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am a video and film producer looking to inquire about creating an AI powered software like DALL-E 2 to create graphics for a children's show I am producing. I'm going to be honest, I'm not sure what goes into a project like this but I know it's not simple. My production team needs a desktop or browser app where an input of natural language text prompts an output of simple, clean, vector graphics -like what is commonly created in Adobe illustrator. The goal is to create our own version of DALL-E 2 but specifically for clean vector style graphics to be used for animation and motion graphics formats.
I have a time series forecasting script in Matlab that uses LSTM. I would like to have a freelancer that create a script to optimizes the LSTM options and parameters. The target is to maximize the output of the Matlab function.
Hello everyone! I have developed deep learning code, it works properly, but when increased number of clients, and number of rounds etc, to train the model, the code take very long time, I could not finish training. I need someone to help me to finish training of the model . Thanks
Hi I need someone who can help me converting dataset to different dataset. If you are good with point clouds, image processing, OpenCV then its a plus. Need it soon. Cannot pay more than the budget. Its not a big project so dont ask later.
Task is very simple there are two datasets 1. Image 2. Numerical First of all process with keras In addition of process with pytorch Prior experience is required. Document is also needed for your code
I'm looking for an experienced developer to work with our FR engine and develop a new FR Android app. This is not an AI project as we have the FR components ready, however, if you have experience with FR before and OpenCV that could help us. A detailed doc describing the project will be shared after we make contact. Please start your msg with the words "I have experience with both FR and Android!"
This project is first classifying the traffic to normal and attacks then the normal traffic is then pass and will be balanced in all ports to be in balance. The model should be controlled by deep learning algorithm. The model should be emulate using Mininet and floodlight
Create a web application that can predict height and weight of a person from full body image which in turn calculates the BMI using the predictions. The developer just needs to deploy pretrained models for height and weight which are available on Github and display the predicted height, weight and BMI to a web app.
The project targets at development of a Fraud Detection model through which the digital data acquired through an ecommerce platform can be used to suspect a user as fraud in real time. Qualifications: 1. 3+ years of experience in ML 2. Proficient in Python, Pandas, ML Frameworks, Deep Learning 3. Able to work and coordinate with the project team Responsibilities: 1. Work in coordination with the project team 2. EDA for various types of data 3. Development of ML model
Main Task - Image Reconstruction 1. Custom image Dataset must be loaded from the local drive. As of now you can load your own dataset. 2. Image Augmentation have to be included Important: There should not be any restriction on the dimensions of the image. It will work with all the image dimensions Step 1: 3. The various types of Autoencoder techniques and GAN must compared with and without hyper parameter tuning, Ensembling methods with various performance metrics. 4. There is an option to mention and control the types of noises with the range 5. The reconstructed results will be checked with the bunch of images or else the single image with similarity score with the input image.
I already have a model that is built using TensorFlow Decision Forests. I have to convert some of the preprocessing steps from pandas to tensorflow. And model building steps. Bid only if you have experience in tensorflow and is available to do it right now.
The developer must have good experience in Machine learning and Python as well as app development. Thanks.
In this we require a project to detect 20-30 different landmarks/labels/tags from image and video of mouth (intra oral picture and video) , and use it to train a model which is able to detect those in images and video. The program is to be linked with mobile application so will require an api for that. The accuracy required will be good (enough sample data will be available). In attached images please see what kind of objects are needed to be detected from images/video.
We would like to hear the opinions of machine learning practitioners on machine learning experiment management tools. Experiment management tools support practitioners performing machine learning (ML) or deep learning (DL) experiments to manage all involved artifacts and metadata (datasets, features, scripts, hyperparameters, evaluation metrics, models, …). Such tools are used to reproduce or trace experiments, analyze experiment results, and collaborate with other practitioners. Popular tools are, for instance, , DVC, or MLFlow. These tools allow users to track or log artifacts when performing experiment runs. Completing the survey takes approximately 10 minutes for each ML practitioner.
This is a small project, I have a couple of videos to test using a datasets which I'm not very familiar, each video is about 1-7 min long, I need your help with running these video in this datasets and screen recording the running process. here is the datasets: here's the paper about this datasets:
(for introductory experiments for students of data science etc.) dynamic spreadsheet with special RESULT column data type synced and cached remote/local data source interfaces (SQLite) math formula composer view (Java-based mini function language) machine learning composer view (deeplearning4j) plot composer view (3D+ plots) It is quite easy work for the skilled coder, but the details surely can be somewhat challenging. You should have the necessary mathematics knowledge to contribute meaningful design details. We can discuss more details later. The most convincing winner bid will be given the opportunity to work on the project regularly - innovative and creative application development ideas beyond the average and 'going the extra mile' will be awarded an extra bonus on top! ...
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.