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PAIR-code
The Learning Interpretability Tool: Interactively analyze ML models to understand their behavior in an extensible and framework agnostic interface.
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94 Skills
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Explore the skillPAIR-code
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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A roadmap to learn Kubernetes from scratch (Beginner to Advanced level)
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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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A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning
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A python library for self-supervised learning on images.
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Intelligent Trading Bot: Automatically generating signals and trading based on machine learning and feature engineering