Lightweight framework (Node/browser)
Compute a moving residual sum of squares (RSS) incrementally.
Compute the residual sum of squares (RSS) incrementally.
Compute the residual sum of squares of two double-precision floating-point strided arrays.
Compute the square root of the residual sum of squares of two double-precision floating-point strided arrays.
Compute the residual sum of squares of two double-precision floating-point strided arrays using Blue's algorithm.
Find Chi Square, P-value, Degree of Freedom, adjusted residual values of a contingency Table ie, two dimensional array
Compute the residual sum of squares of two double-precision floating-point strided arrays using an improved Kahan-Babuška algorithm.
Residual Scroll
Nodejs module that calculates the standard deviation residual of a dataset
A minimal CLI that sends unwanted macOS apps—and their residual files—into the void.
Simple time series decomposition into trend, seasonal, and residual components
This project aims to correct the residual calculation problem
ESRGAN Default Model for UpscalerJS. Upscale images and increase image resolution with AI using Javascript
ESRGAN Slim Model for UpscalerJS. Upscale images and increase image resolution with AI using Javascript
ESRGAN Thick Model for UpscalerJS. Upscale images and increase image resolution with AI using Javascript
ESRGAN Medium Model for UpscalerJS. Upscale images and increase image resolution with AI using Javascript
ESRGAN Legacy Models for UpscalerJS. Upscale images and increase image resolution with AI using Javascript
Zero-jitter stealth payload for mochi — JIT-friendly proxies installed before any page script.
Algebraic compressor for GF(2⁸) linear recurrences — Berlekamp-Massey + LFSR encoding for PRBS streams, firmware, and telecom payloads
一个用于快速删除残余文件的webpack插件
High-performance API and Model Context Protocol (MCP) server for validating Mermaid diagrams with comprehensive security features, multiple transport options, and enterprise-grade capabilities
Open JS agent harness built on pi-mono, floosie, xstate, and anentrypoint-design
Search papers and fetch metadata from open access APIs and services
Vorbis I audio codec — orphan-rebuild scaffold pending clean-room re-implementation.
Deterministic structural semiotics engine for residual-based meaning extraction with reproducible artifacts
Nonlinear optimization framework with compile-time symbolic differentiation
Proc macros for the arael optimization framework: #[arael::model], constraint codegen
DSFB-RF Structural Semiotics Engine for RF Signal Monitoring - A Deterministic, Non-Intrusive Observer Layer for Typed Structural Interpretation of IQ Residual Streams in Electronic Warfare, Spectrum Monitoring, and Cognitive Radio
Deterministic spectral residual inference demonstrator for swarm interaction networks
DSFB deterministic residual structuring framework for Upstream and Midstream Oil and Gas systems. A deterministic, read-only, observer-only augmentation layer for typed residual interpretation. The core engine is no_std + no_alloc. Unsafe code is forbidden in the library. Dataset loading, fleet evaluation, reporting, and executable examples are std-gated.
Deterministic DSFB semiconductor benchmark companion for SECOM and PHM-style dataset adapters
A library for calculating quadratic residues of integers
Minimal DSFB-for-computer-graphics research artifact for temporal accumulation supervision
DSFB Structural Semiotics Calculus — typed residual sign framework, grammar FSM, endoductive operator, and provenance engine. Rust type-level realization of the DSSC formal calculus (Invariant Forge LLC, April 2026).
DSFB-Database: deterministic, read-only structural observer for residual trajectories in SQL database telemetry. Empirical prior-art demonstration on Snowset, SQLShare, CEB, JOB, and TPC-DS.
Models residual cognitive activation from previous processing. Recent thoughts leave echoes that decay over time but influence current processing through priming and interference effects.
Use modular arithmetic and residue classes to calculate schedule availability for dates and times.
Models the cognitive cost of switching between tasks including residual activation, warmup time, context restoration, and practice effects.
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