Implementation of lightweight transformer model for character level text generation
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Updated
Jul 13, 2024 - Python
Implementation of lightweight transformer model for character level text generation
Generative Pretrained transformer using PyTorch
This project is meant to generate a Local Language Model based on textual input.
This project leverages the NLTK library and the Reuters corpus to build a next-word prediction model using bigrams and conditional frequency distributions.
Genreating piano roll using transformer
Implementation of Handwritten Text Recognition Systems using TensorFlow
Final year project based on NLP
Solutions for Andrej Karpathy's "Neural Networks: Zero to Hero" course
This repository contains Natural Language Processing programs in the Python programming language.
Generate names for Eldritch beings
This project is an auto-filling text program implemented in Python using N-gram models. The program suggests the next word based on the input given by the user. It utilizes N-gram models, specifically Trigrams and Bigrams, to generate predictions.
GPT model that can take a text file from anywhere on the internet and imitate the linguistic style of the text
This project analyzes and generates new names using various techniques and neural networks.
Very simple implementation of GPT architecture using PyTorch and Jupyter.
A replication of an experiment by Reali and Christiansen (2005) disputing the basic assumptions of Chomsky's Poverty of Stimulus theory.
This is a part of my Academic Project in the course Fundamentals of Data Analytics
Mainly from Speech and Language Processing, Daniel Jurafsky & James H. Martin; Codes are self-developed (of course it is simple without defense); Learn with some fun
implementing statistical methods for training a language model. We will be using a bi-gram model, which means we are computing the probability of a sentence. We will train the LM on 57,340 sentences from the Brown corpus.
Bigram and Trigram Language Modeling
Implementing a simple text classification using Bigram model.
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