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Independent publisher

Kicaulah

Kicaulah

Models in Library2
Datasets in Library1
Models on Hugging Face8
Followers1

Compare the published evidence

This profile connects the 3 model and dataset records shown below to their upstream cards and sources. The library counts describe SAVRN's coverage, rather than this publisher's entire output.

Published tasks: Text classification, Text generation.

Reported licenses: cc-by-4.0, mit. Open a record to review its specific license and conditions.

Compare model specifications, source dates, and hardware estimates on the individual records. Publisher identity verification is separate from a model's quality, deployment readiness, or suitability for your work.

Models

Model · Text generation

polyglot-bughunter-x

Kicaulah

Bro, imagine an AI that can see, hear, and read a website while hunting bugs at the same time. Yeah, that's PolyglotBugHunter-X. Try it live — one click, no install, no server, runs in your browser. A multimodal agent for automated web security testing. It reads pages (text), looks at rendered output (image), and listens to uploads (audio) at the same time, then reports what it found with CVSS v3.1 scores and evidence you can re-check. It ships 43 detection payloads across 8 bug classes (24 of them polyglot — single strings that are simultaneously plausible HTML, JS, SQL and shell), a payload-routing engine that guesses the right vector from the parameter name, and a scoring profile. This…

Open weights mit transformers

Production-grade machine learning models for customer churn risk classification (forward 90-day inactivity) and customer lifetime value (LTV) regression (forward 180-day net spend), trained on the validated UCI Online Retail II dataset. - Models were validated using strict temporal cohort splits across monthly cutoff dates (2010-03-01 through 2011-06-01). - Random K-fold splitting was strictly avoided to prevent temporal leakage and lookahead bias. Using cost-benefit scenario analysis on test cohort ($N=4,324$): - Unit Contact Cost ($c$): £2.50 - Retention Offer / Incentive ($d$): £15.00 - Customer Lifetime Value Recovered ($v$): £45.00 - Uplift / Success Rate ($u$): 15% (Base Scenario) The…

Open weights cc-by-4.0 scikit-learn

Datasets

Dataset · Text classification

polyglot-bug-patterns

Kicaulah

Bro, imagine a dataset of 43 non-destructive attack payloads across 8 bug classes — 24 of them polyglot, meaning a single string that's simultaneously plausible HTML, JS, SQL and shell, so it escapes whatever context your app dropped it into. Plus real detector output from a full multimodal scan. Everything here is synthesised or locally generated. No real-world traffic, no scraped data, no user data. Each config ships JSONL and Parquet, so both of these work: Every payload carries a unique marker (PBHX7) so reflection is unambiguous — that's what makes these usable as training signal for a detector or as a fixture in your own test suite. This is a defensive dataset. Concretely: Every…

Publicly accessible mit n<1K