Ipython Notebooks for solving problems like classification, segmentation, generation using latest Deep learning algorithms on different publicly available text and image data-sets.
-
Updated
Aug 9, 2019 - Jupyter Notebook
Ipython Notebooks for solving problems like classification, segmentation, generation using latest Deep learning algorithms on different publicly available text and image data-sets.
In this notebook, I'll construct a character-level LSTM with PyTorch. The network will train character by character on some text, then generate new text character by character. As an example, I will train on Anna Karenina. This model will be able to generate new text based on the text from the book!
Text generation using a character-based RNN with LSTM cells. We will work with a dataset of Shakespeare's writing from Andrej Karpathy's The Unreasonable Effectiveness of Recurrent Neural Networks. Given a sequence of characters from this data ("Shakespear"), train a model to predict the next character in the sequence ("e"). Longer sequences of β¦
Compilation of notebooks.
Generates ballads using Deep learning . Using LSTMs and data of some famous ballads . Generates new ballads and autocompletes with initial given texts .
A tutorial on GPT2 language model training with texts from Shakespeare
Repo to store code for #66DaysOfData challenge by Ken Jee. Includes notebooks and code for different concepts and technologies in data science for learning purposes.
A jupyter notebook to generate song lyrics using LSTM network.
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
the notebook and generated texts created for the DAGPap22
Generative AI workshop delivered at PyDataBCN 2023
Text Generation notebook using TensorFlow 2.0
Notebook for running GPT-J/GPT-J-6B β the cost-effective alternative to ChatGPT, GPT-3 & GPT-4 for many NLP tasks. Available on IPUs as a Paperspace notebook.
Sales Script AI is a tool that generates tailored sales scripts using AI-driven natural language processing techniques in an interactive Jupyter Notebook environment.
Explore advanced neural networks for crafting captivating headlines! Compare LSTM π and Transformer π models through interactive notebooks π and easy-to-use wrapper classes π οΈ. Ideal for content creators and data enthusiasts aiming to automate and enhance headline generation β¨.
Natural LangWiz is a repository for exploring Natural Language Processing (NLP) techniques through Jupyter notebooks. It covers everything from text preprocessing and sentiment analysis to advanced transformer models. Dive in to see how we turn raw text into actionable insights with a touch of NLP wizardry!
Add a description, image, and links to the text-generation topic page so that developers can more easily learn about it.
To associate your repository with the text-generation topic, visit your repo's landing page and select "manage topics."