Simple library for generating 'predictive,' ebooks-esque text using word pairs
Davis AI - Predictive and Causal
The Predictive Document Verification (DocV) SDK React Native bridge allows you to use the DocV SDK v5 for Android and iOS in your React Native application.
Cheminformatics support: import, rendering, sketching, calculation of properties, predictive models, augmentations, multiple analyses.
Type definitions in used in the modeling (lexical model/predictive text) component of Keyman.
JavaScript library for building predictive user interfaces.
Predictive token gating context engine and diagnostics for OpenClaw.
A geolocation predictive
AI predictive text completion for React
AI-powered memory intelligence SDK with predictive recall for LanOnasis Memory-as-a-Service
Generator for SageMaker AI BYOC paradigm for predictive inference use-cases.
Predictive HTML parser and streaming artifact toolkit for AI-generated static HTML previews.
Type definitions in used in the modeling (lexical model/predictive text) component of Keyman.
AI-powered test intelligence plugin for predictive test selection, flaky detection, and coverage optimization
<div align="center"> <h1>@angularai/predictive-input</h1> <p>🧠 AI-powered predictive text input for Angular applications</p>
Dato Predictive Service Client makes it easy to make REST API calls to Dato Predictive Service.
The api for handling the ajax version of predictive search
AI-powered predictive text input for Vue 3 - Learns writing patterns, suggests complete sentences with context-aware predictions and multi-language support
Node-RED Nodes for anomaly detection, predictive maintenance, and time series analysis
AI-powered test intelligence plugin for predictive test selection, flaky detection, and coverage optimization
Predictive outdoor temperature for heating curve control using weather forecast and solar UV correction
Transition memory implementations for StatePilot predictive browser workflows.
Official JavaScript/TypeScript SDK for Vehk Axle Fleet Management, GPS Tracking & Predictive Maintenance Platform
React library for building predictive user interfaces.
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.
Predictive loader
Karl Friston's Free Energy Principle / Predictive Processing framework for brain-modeled agentic AI
Andy Clark's Predictive Processing / Active Inference for brain-modeled agentic AI: generative models, precision-weighting, active inference, and free energy minimization
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.
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