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An end-to-end solution for ERC20 token recommendations based on public Ethereum dataset in BigQuery. The model is based on matrix-factorization using the WALS algorithm, in TensorFlow, trained on Cloud ML Engine. Recommendations are served using App Engine Flex with Cloud Endpoints. Orchestration is performed using Airflow, running on Cloud Comp…

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Name		Name	Last commit message	Last commit date
Latest commit History 12 Commits
airflow		airflow
app		app
scripts		scripts
wals_ml_engine		wals_ml_engine
.gitignore		.gitignore
CONTRIBUTING		CONTRIBUTING
LICENSE		LICENSE
README.md		README.md
conda.txt		conda.txt
requirements.txt		requirements.txt

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ERC20 Token Recommendations on GCP with TensorFlow and WALS

Read this article: https://medium.com/google-cloud/building-token-recommender-in-google-cloud-platform-1be5a54698eb

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An end-to-end solution for ERC20 token recommendations based on public Ethereum dataset in BigQuery. The model is based on matrix-factorization using the WALS algorithm, in TensorFlow, trained on Cloud ML Engine. Recommendations are served using App Engine Flex with Cloud Endpoints. Orchestration is performed using Airflow, running on Cloud Comp…

machine-learning crypto tensorflow ethereum blockchain gcp google-cloud data-visualization cryptocurrency data-analytics recommendation-system recommender-system web3 google-cloud-platform blockchain-analytics on-chain-analysis

Apache-2.0 license

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