Popular GitHub Repositories for Shakespeare

Everything you want about DP-Based Federated Learning, including Papers and Code. (Mechanism: Laplace or Gaussian, Dataset: femnist, shakespeare, mnist, cifar-10 and fashion-mnist. )

generates new poem using a Tensorflow RNN

A miniature large language model (LLM) that generates shakespeare like text written in C#. Project meant to help dotnet developers get introduced to torch and AI/LLM's. Code filled with comments to help you learn.

A guide to implementing a Recurrent Neural Network for text generation using Keras in Python

finetuning shakespeare on karpathy/nanoGPT

understanding language modeling by training a small GPT on Shakespeare plays.

Machine learning project using federated learning for text generation

Trains a language model to create Shakespeare style text.

Repository for a transformer I coded from scratch and trained on the tiny-shakespeare dataset.

[Gemini API Developer Competition] Real-time conversation with the digital twin of William Shakespeare.

Generative Pretrained Model (GPT) in JAX. A step by step guide to train LLMs on large datasets from scratch

A python project which, when given a file containing some text (e.g. works of Shakespeare), aims to generate text in a similar style. It relies on the Hugging Face Transformers to finetune the GPT-2 124M parameter model or train a model from scratch using GPT-2 architecture.

Text generator based on markov chains, implemented in python (just for fun)

Generating Shakespearean Text with LSTM Neural Networks: This project uses LSTM networks to generate text in the style of William Shakespeare. It explores the intersection of literature and AI by mimicking the rich linguistic nuances and poetic depth of Shakespearean prose and poetry.

A comprehensive, from-scratch implementation of the Transformer architecture for Shakespearean text generation using TensorFlow and following the "Attention Is All You Need" paper (Vaswani et al., 2017). Includes custom training pipeline, data augmentation, and advanced text generation techniques.

A demonstration of Parameter-Efficient Fine-Tuning (PEFT) using Low-Rank Adaptation (LoRA) on transformer-based language models. This project provides a minimal example of fine-tuning a pre-trained model on the Shakespeare dataset using Hugging Face’s transformers, datasets, and peft libraries.

This repository contains a very simple transformer neural network trained on the works of Shakespeare for educational purposes..

How to build a custom GPT for text generation, based on TensorFlow 2.x and Maximal. Trained on the Shakespeare corpus.

I use python and the concept of text generation to build a deep learning model that can write sonnets in the style of William Shakespeare.

A tutorial on GPT2 language model training with texts from Shakespeare