There are 30 repositories under word2vec topic.
大规模中文自然语言处理语料 Large Scale Chinese Corpus for NLP
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,AutoFIS等,包含经典推荐系统数据集criteo 、movielens等
Alink is the Machine Learning algorithm platform based on Flink, developed by the PAI team of Alibaba computing platform.
Beautiful visualizations of how language differs among document types.
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.
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.
This series will take you on a journey from the fundamentals of NLP and Computer Vision to the cutting edge of Vision-Language Models.
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
基于Pytorch和torchtext的自然语言处理深度学习框架。
Deep neural network framework for multi-label text classification
基于法律裁判文书的事件抽取及其应用,包括数据的分词、词性标注、命名实体识别、事件要素抽取和判决结果预测等内容
Vector Hub - Library for easy discovery, and consumption of State-of-the-art models to turn data into vectors. (text2vec, image2vec, video2vec, graph2vec, bert, inception, etc)
word2vec, sentence2vec, machine reading comprehension, dialog system, text classification, pretrained language model (i.e., XLNet, BERT, ELMo, GPT), sequence labeling, information retrieval, information extraction (i.e., entity, relation and event extraction), knowledge graph, text generation, network embedding
中文情感分析库(Chinese Sentiment))可对文本进行情绪分析、正负情感分析。Text analysis, supporting multiple methods including word count, readability, document similarity, sentiment analysis, Word2Vec .
Multiple implementations for abstractive text summurization , using google colab
Programming Assignments and Lectures for Stanford's CS 224: Natural Language Processing with Deep Learning
Keras, PyTorch, and NumPy Implementations of Deep Learning Architectures for NLP
Fast word vectors with little memory usage in Python