1 repo
Awesome GitHub RepositoriesTask Metadata Management
Systems for managing task-specific data and metadata in machine learning pipelines.
Distinguishing note: Focuses on the configuration and state management of ML tasks.
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Awesome Task Metadata Management 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
Stores task-specific data and metadata to support flexible processing modes during training and testing.
Pythonalgorithmic-tradingauto-quantdeep-learning
