Topic Modelling for Humans

Machine learning, in numpy

大规模中文自然语言处理语料 Large Scale Chinese Corpus for NLP

Extract Keywords from sentence or Replace keywords in sentences.

text2vec, text to vector. 文本向量表征工具，把文本转化为向量矩阵，实现了Word2Vec、RankBM25、Sentence-BERT、CoSENT等文本表征、文本相似度计算模型，开箱即用。

Recommendation Algorithm大规模推荐算法库，包含推荐系统经典及最新算法LR、Wide&Deep、DSSM、TDM、MIND、Word2Vec、Bert4Rec、DeepWalk、SSR、AITM，DSIN，SIGN，IPREC、GRU4Rec、Youtube_dnn、NCF、GNN、FM、FFM、DeepFM、DCN、DIN、DIEN、DLRM、MMOE、PLE、ESMM、ESCMM, MAML、xDeepFM、DeepFEFM、NFM、AFM、RALM、DMR、GateNet、NAML、DIFM、Deep Crossing、PNN、BST、AutoInt、FGCNN、FLEN、Fibinet、ListWise、DeepRec、ENSFM，TiSAS，AutoFI…

Alink is the Machine Learning algorithm platform based on Flink, developed by the PAI team of Alibaba computing platform.

Python interface to Google word2vec

兜哥出品 <一本开源的NLP入门书籍>

Beautiful visualizations of how language differs among document types.

Pre-trained word vectors of 30+ languages

텐서플로우를 기초부터 응용까지 단계별로 연습할 수 있는 소스 코드를 제공합니다

A curated list of awesome embedding models tutorials, projects and communities.

🦆 Contextually-keyed word vectors

A fast, efficient universal vector embedding utility package.

My first Python repo with codes in Machine Learning, NLP and Deep Learning with Keras and Theano

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.

A parallel implementation of "graph2vec: Learning Distributed Representations of Graphs" (MLGWorkshop 2017).

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

Four word embedding models implemented in Python. Supporting arbitrary context features