Popular GitHub Repositories for Atlas Vec

Machine learning, in numpy

? Scalable embedding, reasoning, ranking for images and sentences with CLIP

Easy-to-use Speech Toolkit including Self-Supervised Learning model, SOTA/Streaming ASR with punctuation, Streaming TTS with text frontend, Speaker Verification System, End-to-End Speech Translation and Keyword Spotting. Won NAACL2022 Best Demo Award.

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。

A collection of important graph embedding, classification and representation learning papers with implementations.

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.

Top2Vec learns jointly embedded topic, document and word vectors.

A distributed graph deep learning framework.

兜哥出品 <一本开源的NLP入门书籍>

Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)

Pre-trained word vectors of 30+ languages

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

? Contextually-keyed word vectors

A fast, efficient universal vector embedding utility package.

A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019).

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).