metadata_dict = metadata.to_dict() diagnostic = DiagnosticReport() diagnostic.generate(real_data=real, synthetic_data=synthetic_sdv, metadata=metadata_dict, verbose=True) print(“Diagnostic score:”, diagnostic.get_score()) quality = QualityReport() quality.generate(real_data=real, synthetic_data=synthetic_sdv, metadata=metadata_dict, verbose=True) print(“Quality score:”, quality.get_score()) def show_report_details(report, title): print(f”n===== {title} details =====”) …
Tag:
Indepth
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Generative AI
ChatGPT’s in-depth research tool adds a built-in document viewer so you can read its reports
OpenAI is updating ChatGPT’s deep research tools With full-screen viewer Which you can use to scroll and navigate to specific areas of its AI-generated reports. As shown in A Video …
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Generative AI
An In-depth Study of Coding in Distinct Computer Vision with Cornea Using Geometry Optimization, LOFTR Matching, and GPU Augmentation
We provide an advanced, end-to-end implementation cornea Tutorial and demonstrate how modern, disparate computer vision can be built entirely in PyTorch. We start by building GPU-accelerated, synchronized enhancement pipelines for …