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Projects sharing features with Awesome Production Machine Learning
30 open-source projects similar to ethicalml/awesome-production-machine-learning, ranked by shared indexed features. Tags may describe platforms or build tools rather than the same primary purpose. Check each project’s use case, license, and deployment requirements before treating it as a replacement.
- eugeneyan/applied-ml
eugeneyan/applied-ml
29,783View on GitHubThis project is a comprehensive, curated knowledge base designed to support the development and maintenance of production-grade machine learning systems. It serves as a centralized repository of industry-standard technical literature, engineering case studies, and research papers, providing a structured reference for practitioners navigating the complexities of modern data science and machine learning engineering. The resource distinguishes itself through a cross-domain approach that bridges the gap between academic research and practical implementation. By synthesizing proven industry archit
applied-data-scienceapplied-machine-learningcomputer-vision - awesomedata/awesome-public-datasets
awesomedata/awesome-public-datasets
75,979View on GitHubThis project is a community-maintained, open-access directory of high-quality public datasets. It serves as a centralized reference point for researchers, developers, and data scientists to locate reliable information sources across a wide spectrum of industries and scientific fields. By providing a structured index, the repository facilitates the discovery of data necessary for exploratory analysis, machine learning model training, and the development of data-intensive applications. The directory distinguishes itself through a lightweight, platform-agnostic approach to resource indexing that
aaron-swartzawesome-public-datasetsdatasets - jphall663/awesome-machine-learning-interpretability
jphall663/awesome-machine-learning-interpretability
4,044View on GitHubA curated list of awesome responsible machine learning resources.
ai-safetyawesomeawesome-list
