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Awesome GitHub RepositoriesMeta Learning Frameworks
Systems for encapsulating data and parameters into tasks for adaptive learning.
Distinguishing note: Focuses on task-based meta-learning rather than standard supervised learning.
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Awesome Meta Learning Frameworks GitHub Repositories
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- microsoft/qlib
microsoft/qlib
37,586View on GitHubThis project is a comprehensive platform for quantitative investment research, machine learning, and algorithmic trading. It provides an end-to-end environment for developing, testing, and executing financial strategies, supporting the entire lifecycle from data ingestion and feature engineering to model training and backtesting. The system is distinguished by its configuration-driven workflow orchestration, which allows researchers to automate complex pipelines and manage experiments through declarative files. It features a high-performance data infrastructure that utilizes custom binary for
Learns patterns across multiple forecasting tasks to apply acquired knowledge toward guiding future model training.
Pythonalgorithmic-tradingauto-quantdeep-learning
