Reco PapersClassic papers and resources on recommendation
Stars: ✭ 2,804 (+12091.3%)
EATNNThis is our implementation of EATNN: Efficient Adaptive Transfer Neural Network (SIGIR 2019)
Stars: ✭ 23 (+0%)
GNN-Recommender-SystemsAn index of recommendation algorithms that are based on Graph Neural Networks.
Stars: ✭ 505 (+2095.65%)
NARREThis is our implementation of NARRE:Neural Attentional Regression with Review-level Explanations
Stars: ✭ 100 (+334.78%)
SIGIR2021 ConureOne Person, One Model, One World: Learning Continual User Representation without Forgetting
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SAMNThis is our implementation of SAMN: Social Attentional Memory Network
Stars: ✭ 45 (+95.65%)
Chameleon recsysSource code of CHAMELEON - A Deep Learning Meta-Architecture for News Recommender Systems
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Entity2recentity2rec generates item recommendation using property-specific knowledge graph embeddings
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AlinkAlink is the Machine Learning algorithm platform based on Flink, developed by the PAI team of Alibaba computing platform.
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DebiasweRemove problematic gender bias from word embeddings.
Stars: ✭ 175 (+660.87%)
WordvectorsPre-trained word vectors of 30+ languages
Stars: ✭ 2,043 (+8782.61%)
DanmfA sparsity aware implementation of "Deep Autoencoder-like Nonnegative Matrix Factorization for Community Detection" (CIKM 2018).
Stars: ✭ 161 (+600%)
slopeonePHP implementation of the Weighted Slope One rating-based collaborative filtering scheme.
Stars: ✭ 85 (+269.57%)
Cw2veccw2vec: Learning Chinese Word Embeddings with Stroke n-gram Information
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GensimTopic Modelling for Humans
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WebvectorsWeb-ify your word2vec: framework to serve distributional semantic models online
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GraphwavemachineA scalable implementation of "Learning Structural Node Embeddings Via Diffusion Wavelets (KDD 2018)".
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RecommenderSystemsNotebooksSet of notebooks analysing and discussing the ideas presented at Coursera's Recommender Systems course
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LR-GCCFRevisiting Graph based Collaborative Filtering: A Linear Residual Graph Convolutional Network Approach, AAAI2020
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SensegramMaking sense embedding out of word embeddings using graph-based word sense induction
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Fasttext4j Implementing Facebook's FastText with java
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SplitterA Pytorch implementation of "Splitter: Learning Node Representations that Capture Multiple Social Contexts" (WWW 2019).
Stars: ✭ 177 (+669.57%)
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 (+939.13%)
Deep Math Machine Learning.aiA blog which talks about machine learning, deep learning algorithms and the Math. and Machine learning algorithms written from scratch.
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Log Anomaly DetectorLog Anomaly Detection - Machine learning to detect abnormal events logs
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KoanA word2vec negative sampling implementation with correct CBOW update.
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word-embeddings-from-scratchCreating word embeddings from scratch and visualize them on TensorBoard. Using trained embeddings in Keras.
Stars: ✭ 22 (-4.35%)
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 (+573.91%)
Practical 1Oxford Deep NLP 2017 course - Practical 1: word2vec
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Skip Gram PytorchA complete pytorch implementation of skip-gram
Stars: ✭ 153 (+565.22%)
SSE-PTCodes and Datasets for paper RecSys'20 "SSE-PT: Sequential Recommendation Via Personalized Transformer" and NurIPS'19 "Stochastic Shared Embeddings: Data-driven Regularization of Embedding Layers"
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Embedding As ServiceOne-Stop Solution to encode sentence to fixed length vectors from various embedding techniques
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GemsecThe TensorFlow reference implementation of 'GEMSEC: Graph Embedding with Self Clustering' (ASONAM 2019).
Stars: ✭ 210 (+813.04%)
Textfeatures👷♂️ A simple package for extracting useful features from character objects 👷♀️
Stars: ✭ 148 (+543.48%)
Word2VecAndTsneScripts demo-ing how to train a Word2Vec model and reduce its vector space
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Skip Thoughts.torchPorting of Skip-Thoughts pretrained models from Theano to PyTorch & Torch7
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Word2vecPython interface to Google word2vec
Stars: ✭ 2,370 (+10204.35%)
russeRUSSE: Russian Semantic Evaluation.
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Word2vecGo library for performing computations in word2vec binary models
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Nlp researchNLP research:基于tensorflow的nlp深度学习项目,支持文本分类/句子匹配/序列标注/文本生成 四大任务
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Word2vec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。
Stars: ✭ 136 (+491.3%)
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 (+752.17%)
Mlsourced.ml is a library and command line tools to build and apply machine learning models on top of Universal Abstract Syntax Trees
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CukatifyCukatify is a music social media project
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GermanwordembeddingsToolkit to obtain and preprocess german corpora, train models using word2vec (gensim) and evaluate them with generated testsets
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Role2vecA scalable Gensim implementation of "Learning Role-based Graph Embeddings" (IJCAI 2018).
Stars: ✭ 134 (+482.61%)
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
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Scattertext PydataNotebooks for the Seattle PyData 2017 talk on Scattertext
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Fasttext.jsFastText for Node.js
Stars: ✭ 127 (+452.17%)