Xcessiv vs cnvrg.io
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A web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling in Python. | It is an AI OS, transforming the way enterprises manage, scale and accelerate AI and data science development from research to production. The code-first platform is built by data scientists, for data scientists and offers unrivaled flexibility to run on-premise or cloud. |
Fully define your data source, cross-validation process, relevant metrics, and base learners with Python code;Any model following the Scikit-learn API can be used as a base learner;Task queue based architecture lets you take full advantage of multiple cores and embarrassingly parallel hyperparameter searches;Direct integration with TPOT for automated pipeline construction;Automated hyperparameter search through Bayesian optimization;Easy management and comparison of hundreds of different model-hyperparameter combinations;Automatic saving of generated secondary meta-features;Stacked ensemble creation in a few clicks;Automated ensemble construction through greedy forward model selection;Export your stacked ensemble as a standalone Python file to support multiple levels of stacking | Machine Learning Pipelines; AI Library; Open Compute; Dataset Management; Machine Learning Tracking; Machine Learning Model Deployment; Scalable Streaming Endpoints |
Statistics | |
GitHub Stars 1.3K | GitHub Stars - |
GitHub Forks 105 | GitHub Forks - |
Stacks 0 | Stacks 11 |
Followers 7 | Followers 22 |
Votes 0 | Votes 0 |
Integrations | |
What are some alternatives to Xcessiv, cnvrg.io?
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