This is a repository for my Thesis.
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Updated
May 21, 2024 - HTML
Natural language processing (NLP) is a field of computer science that studies how computers and humans interact. In the 1950s, Alan Turing published an article that proposed a measure of intelligence, now called the Turing test. More modern techniques, such as deep learning, have produced results in the fields of language modeling, parsing, and natural-language tasks.
This is a repository for my Thesis.
Script loads news via APIs, analyzes sentiments using VADER, displays results on Streamlit.
Open source libraries and APIs to build custom preprocessing pipelines for labeling, training, or production machine learning pipelines.
Gateway into the John Snow Labs Ecosystem
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
This project uses LLMs to generate music from text by understanding prompts, creating lyrics, determining genre, and composing melodies. It harnesses LLM capabilities to create songs based on text inputs through a multi-step approach.
This project aims to create a corpus for solving the problem of binary classification between natural text and "lectura facil" text
Scikit-learn friendly library to interpret, and prompt-engineer text datasets using large language models.
DOM-aware tokenization for Hugging Face language models
Data and software for building the ACL Anthology.
OpenVINO™ is an open-source toolkit for optimizing and deploying AI inference
Fast and Accurate ML in 3 Lines of Code
🤗 AutoTrain Advanced
Cerbrec Graphbook is the deep learning framework that brings visibility and intelligent guidance to researchers.
This repo contains the projects I implemented during my learning activity.
Recomendação de documentos no domínio jurídico para o projeto Querido Diário
Unsupervised text tokenizer for Neural Network-based text generation.
Материалы курса по компьютерной лингвистике Школы Лингвистики НИУ ВШЭ
Simple website that lists some visual linguistic resources. I enjoy every utility that I can get my hands on. They make working with data more interactive by bringing it to life.
A Unified Library for Parameter-Efficient and Modular Transfer Learning
Created by Alan Turing