Skip to content
#

word-embedding

Star

Here are 101 public repositories matching this topic...

Language: All
Filter by language
All 101 Python 47 Jupyter Notebook 16 C++ 9 C 5 Java 4 HTML 3 JavaScript 3 C# 2 Go 2 Cuda 1
Sort: Best match
Sort options
Best match Most stars Fewest stars Most forks Fewest forks Recently updated Least recently updated

hanxiao / bert-as-service

Star
Find more good first issues →
Relation-Classification-using-Bidirectional-LSTM-Tree

Sshanu / Relation-Classification-using-Bidirectional-LSTM-Tree

Star

TensorFlow Implementation of the paper "End-to-End Relation Extraction using LSTMs on Sequences and Tree Structures" and "Classifying Relations via Long Short Term Memory Networks along Shortest Dependency Paths" for classifying relations

tree deep-learning neural-network tensorflow entities lstm tree-structure dependency-tree semeval lca relation-extraction bidirectional-lstm word-embedding lstm-networks relation-classification lstm-tree
  • Updated Apr 15, 2019
  • Jupyter Notebook
walklets

benedekrozemberczki / walklets

Star

A lightweight implementation of Walklets from "Don't Walk Skip! Online Learning of Multi-scale Network Embeddings" (ASONAM 2017).

machine-learning deep-learning word2vec deepwalk dimensionality-reduction gensim edge-prediction multiscale graph-mining embedding node2vec word-embedding graph-embedding node-classification graph-neural-networks node-embedding walklet graphlet dont-walk-skip graph-convolution
  • Updated May 31, 2020
  • Python

pesoto / Text-Analysis

Star

Explaining textual analysis tools in Python. Including Preprocessing, Skip Gram (word2vec), and Topic Modelling.

python machine-learning text-mining neural-network word2vec word-embeddings web-scraping lstm expectation-maximization gradient-descent text-processing lda text-prediction scraping-websites latent-dirichlet-allocation skipgram gibbs-sampling long-short-term-memory-models word-embedding textual-analysis
  • Updated Sep 21, 2017
  • Jupyter Notebook
NMFADMM

benedekrozemberczki / NMFADMM

Star

A sparsity aware implementation of "Alternating Direction Method of Multipliers for Non-Negative Matrix Factorization with the Beta-Divergence" (ICASSP 2014).

optimization word2vec deepwalk matrix-factorization feature-extraction pca topic-modeling factorization lda unsupervised-learning admm sparse-matrix principal-component-analysis embedding nmf principal-components node2vec unsupervised-machine-learning word-embedding beta-divergence
  • Updated Jun 1, 2020
  • Python

pravj / semantris-solver

Star
Open

Implement spell correction for associated word suggestions

pravj
pravj commented Oct 2, 2018

Given that the accuracy of an OCR system depends on the following (not limited to) factors:

  • Distribution of text in the image
  • Quality of image

It doesn't result in a correct word detection all the times. For example, a word Shoe on screen might result in Shot for a distorted image.

We can experiment with the spell correction to see if that can help in such situations by using the h

Read more
Hacktoberfest bug enhancement good first issue

lovit / text_embedding

Star
Open

Append 된 word 들도 이용하여 doc vector inference 하기

lovit
lovit commented Dec 6, 2018

현재 document vector inference 는 학습 데이터에 존재하는 단어만을 이용한다. word vector inference 이후 word representation 을 append 할 때, transformer 에도 이 정보를 함께 append 하면 이후 새로운 단어도 이용되어 doc vec inference 가 가능하다.

doc vec inference 함수에 입력되는 (doc, term) matrix 에 새로운 단어가 포함되어 있을 경우, 이 단어들에 대하여 word vector inference 를 먼저 수행한 뒤, doc vec inference 를 할 수도 있다

Read more

Improve this page

Add a description, image, and links to the word-embedding topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the word-embedding topic, visit your repo's landing page and select "manage topics."

Learn more

You can’t perform that action at this time.