248 Open source projects that are alternatives of or similar to Fasttext4j

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

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.

兜哥出品 <一本开源的NLP入门书籍>

Embedding模型代码和学习笔记总结

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

A fast, efficient universal vector embedding utility package.

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.

finalfusion embeddings in Rust

Fast word vectors with little memory usage in Python

Pre-trained word vectors of 30+ languages

Exploring the simple sentence similarity measurements using word embeddings

FastText for Node.js

Persian sentiment analysis ( آناکاوی سهش های فارسی | تحلیل احساسات فارسی )

Topic Modelling for Humans

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

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

cw2vec: Learning Chinese Word Embeddings with Stroke n-gram Information

All about Neural Networks!

Using pre trained word embeddings (Fasttext, Word2Vec)

利用文本挖掘技术进行新闻热点关注问题分析

Beautiful visualizations of how language differs among document types.

Code for "Effective Dimensionality Reduction for Word Embeddings".

Pre-trained Word2Vec Model for Turkish

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

基于字符训练词向量

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

Implementation of Hierarchical Attention Networks in PyTorch

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

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

CVTK, a Computer Vision ToolKit.

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

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.

Neural models for Text Classification in Tensorflow, such as cnn, dpcnn, fasttext, bert ...

Japanese text8 corpus for word embedding.

嵌入Word2vec词向量的RNN+ATTENTION中文文本分类

A scalable Gensim implementation of "Learning Role-based Graph Embeddings" (IJCAI 2018).

The reference implementation of "Multi-scale Attributed Node Embedding".

NEG loss implemented in pytorch

Telegram Data Clustering contest solution by Mindful Squirrel

A sparsity aware and memory efficient implementation of "Attributed Social Network Embedding" (TKDE 2018).

🦆 Contextually-keyed word vectors

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

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

Go library for performing computations in word2vec binary models

Use pytorch to implement word2vec

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

NIPS Conversational Intelligence Challenge 2017 Winner System: Skill-based Conversational Agent with Supervised Dialog Manager

Library for Korean morpheme and word vector representation

Machine learning, in numpy

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.

Python codes in Machine Learning, NLP, Deep Learning and Reinforcement Learning with Keras and Theano

Notebooks for the Seattle PyData 2017 talk on Scattertext

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。

Japanese word embedding with Sudachi and NWJC 🌿

Node wrapper around FastText Library

A Python interface for Facebook fastText

訓練中文詞向量 Word2vec, Word2vec was created by a team of researchers led by Tomas Mikolov at Google.

Lightning Fast Language Prediction 🚀

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