any kind of sentences be it declarative or imperative and convert it to negative and interrogative sentences. ex: he is a boy ----->> He is not a boy(negative) and Is he a boy?(interrogative) It should be able to convert any type of sentences (complex or simple).
Message identification system I need a system that reads and understand structured messages Read message from whatsapp, and Microsoft teams After reading the message the system should send a message via a API Messages will be structured, but the system should understand different message structures also so it is a machine learning project I can provide more information if needed
Looking for deep learning expert who has sound knowledge of self attention based transformer neural network. Bid only if you have experience in customising the deep learning architectures to improve performance. Ping me if interested I will share code and reference research paper.
I need a machine learning model that predicts whether a text shows positive or negative sentiment using python . The project should be finished within two days, The freelancer should afford the following deliverables: - source code of the ML model, well documented - a demo video of how to use it within my flask application - assistance during the integration process Bots are not allowed Please write a proposal which describes how will you proceed.
The goal of this project is to setup a NLP Pipeline in Python that takes our training data (examples of Input and Output texts), transforms it and train the generative model GPT-Neo. In the end the model should be easily swapped out with other generative models as GPT-Neox, GPT-J, Bloom. You must not use high-level libraries like HappyTransformers etc., instead you should use PyTorch and Huggingface (and other important libraries) to build the project. Your code should be well structured and the hyperparameters should be easy to adjust. You have to document each step to reproduce the exact same result. Furthermore, you should be able to give us advice how we should best proceed with enhancing the model you created.
I prefer a person who knows Arabic because the dataset is Arabic Create a new detection model using a deep learning model that helps to detect misogyny text and clean Arabic content from dirty text with the best accuracy. This is done by giving the model a sentence that includes misogyny speech and the result is a sentence free of misogyny content. the primary data set is which contains two tasks we will work in the two tasks. we will test the model in a different data set DataSetLink : , ......etc the files are the dataset, methodology, ArMI at FIRE 2021 Overview of the First Shared Task that will work in it to improve the accuracy to reach at least 94% and make a new contribution by making the task an informed task b by entering the result as features to task 2 please read all ...