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zuruoke
a machine learning image inpainting task that instinctively removes watermarks from image indistinguishable from the ground truth image
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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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A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.
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PennyLane is an open-source quantum software platform for quantum computing, quantum machine learning, and quantum chemistry. Create meaningful quantum algorithms, from…
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🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models
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🪄 Turns your machine learning code into microservices with web API, interactive GUI, and more.
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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 comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.
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Unsupervised Learning for Image Registration
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Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
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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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