A short seminar talk on text generation.
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Updated
May 30, 2017
A short seminar talk on text generation.
Sample Python Program, trained using Markov Chains to generate random sentences based on start word
Machine Learning + LSTM Implementation to capture sentiments surrouding the Colombian elections in 2018. Sentiment analysis entirely on Spanish tweets with interesting external data sourcing.
Character level text generation using LSTMs on Bhagavad Gita As It Is
This project was one of my DLND projects
In this project we will generate the sentences using ngrams
This Notebook Shows a Neural Image Captioning model using Merge Architecture in keras which generates captions for given image.
Generating Text using Bidirectional LSTMs
MixText: Linguistically-Informed Interpolation of Hidden Space for Semi-Supervised Text Classification
Firstly, web scraped the comic routine of various comic artists and analysed various methods of their delivery and analysis it statistical. And, also I did sentiment analysis and text generation to make my own stand-up speech.
IT-Based textgeneration with the use of NLP methods. A text summarization task is conducted with the amazon fine food review dataset from Kaggle. This task is done by attention and lstm neural networks.
Code for "Semi-supervised Formality Style Transfer using Language Model Discriminator and Mutual Information Maximization"
In this repository, I have used Fastai Datasets to perform Image Segmentation and I have checked the accuracy of the Model. For this project, I have used Fastai Library to create the model and to check the accuracy.
업로드한 사진을 기반으로 AI를 통하여 동화책을 자동생성하는 서비스입니다. 사진 화풍 변환, 생성된 글을 수정하고 책을 꾸밀 수 있습니다. 타인의 책을 공유할 수 있습니다.
An Artificial Intelligence Agent that generates text using Deep Neural Networks.
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