Deep Learning Jobs

I want a big dataset of drone images With it's reference.

writing a report 4 pages , ppt and code in (Full Resolution Image Compression with Recurrent Neural Networks)

make the python part works. reproduce the results

Looking for machine learning expert who can help me to complete this task which is game deadline is 2 days 18 may 90$ is budget

I want someone who has expertise in deepfacelive set up to take up this project to create custom model, I have almost explored deepfacelab to create dfm file but I might have few steps in the process so I want someone who has expertise in create custom models to take up this project

Please also tell me if this functionality can be performed is it possible or not? Also, bid freely if you really know how these can be performed you have to join a meeting and discuss with us at zoom. Following functionalities: Recognition of person with his writing Train this model on adding the data of new user. Image to Text Converter and converted data can be downloaded into word or pdf format Image to table Converter and converted data can be downloaded into excel format.

Ref Use the above sample code as the base for the training, dataset will be provided.

Use 5 different models and train all the models with the same dataset and analyze which is the best model based on the accuracy. Each model should be able to detect mask on photos and web camera videos and also show the graph for the model. The dataset contains 3 classes 1. with mask 2. without mask 3. incorrect mask This project is not like submitting the work after done but help me do the project with me.

Analyse the accuracy with developed models with deep learning- # of persons wearing a mask

I have a one dataset on time series.

Looking for a mentor who can create 2 Advance level projects on AI. These projects are screen recorded videos with a total duration of 16-17 hours

Looking for a mentor who can create 2 Advanced level projects for AI for a total duration of 16-17 hours

I need to fine-tune two different pre-trained wav2vec 2.0 models. The model should be fine-tuned for both Hungarian and Turkish languages (separate models). The main dataset will be CommonVoice and models should be integrated with the n-gram language model. And well commented ( short documentation ) is needed. Deadline: 2-3 days.

Looking for a Machine Learning Mentor who can create 3 basic to intermediate level projects on Machine Learning. For the projects, we require screen recorded video with voiceovers .each video should be a minimum of 45 mins.

This is a preliminary research to shed insights into something I'd like to explore in depth and turn into something like a prototyping project. I'd like you to explore the trend of integrating a drone technology with the weather forecasting and bring out the service model that is trendy. Please include the following criteria; 1. Payload types that carries out special functions of weather probing missions 2. Camera usage beyond what's mounted on a drone. (IMU and air-speed sensor, for example) 3. Service model for paid and free subscriptions with an api 4. List of services from a drone industry or of the weather service providers. 5. Type of drones that are used where it's relevant to this research project. 6. What are the special mission capabilities such as air-time,...

Use ML, Dl for Mapping Privacy Policies to GDPR (python)

I have one collage project in that need to build AGE DETECTION project using Generative Adversarial Networks (GANs) model. Training and Testing Script should be there. Code with proper documentation. Also you need to explain me the flow. Running on time please bid fast.

have to create a pedestrian detection and monitoring system using deep learning in python

labeled dataset will be provided ipynb is to be developed high accuracy and perfomace matrix is expected. ROC curve and computational time

Pro-ject Title: DEEP POLYP SEGMENTATION FROM COLONOSCOPY IMAGE USING DEEPLABV3+ Deadline: 3/4 days Programming: Python Instructions: Must read Project first, then check datasets I have to use Deeplabv3+ model Here is some what I tried myself in Google collab, you can do in any platform: Let me know when can you start and finish, and charges (once start must give me everyday progress with screenshot/video). Note: Here, I attach two pictures they are project objectives and problem statement

Looking for NetSuite Functional Consultant

Your tasks Here’s the order you should do things in. Each step comes with a CSV in the examples directory that you can load for a very basic/incomplete test of the “happy path.” (Testing the unhappy path is up to you.) 1. Get set and get_raw working. 2. Get set_format working and make get_formatted apply the given format. 3. Make get_formatted follow references, e.g. =A1. A full featured spreadsheet would do many more things, but stick to these for this part. You won’t get extra credit for implementing anything besides these three things. Special instructions for Windows users Before running the spreadsheet program on windows, please go to , uncomment the windows-curses line and rerun pip install -r requirements-dev.txt. This program is tested on Windows, but not as...

study and research the current speech mimic technology on open library. target is to mimic a voice with minimum audio data. must share the AI training and operation procedures, experiment results, performance enhancement reports.

This project is a continuation of the kaggle completion whose description can be found here: (). There will be an attached GitHub repo that already uses pertained models for the competition task of predicting 3 possible trajectories for self driving cars. For this project I am looking for someone to work with the partial training set as provided and create a ensemble model combining the models Xception41 and Xception65 with ResNet using k means methods returning 3 hypothesized trajectory predictions for the car agents. GithubRepo:

I want to create couple of quick AI demo following Kaggle projects. Each task will contain 1. Identifying interesting Kaggle project ( from completed competitions, which does not have any sharing rights ) 2. Run the code and share it with me with instruction 3. Write a brief article explaining the tasks, implementation, how this can be helpful While selecting Kaggle case study you should make sure it belongs to the current AI interest topic. I can pay 3000 INR for 5 such examples.

Penerangan Projek Please Read it carefully so you understand 100% what I want and what Im looking for. I'm looking for long term business relationship with a freelancer. Since there will me multiple projects if/ when this one is good and the working relationship is good. I am looking for a Machine/ deep learning and AI specialist that can create A.I to control character in mobile games. As you know there is no 100% randomness. This goes for online games as well. In fact if you Google it you will find articles about AI machines beating master chess players and beating professional gamers ( five). RMG (random number generator) is nothing but complex patterns that seem random, but in fact they are not (you should know this as well as a coder/ deverloper). As long as you have enough a...

Product Recognition Deep Learning Project

Hi, I have multiple projects related to data science and currently look for a freelancer who can help in

Project Title: DEEP POLYP SEGMENTATION FROM COLONOSCOPY IMAGE USING DEEPLABV3+ Programming Language: Python Instructions: Must read Project first, then check datasets I have to use Deeplabv3+ model Here is some what I tried myself in Google collab, you can do in any platform: Let me know when can you start and finish, and charges (once start must give me everyday progress with screenshot/video). Thanks.

I am looking for someone expert who have done this or have with him with proper documentation

Create deep learning model for partial discharge detection with improving accuracy depending on tensorflow and keras.

requirement data augmentation on images dataset

Working through a Jupyter Notebook and implement a PixelCNN. A already have some approaches for the first tasks

I would like to extract text from different type of image with machine learning and deep learning

1. Understand Project Plan (handed over by the Team Lead) 2. Manage and run projects 3. Manage client communications and delivery Understand Project Plan: - Understand application requirements - Understand the project as broker down into multiple modules/tasks - Understand the estimated effort in each task and the assignee’s skills - Understand project timeline as per given estimates Project Management - Conduct daily huddles and assign tasks - Review who’s not on track through task boards and pre-empt delays - Remove blockers by understanding them and getting respective experts within the company/team - Organize all project documents (write documentation on functionality) Client communications and delivery - Conduct weekly client huddles (set the agenda, get questions/notes, m...

Preparing datasets for training ● Find public data and/or restructure data suitable for the project ● Responsible for design and development of different types of computer vision models that fits the requirement. ● Understanding of different data structures and ability to convert from structure to another ● Understanding of different Deep Learning Libraries (eg. Tensorflow, PyTorch, openvino etc) ● Create functions for training and inference ● Test the inference time on different types of servers/GPUS/CPUs/Edge devices ● Build ML modules, along with accuracy, must also deliver the production workload expectations - work with real world data, suitable inference time, compatibility with tech-stack, work on CPUs where applicable ● Understand different types of ML problems - classification, re...

I need an expert to explain how one can train a model using two famous datasets: in this repository: In these datasets like Oxford5k or ROxford5k, I find the landmark images, and other images for that landmark. For ex, everything starting with all_souls correspond to the all_souls building. But when I see other images containign this tag, it contain people and indoor images which are possibly junk. In the gt files, I see the structure having, , , , and so on. While training do we use , and ignore the junk? and cannot use A clear explanation is what I need. using code and a clear explanation. Budget is $10.

I want to create couple of quick AI demo following Kaggle projects. Each task will contain 1. Identifying interesting Kaggle project ( from completed competitions, which does not have any sharing rights ) 2. Run the code and share it with me with instruction 3. Write a brief article explaining the tasks, implementation, how this can be helpful While selecting Kaggle case study you should make sure it belongs to the current AI interest topic. I can pay 3000 INR for 5 such examples.

Need someone to write a technical report on two deep learning models that have been trained and to compare their results and write on it academically. The report needs to be more between 4000-4500 words long. Contents: Introduction on the type of model used Implementation how the models were implemented The results of the two model and comparison between their result Conclusion

We are looking for a talented machine/deep learning engineer who can work longer with our company. We are open for discussion the project and interview so if you are interested, send us offer

I am looking for a dev to create several 30 sec videos. These videos will be used commercially and will have the facial and vocal features of my boss, so everything will be legit and above board. He is just to busy to shoot content himself.

According to many studies, a layer-based UAV installation provides for improved object interaction. Besides these solutions, research connecting UAVs to multiple layers (U2X) is limited. In particular, no one discussed the issue of resource allocation. This project will help you resolve resource allocation issues and determine the total number of transfers between UAVs. It saves a lot of energy while increasing the likelihood of service delivery. UAVs provide ground users with communications services in a variety of situations, including transportation systems, emergencies, surveillance, and disaster situation. UAV technology's long-term coverage of a particular area in a flexible environment is challenging. Due to finite power resources, low coverage, flight laws, and regulations. As...

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.