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Hi I need a function in python that randomly select sentences from an array list and create a synthetic data and provide count for generating as images. Need ASAP. Please bid inside the budget as it will be ignored outside the budget. Thank you!
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 to write a paper under deep learning concept. i have the experimenatal results with me and an abstrast. i need a 10-12 page report with all the necessary details and no plagiarism
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 have an (publicly available and already coded) pre-trained registration network that should be trained with dataset i will share(2 gb size). An another network will take registered two images and a reference image and fuse that images(HDR output).
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
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 minutes. Most have good code quality. Must co...
To have a deep learning network that accepts 4D low-resolution images and produces 4D high-resolution images. Project Objectives: 1- Get the 4D low-resolution images through running a degradation model on the ground-truth 4D images dataset by estimating various blur kernels as well as real noise distributions. Most current approaches rely on paired low and high-resolution images to train the network in a fully supervised manner. However, such image pairs are not available in real-world applications. Thus, the aim here is instead to learn super-resolution from unpaired data and without any restricting assumptions on the input image formation. 2- Use GAN (Generative Adversarial Network) framework to perform the up-sampling within the network using transposed convolutions. The aim here is f...
We are looking for complete solution like colossyan or yepic but not a SAAS model. Only apply if you have worked with similar projects, rest details we can discuss on chat. Timeline 2 months for first prototype.
This is the dataset having ECG recordings. I want you to create 10s strips for big recordings. Each stip should be labeled as per the bits in it. Like whether it is AFIB, Normal or Other class
I have thousands of pdf which contains map image. I want to make tool which extract only map part as a image file from pdf. Finally when I select pdf folder , the tool needs to generate images from pdf to a certain folder. Please check screenshot. NOTE: Result image should only include map part. No other sections or borders are allowed. Budget:500
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.