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ml-framework

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deep_classiflie

Deep Classiflie is a framework for developing ML models that bolster fact-checking efficiency. As a POC, the initial alpha release of Deep Classiflie generates/analyzes a model that continuously classifies a single individual's statements (Donald Trump) using a single ground truth labeling source (The Washington Post). For statements the model d…

  • Updated Aug 22, 2023
  • Python
object-detection-framework

A Pythonic approach to object detection using Detectron2, a clean, modular framework for training and deploying computer vision models. DetectX simplifies the complexity of object detection while maintaining high performance and extensibility.

  • Updated Sep 27, 2025
  • Python

MLU is a modular ML toolkit resembling lodash, streamlining from data prep to deployment with chainable utility functions. It enhances ML workflows, seamlessly integrates with top frameworks, and supports efficient data handling and model evaluation. Open-source, MLU welcomes contributions to foster innovation and efficiency in the ML community.

  • Updated Mar 18, 2024
  • Python

Advanced regression analysis suite featuring KNN optimization, multi-algorithm comparison, hyperparameter tuning with Optuna, and production-ready ML pipelines with comprehensive model evaluation and visualization.

  • Updated Oct 29, 2025
  • Python

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