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Hello, We are looking for a Data scientist and analyst to create BTC predictions for low timeframe, and middle time. We need to include tick data + order book and other elements if needs. I need somone with rich experience in the area and have something to show.
For my project, I have to classify the different tree species in an area based on aerial imagery. But I don't know how to apply the CNN classification code in Colab. I need help to build a model to classify the tree species. PLease help. Thankyou.
Hello, I need OCR engine to be able to extract text information from PDF and ID card. The final version will be deployed by Python. The accuracy is good and I want web service with simple API. I hope to discuss the details on chat. Thank you
I need a trained, validated and tested model with LSTM to predit the output. One year long data with 4 to 5 (max) input parameters and 1 output ..data is with 15 minutes frequency. The model is intended to be used for development of preditice control. Please contact only, if you have advanced expertise in R.. Some important information> 1- Pre-preocessing of data to check null values, correlat...
Help in getting a python Automatic license detection project using FRCNN,YOLO from GIT to be executed in Google COLAB. Need to get a working copy of License plate detection using FRCNN, YOLO ,TENSORFLOW and any other new best algorithm. Based on the accuracy we will choose the right algorithm. I can provide data sets. Any existing working copy from GIT can also be used .
Implement attached reasearch paper using keras and python. # knowledge of python , attention mechanism, natural language processing, CNN and LSTM is required.
In this project, I am asking to create a deep learning model either RNN or transformer (LSTM) for a smartphone mobility data. Unit of analysis is: geographical US census block groups (CBG) - First Goal is to see if k-means clusters of Mobility are similar to low income CBGs (for low income there is a dummy variable for each CBG). So, your deep learning method should find the best k clusters to ma...
Tengo un conjunto de imágenes etiquetadas en XML y necesito que una Raspberry PI 3 B+ detecte la clase etiquetada a través de tensorflow lite. Debe entregar una guía detallada del proceso realizado en el SO Raspbian. Una vez comprobado el correcto funcionamiento se procede con el pago.
The work is mainly to improve the performance of already implemented model. Source code and dataset will be provided for quick modeling and delivery.
Need an Expert engineer to modify in Yolov4 scaled already exist in Github Details in pm if you never know pls don't waste the time
My name is Mohamed Abdullahi Hussein : i am looking any who can solve this project To encourage data sharing and mitigate user privacy concerns, a number of anonymization and de-anonymization algorithms have been developed to help protect privacy of social media users. In this work, we propose a new adversarial attack specialized for social media data. We further provide a principled way to asses...
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There are two steps to this test: 1. Enhance the Images a. Make them as visually beautiful as possible b. Make them really “pop” c. We want to use only the most aesthetic images for our platform d. The picture Is over 90% of the initial user experience, and we want the pictures to take our users’ breaths away 2. Compress the Images a. Compress to the range of 150-700 KB b. Pres...