Popular GitHub Repositories for Wordembeddings

Implementing Facebook's FastText with java

Dict2vec is a framework to learn word embeddings using lexical dictionaries.

Cross-Lingual Alignment of Contextual Word Embeddings

PyTorch implementation of the Word2Vec (Skip-Gram Model) and visualizing the trained embeddings using TSNE

基于知识库信息的词向量模型

Extending conceptual thinking with semantic embeddings.

Aspect-Based Sentiment Analysis

flairR: Bring Amazing Flair NLP to R

This project aims to implement the Transformer Encoder blocks using various Positional Encoding methods.

Diachronic Word Embedding Model based on Word2vec Skip-gram with Chebyshev approximation

Visualize word2vec in javascript

Twitter Text Sentiment Analysis (Preprocessing using Spacy)

A Persian Word2Vec Model trained by Wikipedia articles

Temporal analysis of legal texts via topic modelling and temporal word embeddings

We have implemented, expanded and reviewed the paper “Sense2Vec - A Fast and Accurate Method For Word Sense Disambiguation In Neural Word Embeddings" by Andrew Trask, Phil Michalak and John Liu.

This project aims to implement the Scaled-Dot-Product Attention layer and the Multi-Head Attention layer using various Positional Encoding methods.

We use reinforcement learning to study how language can be used as a tool for agents to accomplish tasks in their environment, and show that structure in the evolved language emerges naturally through iterated learning, leading to the development of compositional language for describing and generalising about unseen objects.

Training and exploring Word2Vec and FastText on Harry Potter books corpus

This project aims to implement the charCNN word embedding method that is leveraged in ELMo and characterBERT.

Semantic Quality Benchmark for Word Embeddings, i.e. Natural Language Models in Python. Acronym `SeaQuBe` or `seaqube`.