HyperParameter-Optimization

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A curated and opinionated list of resources for Chief Technology Officers, with the emphasis on startups

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? A ranked list of awesome machine learning Python libraries. Updated weekly.

Collection of various algorithms in mathematics, machine learning, computer science, physics, etc implemented in C for educational purposes.

A collection of algorithms and data structures

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

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A curated collection of common interview questions to help you prepare for your next interview.