Model Selection Collection

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📦Normal

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“A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.”

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🔮Psychic

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“Visual analysis and diagnostic tools to facilitate machine learning model selection.”

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“Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Tick Data.”

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“A collection of computer vision pre-trained models.”

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🔮Psychic

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“Automated Deep Learning without ANY human intervention. 1'st Solution for AutoDL challenge@NeurIPS. ”

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⚙️Steel

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“A comprehensive library for machine learning and numerical computing. Apply Machine Learning with Rust leveraging first principles. ”

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🔮Psychic

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“LAMA - automatic model creation framework”

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🔮Psychic

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“EvalML is an AutoML library written in python.”

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“Implementation/Tutorial of using Automated Machine Learning (AutoML) methods for static/batch and online/continual learning”

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“A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.”

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🔮Psychic

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“A unified interface for optimization algorithms and experiments”

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“Human-explainable AI.”

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🔮Psychic

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“Dynamic Nested Sampling package for computing Bayesian posteriors and evidences”

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🔮Psychic

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“本人多次机器学习与大数据竞赛Top5的经验总结，满满的干货，拿好不谢”

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🔮Psychic

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“ML hyperparameters tuning and features selection, using evolutionary algorithms.”

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⚡Electric

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“Make your OpenClaw AI agent faster, smarter, and cheaper. Speed optimization, memory architecture, context management, model selection, and one-shot development guide.”

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🔮Psychic

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“Multi-Faceted AI Agent and Workflow Autotuning. Automatically optimizes LangChain, LangGraph, DSPy programs for better quality, lower execution latency, and lower execution cost. Also has a simple agent/workflow framework”

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🔮Psychic

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“Time Series Cross-Validation -- an extension for scikit-learn”