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Explore the skillCausalml
uber
Uplift modeling and causal inference with machine learning algorithms
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Uplift modeling and causal inference with machine learning algorithms
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cuML - RAPIDS Machine Learning Library
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A library of extension and helper modules for Python's data analysis and machine learning libraries.
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ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic de…
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a machine learning image inpainting task that instinctively removes watermarks from image indistinguishable from the ground truth image
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The Learning Interpretability Tool: Interactively analyze ML models to understand their behavior in an extensible and framework agnostic interface.
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Machine learning platform for Web developers
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Open-source deep-learning framework for building, training, and fine-tuning deep learning models using state-of-the-art Physics-ML methods
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A roadmap to learn Kubernetes from scratch (Beginner to Advanced level)
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mlpack: a fast, header-only C++ machine learning library
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Techniques for deep learning with satellite & aerial imagery
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scikit-learn: machine learning in Python
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Qlib is an AI-oriented Quant investment platform that aims to use AI tech to empower Quant Research, from exploring ideas to implementing productions. Qlib supports dive…
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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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Explore the skilltensorflow
An Open Source Machine Learning Framework for Everyone