Beast code in Giters

A deep matching model library for recommendations & advertising. It's easy to train models and to export representation vectors which can be used for ANN search.

Language:PythonApache-2.0219100

AB-Testing

A/B Testing — A complete guide to statistical testing

Language:Jupyter NotebookBSD-3-Clause14900

AM-VRP

My implementation of solving the Capacitated Vehicle Routing Problem in the paper "Attention, learn to solve routing problems"

Language:Python4300

attention-learn-to-route

Attention based model for learning to solve different routing problems

Language:Jupyter NotebookMIT105400

entity2rec

entity2rec generates item recommendation using property-specific knowledge graph embeddings

Language:PythonApache-2.018200

knowledge_graph_attention_network

KGAT: Knowledge Graph Attention Network for Recommendation, KDD2019

Language:PythonMIT104800

Recommendation-system-based-on-knowledge-graph-embedding

Recommendation system based on knowledge graph embedding

Language:Python15400

KnowledgeGraphData

史上最大规模1.4亿中文知识图谱开源下载

Language:Python488100

Text-Classification

Text Classification through CNN, RNN & HAN using Keras

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flowsplit

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multi_armed_bandit

Monte Carlo simulations of several different multi-armed bandit algorithms and a comparison with classical statistical A/B testing

Language:Jupyter Notebook6800

ABanditTesting

No Regrets: A deep dive comparison of bandits and A/B testing

Language:Jupyter Notebook4600

abtestoo

A/B testing and Multi-armed Bandits Made Easy

Language:Jupyter NotebookApache-2.02800

ERNIE

Official implementations for various pre-training models of ERNIE-family, covering topics of Language Understanding & Generation, Multimodal Understanding & Generation, and beyond.

Language:Python626500