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A unified interface for distributed computing. Fugue executes SQL, Python, Pandas, and Polars code on Spark, Dask and Ray without any rewrites.
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A system for quickly generating training data with weak supervision
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The complete code and notebooks used for the ACM Recommender Systems Challenge 2020 by our team BanaNeverAlone at Politecnico di Milano
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A unified framework for machine learning with time series
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CausalLift: Python package for causality-based Uplift Modeling in real-world business
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Project work for Udacity's AB Testing Course
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This is a repository of a topic-centric public data sources in high quality for Recommender Systems (RS)
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🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
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A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2O, xgboost, Spark MLlib etc.) of the top machine learning algorithms for binary classification (random forests, gradient boosted trees, deep neural networks etc.).
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Fit interpretable models. Explain blackbox machine learning.