1164 Open source projects that are alternatives of or similar to Shallowlearn

A fast, efficient universal vector embedding utility package.

Topic Modelling for Humans

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.

An implementation of "Network Representation Learning with Rich Text Information" (IJCAI '15).

Text processing library for sentiment analysis and related tasks

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.

Learn how to process, classify, cluster, summarize, understand syntax, semantics and sentiment of text data with the power of Python! This repository contains code and datasets used in my book, "Text Analytics with Python" published by Apress/Springer.

📓 Long(er) text representation and classification using Doc2Vec embeddings

Multi-Class Text Classification for products based on their description with Machine Learning algorithms and Neural Networks (MLP, CNN, Distilbert).

Beautiful visualizations of how language differs among document types.

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

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

中文文本分类实践，基于搜狗新闻语料库，采用传统机器学习方法以及预训练模型等方法

Exploring the simple sentence similarity measurements using word embeddings

R wrapper for fastText

Using pre trained word embeddings (Fasttext, Word2Vec)

ML based projects such as Spam Classification, Time Series Analysis, Text Classification using Random Forest, Deep Learning, Bayesian, Xgboost in Python

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

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

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.

A text analysis application for performing common NLP tasks through a web dashboard interface and an API

Fast word vectors with little memory usage in Python

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

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

All about Neural Networks!

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

Few-shot binary text classification with Induction Networks and Word2Vec weights initialization

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

finalfusion embeddings in Rust

Association Rule Mining from Spatial Data for Crime Analysis

Automatic paper clustering and search tool by fastext from Facebook Research

Remove problematic gender bias from word embeddings.

Java interface for fastText

all kinds of text classification models and more with deep learning

A word2vec port for Windows.

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

HDLTex: Hierarchical Deep Learning for Text Classification

A practical guide to topic mining and interactive visualizations

Arabic support for textblob

Text preprocessing, representation and visualization from zero to hero.

Repo for Applied Text Mining in Python (coursera) by University of Michigan

🦆 Contextually-keyed word vectors

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

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

Pre-trained word vectors of 30+ languages

Pre-training of Deep Bidirectional Transformers for Language Understanding: pre-train TextCNN

A Python interface for Facebook fastText

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.

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

Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).

Log Anomaly Detection - Machine learning to detect abnormal events logs

Kadot, the unsupervised natural language processing library.

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

兜哥出品 <一本开源的NLP入门书籍>

嵌入Word2vec词向量的RNN+ATTENTION中文文本分类

Pre-trained Word2Vec Model for Turkish

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

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

A Python package implementing a new machine learning model for text classification with visualization tools for Explainable AI