The bias of a double-precision floating-point number's exponent.
The bias of a half-precision floating-point number's exponent.
The bias of a single-precision floating-point number's exponent.
Build Integration As Service
PoolTogether Solidity Modulo Bias library
MCP server for simple bias detection in text
Color bias game for Koishi
Generate secure, random, uniform integers, compensating for modulo bias
Bias detection (position, length, style) for LLM Judge Toolkit
Generates biased random numbers with a customizable bias level, direction, and range
Terminal CLI for ZPL Engine — independent verification layer for AI output. Score files, clipboard, or stdin for bias / sycophancy / consistency. v1.1.6: fixed inverted-bias regression (20% → 93% match-human rate after sentiment.ts rewrite + negation hand
Deterministic test-enforcement harness — escape-scan, hash-pinning, CRAP, architecture checks, bias detection, Gherkin lint. Companion to the audit-tests and implement-tests Claude Code skills.
A simple, yet rock solid, functional language with an imperative bias, targeting UPLC
A simple, yet rock solid, functional language with an imperative bias, targeting UPLC
TypeScript Bias API client
SolidJS SDK for Bias Elements
React SDK for Bias Elements
AI-powered Health Economics and Outcomes Research (HEOR) MCP server — 28 tools across literature search (44 data sources incl. PubMed/ClinicalTrials.gov/Cochrane/NICE/CADTH/ICER), risk of bias (RoB 2/ROBINS-I/AMSTAR-2), cost-effectiveness modeling (Markov
🗻 Self-use mainland China domain whitelist, full of bias.
Round a number to the floor or ceiling, based on your own set bias
This NPM package quantifies bias in online news articles by scoring words, on a scale of 0 (most negative)-10 (most positive), that show positive or negative emotion.
184 cognitive bias cards + advisor APIs (incl. gen-ui BiasCatalog adapter) for behaviorally-aware design.
Cryptographically secure string generation for Node.js and browsers. Tokens, IDs, passphrases, patterns, expiring tokens — bias-free, zero dependencies, fully typed.
Fuzzy search with bias towards matching tokens
Placeholder for bias
A no_std altitude and vertical-velocity estimator. Fuses barometric pressure with gravity-compensated vertical acceleration via a 3-state complementary observer (altitude, vertical velocity, and accel-bias). Companion to fusion-ahrs.
A flexible Rust library for generating biased random numbers over a given integer range. 一个用于在给定整数范围内生成偏向性随机数的灵活 Rust 库。
Kernel fusion optimization for the Axonml ML framework
Just another (genomic) minhash (Jam) implementation in Rust
AXON — the formal cognitive language: a deterministic, proof-carrying AI runtime. Native Rust lexer/parser/type-checker/IR generator (re-exported from axon-frontend) plus the runtime: typed channels (π-calculus mobility, capability extrusion), algebraic effects via Free Monad CPS handlers, lease kernel + reconcile loop, the Epistemic Security Kernel, Trust Types, Proof-Carrying Code (independently verifiable proof objects), and the closed-catalog extension mechanism. Crate publishes as `axon-lang`; library import is `use axon::*` so existing call sites keep working unchanged.
Ultra-fast command-line tools for cell-free DNA fragmentomics analysis
Estimate the GC-content bias of a BAM by comparing observed vs expected read counts per GC bin over a 2bit genome — Rust port of deeptools computeGCBias (Benjamini & Speed 2012)
Correct the GC-content bias of a BAM into a coverage bedGraph, dividing each fragment by its computeGCBias R_gc factor — Rust port of deeptools correctGCBias (Benjamini & Speed 2012)
A tool that builds smart video playlists by learning your preferences through Bayesian classification.
Safe Rust wrapper for compiled CUTLASS kernels: plan-based GEMM and grouped GEMM with caller-supplied workspace, typed device-buffer arguments, and capture-safe launch.
Lib no_std Rust for native neural network (.rnn)
Cognitive bias detection and correction for brain-modeled agentic AI
EphBpn is a ephemeris(Bias, Precession, Nutation) calculation tool.
Models anchoring biases where fixed reference points pull new information toward them with configurable grip, weight, and chain flexibility
Provides the parent organization of any website, if possible.
A safepoint-based sampling performance profiler that uses actual time deltas as weights to correct safepoint bias. Outputs JSON, pprof, collapsed stacks, or text report.
A safepoint-based sampling performance profiler that uses thread CPU time deltas as weights to correct safepoint bias. Outputs pprof, collapsed stacks, or text report.
Green & Swets' Signal Detection Theory engine for LegionIO: sensitivity (d') and response bias (criterion) modeling
Temporal emotional nostalgia bias for LegionIO agents — rosy retrospection, bittersweet memory detection, and warmth-weighted decision influence
SentinelRb provides automated analysis of AI prompts to identify and flag common antipatterns like irrelevant information, misinformation, bias, and dangerous instructions. Uses LLM-based scoring combined with heuristic pattern matching for comprehensive prompt quality assessment.
Strategic withdrawal engine based on Wrosch et al. goal disengagement theory — detects sunk cost bias, assesses opportunity cost, and recommends disengagement from low-progress goals
Somatic marker hypothesis for brain-modeled agentic AI — internal body-state monitoring, vital signal tracking, and somatic markers that bias decisions based on past outcomes associated with similar internal states.
Future-oriented mental simulation: imagines future scenarios, predicts their emotional impact, tracks impact bias and focalism corrections, and calibrates forecast accuracy over time. Based on Gilbert & Wilson affective forecasting research.
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