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yipeng5's Projects

kaggle-avazu icon kaggle-avazu

2nd place solution for Avazu click-through rate prediction competition

kaggle_ncfm icon kaggle_ncfm

Using Keras+TensorFlow to solve NCFM-Leadboard Top 5%

kashgari icon kashgari

Kashgari is a Production-ready NLP Transfer learning framework for text-labeling and text-classification, includes Word2Vec, BERT, and GPT2 Language Embedding.

kdd2019-meirec icon kdd2019-meirec

KDD2019-Metapath-guided Heterogeneous Graph Neural Network for Intent Recommendation

leetcodetop icon leetcodetop

汇总各大互联网公司容易考察的高频leetcode题🔥

lightfm icon lightfm

A Python implementation of LightFM, a hybrid recommendation algorithm.

line icon line

LINE: Large-scale information network embedding

linucb icon linucb

Contextual bandit algorithm called LinUCB / Linear Upper Confidence Bounds as proposed by Li, Langford and Schapire

models icon models

Models and examples built with TensorFlow

nboost icon nboost

NBoost is a scalable, search-api-boosting platform for deploying transformer models to improve the relevance of search results on different platforms (i.e. Elasticsearch)

netsmf icon netsmf

NetSMF: Large-Scale Network Embedding as Sparse Matrix Factorization

nlp_xiaojiang icon nlp_xiaojiang

自然语言处理(nlp),闲聊机器人(chatbot),BERT句向量-相似度(Sentence Similarity),文本分类(Text classify), 实体提取(ner,bert+bilstm+crf),数据增强(text augment enhance),同义句同义词生成,句子主干提取(mainpart),中文汉语短文本相似度,文本特征工程,keras-http-service调用

oh-my-zsh icon oh-my-zsh

A delightful community-driven framework for managing your zsh configuration. Includes 200+ optional plugins (rails, git, OSX, hub, capistrano, brew, ant, php, python, etc), over 140 themes to spice up your morning, and an auto-update tool so that makes it easy to keep up with the latest updates from the community.

pgl icon pgl

Paddle Graph Learning (PGL) is an efficient and flexible graph learning framework based on PaddlePaddle

poincare-embeddings icon poincare-embeddings

PyTorch implementation of the NIPS-17 paper "Poincaré Embeddings for Learning Hierarchical Representations"

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