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I am a professional photographer and photo editor with interesting skill uploading some my clicked photos and edited photos.
Bonjour Karolina, ceci est le compte freelancer de spareka merci
Hi I want to design a website with many css transition effects and scrolling effects for a small startup. The startup is related to Augmented Reality technology. Since the budget is little tight please bid only if you can help me to build it within the budget. I want the website to look unique and good smooth and responsive.
I am trying to develop an NDI receiver app within unity using the (klakNDI). I am trying to receive a stream from adobe CC (using NDI tools plug in) but i am un familiar with unity. What i would need is to set a skybox as a receiver and for it to receive the feed from adobe premier/after effects. Feel free to ask me any questions if i have not explained it well enough.
I'll send my grocery's sales data for you then you have to enter it for ms excel. I'll send all the data after selecting you. The data is very important then you have to enter it very accurately.
I want a quick typist to make a google form test adding the answers quickly.
It is all about creating unique videos for business, birthday, presentation, product etc. It has also create copys for people
Its an application where user can register and he can book an appointment fro a list of DR's/life coaches.
Design and develop a web-based application that will.. 1. Accept the search criteria and run search based on it on Google and other websites (given) - Elastic search 2. Search for guidance documents, get the hyperlinks and store them in the database 3. Display all the links on the screen so that users can check documents and download the documents 4. Downloaded documents has to be saved in reposit...
I have a clean dataset that contains 10 features as shown in the attached figure and I want to build, train, and evaluate LSTM model with multiple layers to predict one of the ten features (GHI). The input sequence should be 6, which means the last 6 records are used to predict the next value. The model should be built using the Pytorch library.