Python Open-source package that ensures robust and reliable ML models deployments
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Updated
Jan 9, 2026 - Python
Python Open-source package that ensures robust and reliable ML models deployments
MLBuild enforces inference performance SLAs in CI, automatically blocking slow ML models before they reach production.
Agentic Workflow Evaluation: Text Summarization Agent. This project includes an AI agent evaluation workflow using a text summarization model with OpenAI API and Transformers library. It follows an iterative approach: generate summaries, analyze metrics, adjust parameters, and retest to refine AI agents for accuracy, readability, and performance.
Causal analysis framework using Double Machine Learning to quantitatively isolate the effect of model size on deep learning performance while controlling for confounders such as dataset size, training time, and hyperparameters.
Source code for Cyber-Attack Monitoring and Detection using Machine Learning Techniques paper
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