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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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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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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
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OpenMLDB is an open-source machine learning database that provides a feature platform computing consistent features for training and inference.
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🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
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A Python toolkit/library for reality-centric machine/deep learning & data mining on partially-observed time series, with 50+ SOTA neural network models for scientific an…
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