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Hi, I need someone to write a computer vision application for pattern recognition. The classification is based on color i.e. images that have the color "BLUE" and "ORANGE" are "good" fit and those that do not have them are "bad" fit The app needs to go through approx 500 images (screenshots) daily rank them as “good” or “bad” and save them in the respective folder. At the end of each scan, it should produce a small txt file report with % for each of the screenshots scanned (e.g good 10%, bad 70% , unknown, etc) You can find the sample good and bad images on this link In order for me to make sure you have read and understood the requirement I will only consider bids that start with the code word "Carrot" In your...
I need someone skilled who has worked in machine learning applications before on MRI data To build a brain disorder diagnosis using preprocessed structural magnetic resonance images from the ABIDE suite, manually extracted features and automatically extracted features are combined in the diagnostic process and some demographic information is taken into account. An example of the work :
Building and training Stacked LSTM Autoencoder model using a multivariate dataset to predict an output. The code should be written with Pytorch library, not Keras.
I need help for Deep Learning model
An algorithm for trading crypto currencies has been implemented. Your job is to change the variables to improve the output and incorporate how to add other algorithms to the solution. We will provide you with the exact requirements that we are looking for. Points to Note: 1. We are currently using the Q learning, PPO and other main algorithms 2. We have data from about 12 crypto coins, the main ones primarily include Bitcoin and ethereum. 3. The data ranges from 2013 upto 2020. There is no consensus currently on how much training should be used for the bot (trading agent in our case ) to mature. We have run the algo at about 200 epochs and that is sufficient to mature it. 4. The code is purely in Python In summary: the goal is to implement reinforcement learning to make an automatic tr...
I need someone who can connect the ML model created for translation with a simple front end(Web app would be better). I have the model trained on the dataset 5000 parallel sentences (Singlish->Sinhala). The interface should have Input-> Singlish sentence (Language 01) Output -> Sinhala Sentence (Language 02) (Check the attached image) The output should be generated based on my ML model(The developer need to connect the interface to the python model).When we give a Singlish sentence as input it should be translated to Sinhala. I will give the python file and the dataset(parallel corpus) of the model .
I need help and guidance with the simulation of the Graph Neural networks and State estimation from scratch.
** Scope ** This context is to find the best approach to solving below problem. Please read all notes carefully before start working. ** Problem Statement ** Find root and stem part of the plant in picture. Measure size of detected parts with best accuracy possible. All photos will be of same plant category. All photos are taken in a controlled environment. Either camera location is fixed or a ref object will be available to calculate measurement. ** Expected ** Detailed description on how to approach this problem statement. What algorithm to use for which part of problem statement. How to achieve the final result. This should include the nature of input/training data/labels expected, etc. If different algos are used, details of them and how they are connected and the purpose served by ...
The aim of this project is to develop a novel mechanism to analyze bug reports and categorize them as bugs, support questions and change requests, generate a report with issue details, and assign it to a specific developer automatically instead of the manual process.
Hi, I am looking for an Expert in AI(ML and DL) with expereince in vehicle classification and count. Please bid only if you know the subject and having experience in the subject. Thanks
Hi, I need someone to write a computer vision application for pattern recognition. The app needs to go through approx 500 images (screenshots) daily and rank them as “good” or “bad” and save them in the respective folder. And the end of each scan it should produce a txt file report with % for for each of the screenshots scanned. I have images of the various patterns that should be taught to the algorithm initially and then after each iteration the accuracy should increase by selecting correct and incorrect assignment by the user. Ideally you should use some ready library for the core of the application. In your bid you need to describe what method you are going to use in order to be considered for the project.
you have to create a python code that can predict and print the next number in a series of pseudo-random numbers. you have to set the range of numbers from 0 to 27. Below are the sample - Sample 1 : [18,5,13,17,19,16,16,17,12,10,8,8,14] predicted next number: 15 Sample 2 : [17,8,14,4,13,20,11] predicted next number: 7 Sample 3 : [10,26,24,19,10,12,11,17,17,14,13,7,10,4,20,24,24,14,7,15,10,14] predicted next number: 6
I need a unique and explanatory and beautiful visualization for attached machine learning model. The visualization must be editable. I mean I can change it in anyways that I want. NOTE: I am aware of all the online visualization and software. I do not want to use them. Input of the model is an image.
I want a person who will write thesis on machine learning for several can see my remarks of my failed thesis proposal.
I have an upcoming machine learning project and need some guidance/teaching during the same. My experience in this field is limited and can use extra set of brain during the process. Looking for someone with practical experience in this domain to help. Brief: Object parts detection in an image and measuring size of various parts after detection.
I need developer experience with gpt-3 api, i will develop site like we will use the same api GPT-3, i am serious employer you can view my reviews, if you can make this project let me know.
I need to extract historical weather data. I have the longitude latitude and timestamp stored in separate columns: This dataset contains check-ins in NYC and Tokyo collected for about 10 month (from 12 April 2012 to 16 February 2013). It contains 227,428 check-ins in New York city and 573,703 check-ins in Tokyo. I need one more attribute "weather" that you can extract using longitude latitude and timestamp Weather in sunny, cloudy, or rainy
I need implementation in python or Matlab using a neural network... Given a comprehensive recommendation system, which has the aptitude to learn users’ long and short-term preference for the next Point of Interest recommendation. • Evaluate the model performance for both cold and non-cold start users together to overcome the data sparsity problem arise due to cold-start users. • Cold-start users are those with little historic data i.e. having little check-in records. • The probability estimation heavily relies on other users (non-cold-start users). • A combined technique will be used in this work to understand user check-in behavior at certain place and time learning contextual features of (POIs) and to mine long and short term user preference together . &bull...
We are looking for helping hand for research work due to overload of work. Candidate needs to be well aware of Computer Vision concepts. TASK BRIEF 1) So basically we are Building a Multimodel which takes both LIDAR and RGB data into the model 2) Output should be the Detected Road Segment. Please Refer to KITTI DATASET Platform for further query. Currently you need to search for best Model over Github Repo. And then will have to customize that repo according to our requirement. ADD the repo link so that we know that you have did the research on this TOPIC. Thanks
We need two full time resources to work on image recognition project Project: Patient Diagnosis image will be send to AI project, which will then check in backend database which has images stored. If a match is found then, results will be shared. Experience professional required with 5 years of experience. 100 hours on monthly basis. Should be available for calls. Resume will be required.
My project is intrusion detection system using grey wolf optimization algorithm in IoT. So, we basically need to do like a web based application as well with all the UI too. But, my super-visor said that my algorithm need to be compared to other algorithm to see the efficacy between two algo, but can you implement one more algo in the system so that we can see the comparison. so this is my project requirements is: 1. It has to have 2 algorithms Grey wolf optimization and another one maybe u can choose? so that we can compare? maybe compare it with ANT Optimization? 2. Must have User Interface to key in the parameter for the result to compare with one have a good efficacy on IDS, Project Objectives 1. To test the accuracy of Intrusion Detection System using the NSL-KDD dataset on four t...
I am interested to work on a long-term research project where I need to conduct a depth study to find a gap or modify method (Approach) in the area of Deep Learning optimization for the edge devices. I am planning toward research and publication. Please contact me if interested.
I have used Kaggle dataset for road detection for my Nvidia AGX Xavier, and completed the training. I need the outputs to be used in the jetbot (Jetson Nano) and a drone (pixhawk and ardupilot) for auto piloting. I prefer Gazebo or a drone gcs I have made before implementing on the actual land and air vehicles. So your tasks: to connect to sitl and actual drones, to set up on a control pc, cloud-app(raspi, jetson) Budget: USD 200 Terms: 1 week reference with instructions; skills: nodejs, java, spring, git, dl/ml, opencv
We are need to develop a deepfake website , you need to develop a website with fully functionals ,you need to give us the site runing create Deep fake part (deep learning part). a codid site that gets a video and a picture and returns deep faked video
Bonjour à tous, J'aurais besoin d'aide pour un TP d'études sur l'apprentissage par renforcement (reinforcement learning) dans le domaine de la data science. Un exercice sur la prédiction et un autre sur le contrôle, cela ne devrait pas être compliqué pour les personnes du domaine. Je vous laisse me dire si vous êtes en mesure d'effectuer cela à priori, je vous montrerai l'étude par la suite.