Changelog

Version 0.3.0 (2023-07-15)

Major Features

  • CI/CD Integration: Neural-Scope can now be integrated into CI/CD pipelines for automated model optimization

  • Pre-trained Model Support: Added support for fetching and analyzing pre-trained models from multiple sources: - PyTorch Hub - TensorFlow Hub - Hugging Face - SageMaker - ONNX Model Zoo - TensorFlow Model Garden

  • Advanced Security Analysis: Implemented sophisticated vulnerability detection and adversarial robustness testing

  • Model Versioning and Promotion: Added support for model versioning, promotion, and A/B testing

  • MLflow Integration: Track optimization results and model performance with MLflow

Improvements

  • Comprehensive Reporting: Generate detailed HTML and JSON reports with analysis results

  • Configuration-based Analysis: Customize analysis via YAML configuration files

  • Command-line Interface: Unified CLI for all Neural-Scope functionality

Bug Fixes

  • Fixed memory leak in model analysis

  • Improved error handling in optimization process

  • Fixed compatibility issues with newer PyTorch and TensorFlow versions

Version 0.1.0 (2023-01-10)

Initial Release

  • Basic model analysis functionality

  • Algorithm complexity analysis

  • Performance profiling

  • Data quality assessment

  • Cloud cost analysis

  • ML-based optimization recommendations

  • Visualization tools