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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Jul 3, 2024 - Python
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Feature EngineeringFeature engineering is the process of creating, selecting, and transforming input features to improve the performance of machine learning models. It includes techniques such as feature extraction, feature selection, encoding categorical variables, scaling numerical features, and generating new features from existing data. Effective feature engineering helps models capture meaningful patterns, improve predictive accuracy, and generalize better to unseen data. Here are 8,255 public repositories matching this topic...Language: All
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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 Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
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An open source python library for automated feature engineering
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Alink is the Machine Learning algorithm platform based on Flink, developed by the PAI team of Alibaba computing platform.
machine-learning data-mining statistics kafka graph-algorithms clustering word2vec regression xgboost classification recommender recommender-system apriori feature-engineering flink fm flink-ml graph-embedding flink-machine-learning
Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
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Book_6_《数据有道》 | 鸢尾花书:从加减乘除到机器学习;欢迎大家批评指正!纠错多的同学会得到赠书感谢!
Apache Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing and metadata. Runs and scales everywhere python does.
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A low code Machine Learning personalized ranking service for articles, listings, search results, recommendations that boosts user engagement. A friendly Learn-to-Rank engine
search kubernetes data-science machine-learning scala deep-learning personalization data-engineering feature-extraction ranking neural-networks feature-engineering automl
Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Tick Data.
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Feature engineering and selection open-source Python library compatible with sklearn.
python data-science machine-learning scikit-learn feature-selection feature-extraction feature-engineering
TransmogrifAI (pronounced trăns-mŏgˈrə-fī) is an AutoML library for building modular, reusable, strongly typed machine learning workflows on Apache Spark with minimal hand-tuning
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The Virtual Feature Store. Turn your existing data infrastructure into a feature store.
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Feathr – A scalable, unified data and AI engineering platform for enterprise
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Intelligent Trading Bot: Automatically generating signals and trading based on machine learning and feature engineering
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Deep Learning and Machine Learning stocks represent promising opportunities for both long-term and short-term investors and traders.
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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 Guide for Feature Engineering and Feature Selection, with implementations and examples in Python.
[UNMAINTAINED] Automated machine learning for analytics & production
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Automated Time Series Forecasting
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