Predictable state container for JavaScript apps
No description provided.
Sorts any JavaScript array in a predictable way (deep equal arrays are always sorted in the same order)
Flattens React children and fragments to an array with predictable and stable keys
Easy, predictable form state management for React
Accurate and predictable testing of requestAnimationFrame and cancelAnimationFrame
Easy, predictable form state management for React
Easy, predictable form state management for React
List of SPDX licenses with predictable placeholders
Explicit states for predictable user experiences
Minimalistic, opinionated, and predictable release automation tool.
Predictable data-loading APIs for Ember Data
Easy and predictable media queries
Display a predictable inline code HTML element that works on all email clients
Distributed predictable state container
**Workers.js** runs your code in isolation for predictable execution.
Generate predictable and unique identifiers composed of adjectives and animal names
Easy, predictable form state management for React
Explicit states for predictable user experiences
idempotent and predictable encodeURIComponent
Vast is a tiny state container inspired by React's `useState`, designed for libraries that need predictable, reusable state without a UI framework.
A runtime-agnostic, composable library for writing predictable operations in TypeScript.
Predictable colors generator from a seed
A predictable and observable state container for React apps
Conformal prediction SDK/CLI for neural trading with guaranteed intervals
Conformal prediction with formal verification: CPD, PCP, streaming calibration, and Lean4 proofs
Hybridized predictive training framework with warmup, full-train, predict, and residual correction phases for accelerated deep learning
FFI-free Rust implementation of LIBSVM-compatible SVM training and prediction
A multi-modal neural network focused on maternal health predictions
CLI, MCP server, and Rust SDK for the Raiju AI calibration arena. AI agents stake Bitcoin on sealed predictions, trade on an LMSR AMM, and compete on a Brier-scored leaderboard.
HS code prediction for chemical products — Akinator-style interactive classification with rule-based and LLM hybrid engine
AI agents focused on processing ohlcv data structures.
Temporal Attractor Studio - Real FTLE calculation and temporal dynamics prediction with VP-tree optimization
Rust SDK for the Predict.fun prediction market API — EIP-712 order signing, REST client, WebSocket feeds, and execution pipeline
Deterministic training optimization using VSA compression and closed-form gradient prediction
Declarative Kalman filtering from dynamics expressions. Write the physics, derive the filter.
Ruby/Rails DSL for Prediction.io, an open source machine learning server.
Fast and efficient recommendations and predictions using Redis
Run and manage multiple processes in separate fibers with predictable behaviour.
The tool validates the input predicted genes and provides useful information (length validation, gene merge validation, sequence duplication checking, ORF finding) based on the similarities to genes in public databases.
DEPRECATED PROJECT. MIGRATED TO PYTHON: https://github.com/seoanezonjic/pets. PETS suite includes three different tools. CohortAnalyzer performs the calculation of several statistics that gives an overview of a cohort of patients to analyse. Reg2Phen uses associations between pathological phenotypes and regions of the genome (these associations can be calculated from the cohort of patients if they include genotypic & phenotypic information using NetAnalyzer, another Ruby gem) to find, for a given genomic region, which pathological phenotypes have been associated with that region. The third tool, Phen2Reg, is a predictor that using the same associations as Reg2Phen, predicts which genomic regions can be the cause of a list of pathological phenotypes observed in a patient.
Sooth is a simple stochastic predictive model.
Type in your question to get your fortune!
Hash serialisation that writes key/value pairs in a predictable order
Implementation of simple bug prediction hotspot heuristic
returns true if the given number is even, otherwise returns false.
Generates an auth token from a google account Trains using the auth token and data uploaded to Google Storage for Developers Checks the training status Predicts outputs when given new input
Defers saving of nested associations by ID, and adds dirty tracking of said associations to parent model
No description provided.
No description provided.
No description provided.
No description provided.
No description provided.
No description provided.
No description provided.
No description provided.
No description provided.
No description provided.
No description provided.
No description provided.