russeRUSSE: Russian Semantic Evaluation.
Stars: ✭ 11 (-82.54%)
Vaaku2VecLanguage Modeling and Text Classification in Malayalam Language using ULMFiT
Stars: ✭ 68 (+7.94%)
Emotion-recognition-from-tweetsA comprehensive approach on recognizing emotion (sentiment) from a certain tweet. Supervised machine learning.
Stars: ✭ 17 (-73.02%)
Chameleon recsysSource code of CHAMELEON - A Deep Learning Meta-Architecture for News Recommender Systems
Stars: ✭ 202 (+220.63%)
word2vec-moviesBag of words meets bags of popcorn in Python 3 中文教程
Stars: ✭ 54 (-14.29%)
DebiasweRemove problematic gender bias from word embeddings.
Stars: ✭ 175 (+177.78%)
grad-cam-textImplementation of Grad-CAM for text.
Stars: ✭ 37 (-41.27%)
reveryA personal semantic search engine capable of surfacing relevant bookmarks, journal entries, notes, blogs, contacts, and more, built on an efficient document embedding algorithm and Monocle's personal search index.
Stars: ✭ 200 (+217.46%)
Movietaster OpenA practical movie recommend project based on Item2vec.
Stars: ✭ 253 (+301.59%)
receiptdIDReceipt.ID is a multi-label, multi-class, hierarchical classification system implemented in a two layer feed forward network.
Stars: ✭ 22 (-65.08%)
Cw2veccw2vec: Learning Chinese Word Embeddings with Stroke n-gram Information
Stars: ✭ 224 (+255.56%)
test word2vec uyghurBu Uyghur yéziqini Pythonning gensim ambiridiki word2vec algorizimida sinap baqqan misal.
Stars: ✭ 15 (-76.19%)
SensegramMaking sense embedding out of word embeddings using graph-based word sense induction
Stars: ✭ 209 (+231.75%)
doc2vec-apidocument embedding and machine learning script for beginners
Stars: ✭ 92 (+46.03%)
GermanwordembeddingsToolkit to obtain and preprocess german corpora, train models using word2vec (gensim) and evaluate them with generated testsets
Stars: ✭ 189 (+200%)
word-benchmarksBenchmarks for intrinsic word embeddings evaluation.
Stars: ✭ 45 (-28.57%)
GE-FSGGraph Embedding via Frequent Subgraphs
Stars: ✭ 39 (-38.1%)
Deep Math Machine Learning.aiA blog which talks about machine learning, deep learning algorithms and the Math. and Machine learning algorithms written from scratch.
Stars: ✭ 173 (+174.6%)
word2vec-pytorchExtremely simple and fast word2vec implementation with Negative Sampling + Sub-sampling
Stars: ✭ 145 (+130.16%)
Word2VecAndTsneScripts demo-ing how to train a Word2Vec model and reduce its vector space
Stars: ✭ 45 (-28.57%)
word-embeddings-from-scratchCreating word embeddings from scratch and visualize them on TensorBoard. Using trained embeddings in Keras.
Stars: ✭ 22 (-65.08%)
wmd4jwmd4j is a Java library for calculating Word Mover's Distance (WMD)
Stars: ✭ 31 (-50.79%)
CukatifyCukatify is a music social media project
Stars: ✭ 21 (-66.67%)
wordmapVisualize large text collections with WebGL
Stars: ✭ 23 (-63.49%)
AravecAraVec 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.
Stars: ✭ 239 (+279.37%)
NLP-paper🎨 🎨NLP 自然语言处理教程 🎨🎨 https://dataxujing.github.io/NLP-paper/
Stars: ✭ 23 (-63.49%)
KoanA word2vec negative sampling implementation with correct CBOW update.
Stars: ✭ 232 (+268.25%)
acl2017 document clusteringcode for "Determining Gains Acquired from Word Embedding Quantitatively Using Discrete Distribution Clustering" ACL 2017
Stars: ✭ 21 (-66.67%)
Practical 1Oxford Deep NLP 2017 course - Practical 1: word2vec
Stars: ✭ 220 (+249.21%)
GemsecThe TensorFlow reference implementation of 'GEMSEC: Graph Embedding with Self Clustering' (ASONAM 2019).
Stars: ✭ 210 (+233.33%)
Word2vecPython interface to Google word2vec
Stars: ✭ 2,370 (+3661.9%)
ShallowlearnAn 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.
Stars: ✭ 196 (+211.11%)
asm2vecAn unofficial implementation of asm2vec as a standalone python package
Stars: ✭ 127 (+101.59%)
Nlp learning结合python一起学习自然语言处理 (nlp): 语言模型、HMM、PCFG、Word2vec、完形填空式阅读理解任务、朴素贝叶斯分类器、TFIDF、PCA、SVD
Stars: ✭ 188 (+198.41%)
word2vecRust interface to word2vec.
Stars: ✭ 22 (-65.08%)
hyperstarHyperstar: Negative Sampling Improves Hypernymy Extraction Based on Projection Learning.
Stars: ✭ 24 (-61.9%)
SplitterA Pytorch implementation of "Splitter: Learning Node Representations that Capture Multiple Social Contexts" (WWW 2019).
Stars: ✭ 177 (+180.95%)
textaugmentTextAugment: Text Augmentation Library
Stars: ✭ 280 (+344.44%)
skip-gram-Chineseskip-gram for Chinese word2vec base on tensorflow
Stars: ✭ 20 (-68.25%)
Word2VecJavaWord2Vec In Java (2013 google word2vec opensource)
Stars: ✭ 13 (-79.37%)
NLP PEMDCNLP Predtrained Embeddings, Models and Datasets Collections(NLP_PEMDC). The collection will keep updating.
Stars: ✭ 58 (-7.94%)
word2vec-on-wikipediaA pipeline for training word embeddings using word2vec on wikipedia corpus.
Stars: ✭ 68 (+7.94%)
two-stream-cnnA two-stream convolutional neural network for learning abitrary similarity functions over two sets of training data
Stars: ✭ 24 (-61.9%)