached