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Awesome GitHub RepositoriesHistogram-Based Split Optimization
Optimizes decision tree construction by binning continuous features into histograms to accelerate split point calculation.
Distinguishing note: None of the candidates cover the specific ML optimization of histogram-based tree splitting.
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Awesome Histogram-Based Split Optimization GitHub Repositories
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- nlp-love/ml-nlp
NLP-LOVE/ML-NLP
17,725Vezi pe GitHubThis project is a machine learning algorithm reference and implementation guide that provides theoretical foundations and code for supervised learning, deep learning, and natural language processing. It serves as a comprehensive toolkit for implementing predictive models and a technical reference for algorithm engineering. The project focuses on ensemble learning frameworks, including the construction of decision trees, random forests, and gradient boosting models. It also functions as a probabilistic graphical model library and an NLP algorithm reference, with specific implementations for se
Accelerates tree construction by deriving sibling leaf histograms from parent nodes without re-scanning raw input.
Jupyter Notebookdeep-learningmachine-learningnlp
