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

Text preprocessing, representation and visualization from zero to hero.

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

Augmenting word embeddings with their surrounding context using bidirectional RNN

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

Python interface to Google word2vec

A curated list of pretrained sentence and word embedding models

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

对四种句子/文本相似度计算方法进行实验与比较

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

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

基于字符训练词向量

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

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

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

100+ Chinese Word Vectors 上百种预训练中文词向量

Go library for performing computations in word2vec binary models

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

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

Fast Word Clustering Software

[NeurIPS 2019] Spherical Text Embedding

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.

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）

Japanese word embedding with Sudachi and NWJC 🌿

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。

Overview of Modern Deep Learning Techniques Applied to Natural Language Processing

Generating multiple choice questions from text using Machine Learning.

🔤 Calculate average word embeddings (word2vec) from documents for transfer learning

Pre-trained Word2Vec Model for Turkish

Pujangga - Indonesian Natural Language Processing Tool with REST API, an Interface for InaNLP and Deeplearning4j's Word2Vec

Pre-trained word vectors of 30+ languages

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

Use pytorch to implement word2vec

Inspired by word2vec-pride-vis the replacement of words of Russian most valuable novels text with closest word2vec model words. By Boris Orekhov

Log Anomaly Detection - Machine learning to detect abnormal events logs

Notebooks for the Seattle PyData 2017 talk on Scattertext

Implementing Skip-gram Negative Sampling with pytorch

Programming assignments from all courses in the Coursera Natural Language Processing Specialization offered by deeplearning.ai.

finalfusion embeddings in Rust

Top2Vec learns jointly embedded topic, document and word vectors.

Improving topic models LDA and DMM (one-topic-per-document model for short texts) with word embeddings (TACL 2015)

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

All about Neural Networks!

An implementation of word2vec applied to [stanford philosophy encyclopedia](http://plato.stanford.edu/)

PyTorch implementation of Hash Embeddings (NIPS 2017). Submission to the NIPS Implementation Challenge.

Obtaining word embeddings from a WordNet ontology

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

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

Word Embeddings for Information Retrieval

A sparsity aware implementation of "Deep Autoencoder-like Nonnegative Matrix Factorization for Community Detection" (CIKM 2018).

Implementation of Hierarchical Attention Networks in PyTorch

Service Classification based on Service Description

An algorithm to augment syntactic hierarchy into word embeddings

Twitter Sentiment Analysis with Gensim Word2Vec and Keras Convolutional Network

entity2rec generates item recommendation using property-specific knowledge graph embeddings

Ipython Notebooks for solving problems like classification, segmentation, generation using latest Deep learning algorithms on different publicly available text and image data-sets.

Python implementation of bag-of-concepts

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.