Ipython Notebooks for solving problems like classification, segmentation, generation using latest Deep learning algorithms on different publicly available text and image data-sets.
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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.
Notebook for running GPT-J/GPT-J-6B – the cost-effective alternative to ChatGPT, GPT-3 & GPT-4 for many NLP tasks. Available on IPUs as a Paperspace notebook.
Text Generation notebook using TensorFlow 2.0
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!
Compilation of notebooks.
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 …
A tutorial on GPT2 language model training with texts from Shakespeare
A jupyter notebook to generate song lyrics using LSTM network.
Generative AI workshop delivered at PyDataBCN 2023
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
the notebook and generated texts created for the DAGPap22
Generates ballads using Deep learning . Using LSTMs and data of some famous ballads . Generates new ballads and autocompletes with initial given texts .
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.
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