Machine Learning For Software Engineers
ZuzooVn
A complete daily plan for studying to become a machine learning engineer.
OPENAGENTSKILL / DIRECTORY
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1–16 / 23
Candidates in this shortlist, not the full registry. GitHub stars belong to repositories, not individual skills.
Results: 23
ZuzooVn
A complete daily plan for studying to become a machine learning engineer.
argilla-io
Argilla is a collaboration tool for AI engineers and domain experts to build high-quality datasets
HumanSignal
Label Studio is a multi-type data labeling and annotation tool with standardized output format
GokuMohandas
Learn how to develop, deploy and iterate on production-grade ML applications.
fivetran
Always know what to expect from your data.
eugeneyan
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
doccano
Open source annotation tool for machine learning practitioners.
openmlsys
《Machine Learning Systems: Design and Implementation》 (V2 is launching soon)
microsoft
Debugging, monitoring and visualization for Python Machine Learning and Data Science
kedro-org
Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are…
vwxyzjn
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
cleanlab
Cleanlab's open-source library is the standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.
EpistasisLab
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
grobidOrg
A machine learning software for extracting information from scholarly documents