High-performance engine for capturing, modifying, and converting DOM elements into any format.
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Updated
Aug 13, 2026 - JavaScript
High-performance engine for capturing, modifying, and converting DOM elements into any format.
[IMC 2020 (Best Paper Finalist)] Using GANs for Sharing Networked Time Series Data: Challenges, Initial Promise, and Open Questions
Code base for the precision, recall, density, and coverage metrics for generative models. ICML 2020.
UI regression and fidelity testing framework
Visual Information Fidelity Code - Python
Official implementation of the Fréchet Radiomic Distance
Counterfactual Local Explanations of AI systems
Zero-LLM agent memory for Claude Code and AI agents: local-first BM25, dense-vector, and reciprocal-rank-fusion retrieval. Returns original passages verbatim by default. Available on PyPI as fidelis-memory. MIT.
Autocurator is a comprehensive benchmarking toolkit for evaluating synthetic tabular data. It measures fidelity, coverage, privacy, and utility through quantitative metrics, visual reports, and PCA/correlation diagnostics. Ideal for validating VAE, GAN, Copula, or Diffusion-generated datasets.
A narrative and technical exploration of data authenticity through the four pillars of synthetic data realism, Fidelity, Coverage, Privacy, and Utility. This thought-leadership piece combines storytelling, mathematics, and code to explain how these metrics define the ethical and functional “soul” of data in AI systems.
Fidelity cards & Barcode manager for keepass2android
a robust metric (robust fidelity) for XGNN (ICLR24)
Migrated to https://github.com/helcel-net/keepass-fidelity
THIS REPO IS NO LONGER MAINTAINED: A fast and simple Promise/A+ implementation
Self-hosted portfolio analytics for self-directed Fidelity investors. Compare your returns to a passive benchmark, adjusted for risk, drawdowns, concentration, and style factors.
Ein Java-Client für FFB-Depots. Features: Stammdaten und Depotbestände abholen, Depotperformance ermitteln.
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