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.

A fast, efficient universal vector embedding utility package.

🦆 Contextually-keyed word vectors

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