This project investigates similar word prediction using pre-trained word embeddings from the Gensim library.
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Updated
Jun 27, 2024 - Jupyter Notebook
This project investigates similar word prediction using pre-trained word embeddings from the Gensim library.
My Bachelor's Thesis
The SINr approach to train interpretable word and graph embeddings
Word Embedding + LSTM + FC
Pre-trained models and language resources for Natural Language Processing in Polish
This project build a classification model for topics of news. With the target is automatically recognize suitable topic (class) to a random article. There are two architectures implemented which are LSTM and Hybrid models
Dictionary processing library
Dictionary processing library
Dictionary processing library
Dictionary processing library
Dictionary processing library
Dictionary processing library
Dictionary processing library
Word Embeding with Simple model, w2v, Simple RNN, LSTM
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This repository serves as as a practical guide for understanding (NLP) through a Lab. It consists of two Jupyter notebooks, each dedicated to a specific part of the lab.
Official Code Repository for LM-Steer Paper: "Word Embeddings Are Steers for Language Models"
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