201 Open source projects that are alternatives of or similar to word2vec-from-scratch-with-python

同名论文消歧的工程化方案（参考2019智源-aminer人名消歧竞赛第一名方案）

One-Stop Solution to encode sentence to fixed length vectors from various embedding techniques

Creating word embeddings from scratch and visualize them on TensorBoard. Using trained embeddings in Keras.

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🎨 🎨NLP 自然语言处理教程 🎨🎨 https://dataxujing.github.io/NLP-paper/

Porting of Skip-Thoughts pretrained models from Theano to PyTorch & Torch7

Exploring the simple sentence similarity measurements using word embeddings

Go library for performing computations in word2vec binary models

Visualize large text collections with WebGL

对 ansj 编写的 Word2VEC_java 的进一步包装，同时实现了常用的词语相似度和句子相似度计算。

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Pre-trained Word2Vec Model for Turkish

Rust interface to word2vec.

Use pytorch to implement word2vec

AraVec is a pre-trained distributed word representation (word embedding) open source project which aims to provide the Arabic NLP research community with free to use and powerful word embedding models.

FastText for Node.js

code for "Determining Gains Acquired from Word Embedding Quantitatively Using Discrete Distribution Clustering" ACL 2017

Implementation of Hierarchical Attention Networks in PyTorch

A word2vec negative sampling implementation with correct CBOW update.

dna2vec: Consistent vector representations of variable-length k-mers

nlp lecture-notes and source code

NEG loss implemented in pytorch

Oxford Deep NLP 2017 course - Practical 1: word2vec

A curated list of awesome embedding models tutorials, projects and communities.

An evaluation of word-embeddings for classification

TextClf ：基于Pytorch/Sklearn的文本分类框架，包括逻辑回归、SVM、TextCNN、TextRNN、TextRCNN、DRNN、DPCNN、Bert等多种模型，通过简单配置即可完成数据处理、模型训练、测试等过程。

The TensorFlow reference implementation of 'GEMSEC: Graph Embedding with Self Clustering' (ASONAM 2019).

R, Python and Mathematica Codes in Machine Learning, Deep Learning, Artificial Intelligence, NLP and Geolocation

wmd4j is a Java library for calculating Word Mover's Distance (WMD)

utils to use word embedding like word2vec vectors in a postgres database

Python interface to Google word2vec

Uses a distributed word representation to finds words along the hyperchord of two input words.

An unofficial implementation of asm2vec as a standalone python package

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

An experiment about re-implementing supervised learning models based on shallow neural network approaches (e.g. fastText) with some additional exclusive features and nice API. Written in Python and fully compatible with Scikit-learn.

Documents, papers and codes related to Natural Language Processing, including Topic Model, Word Embedding, Named Entity Recognition, Text Classificatin, Text Generation, Text Similarity, Machine Translation)，etc. All codes are implemented intensorflow 2.0.

TextAugment: Text Augmentation Library

基于字符训练词向量

结合python一起学习自然语言处理 (nlp): 语言模型、HMM、PCFG、Word2vec、完形填空式阅读理解任务、朴素贝叶斯分类器、TFIDF、PCA、SVD

Russian mass media stemmed texts corpus / Корпус лемматизированных (морфологически нормализованных) текстов российских СМИ

Hyperstar: Negative Sampling Improves Hypernymy Extraction Based on Projection Learning.

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对四种句子/文本相似度计算方法进行实验与比较

Dice.com repo to accompany the dice.com 'Vectors in Search' talk by Simon Hughes, from the Activate 2018 search conference, and the 'Searching with Vectors' talk from Haystack 2019 (US). Builds upon my conceptual search and semantic search work from 2015

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A small, interpretable codebase containing the re-implementation of a few "deep" NLP models in PyTorch. Colab notebooks to run with GPUs. Models: word2vec, CNNs, transformer, gpt.

A Pytorch implementation of "Splitter: Learning Node Representations that Capture Multiple Social Contexts" (WWW 2019).

Japanese word embedding with Sudachi and NWJC 🌿

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A blog which talks about machine learning, deep learning algorithms and the Math. and Machine learning algorithms written from scratch.

A word2vec port for Windows.

Extremely simple and fast word2vec implementation with Negative Sampling + Sub-sampling

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NLP Predtrained Embeddings, Models and Datasets Collections(NLP_PEMDC). The collection will keep updating.

Bu Uyghur yéziqini Pythonning gensim ambiridiki word2vec algorizimida sinap baqqan misal.

A personal semantic search engine capable of surfacing relevant bookmarks, journal entries, notes, blogs, contacts, and more, built on an efficient document embedding algorithm and Monocle's personal search index.

No description or website provided.

Word2Vec iOS port

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