274 Open source projects that are alternatives of or similar to Koan

Source code of CHAMELEON - A Deep Learning Meta-Architecture for News Recommender Systems

Exploring the simple sentence similarity measurements using word embeddings

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

Sentiment analysis of tweets in Russian using Convolutional Neural Networks (CNN) with Word2Vec embeddings.

Word Embeddings (e.g. Word2Vec) in Go!

Fast vectorization, topic modeling, distances and GloVe word embeddings in R.

Remove problematic gender bias from word embeddings.

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

Toolkit to obtain and preprocess german corpora, train models using word2vec (gensim) and evaluate them with generated testsets

SIGIR 2017: Embedding-based query expansion for weighted sequential dependence retrieval model

Google News and Leo Tolstoy: Visualizing Word2Vec Word Embeddings using t-SNE.

Topic Modelling for Humans

Benchmarks for intrinsic word embeddings evaluation.

A pipeline for training word embeddings using word2vec on wikipedia corpus.

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.

FastText for Node.js

Codenames AI using Word Vectors

A word2vec port for Windows.

Beautiful visualizations of how language differs among document types.

Mixing Dirichlet Topic Models and Word Embeddings to Make lda2vec from this paper https://arxiv.org/abs/1605.02019

Train Wikidata with word2vec for word embedding tasks

Sample code for training Word2Vec and FastText using wiki corpus and their pretrained word embedding..

💻Speech and Natural Language Processing (SLP & NLP) Lab Assignments for ECE NTUA

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

Taking a pretrained GloVe model, and using it as a TensorFlow embedding weight layer **inside the GPU**. Therefore, you only need to send the index of the words through the GPU data transfer bus, reducing data transfer overhead.

Arabic Word Embeddings Word2vec

Python Framework for Extractive Text Summarization

A two-stream convolutional neural network for learning abitrary similarity functions over two sets of training data

Keras, PyTorch, and NumPy Implementations of Deep Learning Architectures for NLP

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

A fast, efficient universal vector embedding utility package.

A complete pytorch implementation of skip-gram

Text preprocessing, representation and visualization from zero to hero.

Code for Mimicking Word Embeddings using Subword RNNs (EMNLP 2017)

A scalable implementation of "Learning Structural Node Embeddings Via Diffusion Wavelets (KDD 2018)".

Python interface to Google word2vec

About Text Pairs (Sentence Level) Classification (Similarity Modeling) Based on Neural Network.

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

A curated list of pretrained sentence and word embedding models

对四种句子/文本相似度计算方法进行实验与比较

Using word vectors to classify spam messages

Oxford Deep NLP 2017 course - Practical 1: word2vec

👷‍♂️ A simple package for extracting useful features from character objects 👷‍♀️

텐서플로우를 기초부터 응용까지 단계별로 연습할 수 있는 소스 코드를 제공합니다

Implementing Facebook's FastText with java

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

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

Using pre trained word embeddings (Fasttext, Word2Vec)

Go library for performing computations in word2vec binary models

A short tutorial on Elmo training (Pre trained, Training on new data, Incremental training)

[NeurIPS 2019] Spherical Text Embedding

基于预训练模型的中文关键词抽取方法（论文SIFRank: A New Baseline for Unsupervised Keyphrase Extraction Based on Pre-trained Language Model 的中文版代码）

NLP research：基于tensorflow的nlp深度学习项目，支持文本分类/句子匹配/序列标注/文本生成 四大任务

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。

Generating multiple choice questions from text using Machine Learning.

基于情感字典和机器学习的股市舆情情感分类可视化Web

Java interface for fastText

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

sourced.ml is a library and command line tools to build and apply machine learning models on top of Universal Abstract Syntax Trees

Pre-trained Word2Vec Model for Turkish