Role2vecA scalable Gensim implementation of "Learning Role-based Graph Embeddings" (IJCAI 2018).
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biovecProtVec can be used in protein interaction predictions, structure prediction, and protein data visualization.
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WebvectorsWeb-ify your word2vec: framework to serve distributional semantic models online
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DanmfA sparsity aware implementation of "Deep Autoencoder-like Nonnegative Matrix Factorization for Community Detection" (CIKM 2018).
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word2vec-tsneGoogle News and Leo Tolstoy: Visualizing Word2Vec Word Embeddings using t-SNE.
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Lmdb EmbeddingsFast word vectors with little memory usage in Python
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Word2vec訓練中文詞向量 Word2vec, Word2vec was created by a team of researchers led by Tomas Mikolov at Google.
Stars: ✭ 48 (+6.67%)
GermanwordembeddingsToolkit to obtain and preprocess german corpora, train models using word2vec (gensim) and evaluate them with generated testsets
Stars: ✭ 189 (+320%)
AttentionwalkA PyTorch Implementation of "Watch Your Step: Learning Node Embeddings via Graph Attention" (NeurIPS 2018).
Stars: ✭ 266 (+491.11%)
walkletsA lightweight implementation of Walklets from "Don't Walk Skip! Online Learning of Multi-scale Network Embeddings" (ASONAM 2017).
Stars: ✭ 94 (+108.89%)
MusaeThe reference implementation of "Multi-scale Attributed Node Embedding".
Stars: ✭ 75 (+66.67%)
GensimTopic Modelling for Humans
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word-embeddings-from-scratchCreating word embeddings from scratch and visualize them on TensorBoard. Using trained embeddings in Keras.
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GemsecThe TensorFlow reference implementation of 'GEMSEC: Graph Embedding with Self Clustering' (ASONAM 2019).
Stars: ✭ 210 (+366.67%)
word2vec-pt-brImplementação e modelo gerado com o treinamento (trigram) da wikipedia em pt-br
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TadwAn implementation of "Network Representation Learning with Rich Text Information" (IJCAI '15).
Stars: ✭ 43 (-4.44%)
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 (+335.56%)
lda2vecMixing Dirichlet Topic Models and Word Embeddings to Make lda2vec from this paper https://arxiv.org/abs/1605.02019
Stars: ✭ 27 (-40%)
Product-Categorization-NLPMulti-Class Text Classification for products based on their description with Machine Learning algorithms and Neural Networks (MLP, CNN, Distilbert).
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Ml ProjectsML based projects such as Spam Classification, Time Series Analysis, Text Classification using Random Forest, Deep Learning, Bayesian, Xgboost in Python
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Sense2vec🦆 Contextually-keyed word vectors
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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.
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MagnitudeA fast, efficient universal vector embedding utility package.
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Log Anomaly DetectorLog Anomaly Detection - Machine learning to detect abnormal events logs
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wordfish-pythonextract relationships from standardized terms from corpus of interest with deep learning 🐟
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RolXAn alternative implementation of Recursive Feature and Role Extraction (KDD11 & KDD12)
Stars: ✭ 52 (+15.56%)
SineA PyTorch Implementation of "SINE: Scalable Incomplete Network Embedding" (ICDM 2018).
Stars: ✭ 67 (+48.89%)
doc2vec-apidocument embedding and machine learning script for beginners
Stars: ✭ 92 (+104.44%)
Nlp In PracticeStarter 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.
Stars: ✭ 790 (+1655.56%)
Nlp JourneyDocuments, 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.
Stars: ✭ 1,290 (+2766.67%)
SplitterA Pytorch implementation of "Splitter: Learning Node Representations that Capture Multiple Social Contexts" (WWW 2019).
Stars: ✭ 177 (+293.33%)
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 (+284.44%)
KoanA word2vec negative sampling implementation with correct CBOW update.
Stars: ✭ 232 (+415.56%)
WordvectorsPre-trained word vectors of 30+ languages
Stars: ✭ 2,043 (+4440%)
FUTUREA private, free, open-source search engine built on a P2P network
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Cw2veccw2vec: Learning Chinese Word Embeddings with Stroke n-gram Information
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Practical 1Oxford Deep NLP 2017 course - Practical 1: word2vec
Stars: ✭ 220 (+388.89%)
Entity2recentity2rec generates item recommendation using property-specific knowledge graph embeddings
Stars: ✭ 159 (+253.33%)
Text2vectext2vec, chinese text to vetor.(文本向量化表示工具,包括词向量化、句子向量化、句子相似度计算)
Stars: ✭ 155 (+244.44%)
GraphwavemachineA scalable implementation of "Learning Structural Node Embeddings Via Diffusion Wavelets (KDD 2018)".
Stars: ✭ 151 (+235.56%)
Embedding As ServiceOne-Stop Solution to encode sentence to fixed length vectors from various embedding techniques
Stars: ✭ 151 (+235.56%)
SensegramMaking sense embedding out of word embeddings using graph-based word sense induction
Stars: ✭ 209 (+364.44%)
Textfeatures👷♂️ A simple package for extracting useful features from character objects 👷♀️
Stars: ✭ 148 (+228.89%)
Word2vecPython interface to Google word2vec
Stars: ✭ 2,370 (+5166.67%)
Fasttext4j Implementing Facebook's FastText with java
Stars: ✭ 148 (+228.89%)
imbalanced-ensembleClass-imbalanced / Long-tailed ensemble learning in Python. Modular, flexible, and extensible. | 模块化、灵活、易扩展的类别不平衡/长尾机器学习库
Stars: ✭ 199 (+342.22%)
russeRUSSE: Russian Semantic Evaluation.
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Chameleon recsysSource code of CHAMELEON - A Deep Learning Meta-Architecture for News Recommender Systems
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Skip Thoughts.torchPorting of Skip-Thoughts pretrained models from Theano to PyTorch & Torch7
Stars: ✭ 146 (+224.44%)