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stefan-jansen
Code for Machine Learning for Algorithmic Trading, 2nd edition.
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Explore the skillstefan-jansen
Code for Machine Learning for Algorithmic Trading, 2nd edition.
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A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and…
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🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and traini…
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An Open Source Machine Learning Framework for Everyone
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12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
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Visualizer for neural network, deep learning and machine learning models
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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 source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management, connect to Slack, Facebook, and more - Create chatbo…
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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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scikit-learn: machine learning in Python
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Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
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🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.