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A game theoretic approach to explain the output of any machine learning model.
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A game theoretic approach to explain the output of any machine learning model.
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PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice (『飞桨』核心框架,深度学习&机器学习高性能单机、分布式训练和跨平台部署)
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Open standard for machine learning interoperability
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The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agen…
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Open Machine Learning Compiler Framework
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Tensor library for machine learning
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A machine learning-based video super resolution and frame interpolation framework. Est. Hack the Valley II, 2018.
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Machine Learning Engineering Open Book
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ChatterBot is a machine learning, conversational dialog engine for creating chat bots
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A toolkit for making real world machine learning and data analysis applications in C++
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A unified framework for machine learning with time series
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Containers for machine learning
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A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python,…
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Open source annotation tool for machine learning practitioners.
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H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeli…