A very simple framework for state-of-the-art Natural Language Processing (NLP)
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Updated
May 22, 2024 - Python
A very simple framework for state-of-the-art Natural Language Processing (NLP)
Resume Matcher is an open source, free tool to improve your resume. It works by using language models to compare and rank resumes with job descriptions.
The code powering searchthearxiv.com, a simple semantic search engine for more than 300,000 ML papers on arXiv.
Analysis of Roget's Thesaurus lexicon, using web scraping and machine learning techniques
Data Science for Psychology: A Book
This repo contains my NLP Module Labs
State-of-the-art count-based word embeddings for low-resource languages with a special focus on historical languages.
EMNLP 2023 Papers: Explore cutting-edge research from EMNLP 2023, the premier conference for advancing empirical methods in natural language processing. Stay updated on the latest in machine learning, deep learning, and natural language processing with code included. ⭐ support NLP!
Topic Modelling for Humans
This repository contains download links to pretrained static word embeddings (word2vec, fastText) in Filipino.
🔤 Calculate average word embeddings (word2vec) from documents for transfer learning
Toolkit to obtain and preprocess German text corpora, train models and evaluate them with generated testsets. Built with Gensim and Tensorflow.
Top2Vec learns jointly embedded topic, document and word vectors.
Tutorials on Large Language Models
Quranic Lexical/Semantic Search
Data and code for the machine learning exam assignment of MA Digital Text Analysis (2023).
Keras, PyTorch, and NumPy Implementations of Deep Learning Architectures for NLP
Code implementation for our DAS, 2020 paper titled "Fused Text Recogniser and Deep Embeddings Improve Word Recognition and Retrieval"
Tools for shrinking fastText models (in gensim format)
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