1441 Open source projects that are alternatives of or similar to Magnitude

Fast word vectors with little memory usage in Python

Topic Modelling for Humans

Using pre trained word embeddings (Fasttext, Word2Vec)

Visualize word embeddings of a vocabulary in TensorBoard, including the neighbors

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.

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

Exploring the simple sentence similarity measurements using word embeddings

finalfusion embeddings in Rust

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

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

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Compact high quality word embeddings for Russian language

Tutorials on getting started with PyTorch and TorchText for sentiment analysis.

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BioWordVec & BioSentVec: pre-trained embeddings for biomedical words and sentences

🦆 Contextually-keyed word vectors

Deep-learning model presented in "DataStories at SemEval-2017 Task 6: Siamese LSTM with Attention for Humorous Text Comparison".

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

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

FastText for Node.js

Starter code to solve real world text data problems. Includes: Gensim Word2Vec, phrase embeddings, Text Classification with Logistic Regression, word count with pyspark, simple text preprocessing, pre-trained embeddings and more.

Beautiful visualizations of how language differs among document types.

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

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

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

Deep-learning model presented in "DataStories at SemEval-2017 Task 4: Deep LSTM with Attention for Message-level and Topic-based Sentiment Analysis".

Word Embeddings for Information Retrieval

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

R wrapper for fastText

Programming Assignments and Lectures for Stanford's CS 224: Natural Language Processing with Deep Learning

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

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

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.

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

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

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

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.

Python Framework for Extractive Text Summarization

Simple downloader for pre-trained word vectors

ADAM - A Question Answering System. Inspired from IBM Watson

Vector Hub - Library for easy discovery, and consumption of State-of-the-art models to turn data into vectors. (text2vec, image2vec, video2vec, graph2vec, bert, inception, etc)

NNDial is an open source toolkit for building end-to-end trainable task-oriented dialogue models. It is released by Tsung-Hsien (Shawn) Wen from Cambridge Dialogue Systems Group under Apache License 2.0.

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

🔡 Token level embeddings from BERT model on mxnet and gluonnlp

Python package with source code from the course "Creative Applications of Deep Learning w/ TensorFlow"

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

中文詞向量訓練教學

Library for faster pinned CPU <-> GPU transfer in Pytorch

Named Entity Recognition using multilayered bidirectional LSTM

CS224n: Natural Language Processing with Deep Learning Assignments Winter, 2017

A collection of notebooks for Natural Language Processing from NLP Town

A tool for learning vector representations of words and entities from Wikipedia

Four word embedding models implemented in Python. Supporting arbitrary context features

An algorithm to augment syntactic hierarchy into word embeddings

Twitter Sentiment Analysis with Gensim Word2Vec and Keras Convolutional Network

Pre-trained subword embeddings in 275 languages, based on Byte-Pair Encoding (BPE)

LanguageCrunch NLP server docker image

Curated List of Persian Natural Language Processing and Information Retrieval Tools and Resources

中文长文本分类、短句子分类、多标签分类、两句子相似度（Chinese Text Classification of Keras NLP, multi-label classify, or sentence classify, long or short），字词句向量嵌入层（embeddings）和网络层（graph）构建基类，FastText，TextCNN，CharCNN，TextRNN, RCNN, DCNN, DPCNN, VDCNN, CRNN, Bert, Xlnet, Albert, Attention, DeepMoji, HAN, 胶囊网络-CapsuleNet, Transformer-encode, Seq2seq, SWEM, LEAM, TextGCN