Deterministic safety solutions for probabilistic AI agents
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Updated
Jul 10, 2026 - Python
Deterministic safety solutions for probabilistic AI agents
60 deterministic Claude AI skills for Frappe Framework & ERPNext v14-v16 development and operations
A pure Python LR/GLR parser - http://www.igordejanovic.net/parglare/
Official implementation of MSR-GCN (ICCV2021 paper)
CPU and GPU deterministic and therefore fully reproducible machine learning pipelines using MLflow.
A BIP-39 / seed-phrase / brain-wallet based Hierarchical Deterministic GPG / SSH key generator that also provisions OpenPGP smartcards for easy key backup and recovery.
Model-driven synthetic test data for CI/CD and analytics - deterministic, privacy-preserving, and domain-aware. Includes Python APIs, XML pipelines, and MCP/IDE integration to orchestrate realistic datasets for finance, healthcare, and other regulated environments.
Pure-Python reader/writer for VBA macros embedded in Excel / PowerPoint / Word files. Zero dependencies, deterministic round-trip, safe on protected and signed projects.
Pre-execution intent verification for AI agents. Audits what your AI is about to do, not what it says. Zero dependencies, deterministic, hash-sealed.
Deterministic AI defense framework: immutable input filtering, n-model cryptographic hash consensus, and self-learning adaptive rules. Zero dependencies. Hardware-sealed. Patent Pending.
Memory-safe clean-room Rust reimplementation of NetworkX with deterministic graph semantics, differential conformance, and RaptorQ-backed durability.
Deterministically map license strings to their canonical identifiers
Compile an AI agent's repeated workflows into deterministic, auditable routines that replay for free, with a fallback to the agent.
personal-cfo , Reference implementation — 展示非專業投資人如何用確定性運算做退休軌道監控。銀行帳單進,財務報表出,資料留在本地。Fork 後依照你的情況改 config.yaml 就能用。
Stock price prediction using a deterministic algorithm inspired by LSTM, focusing on pattern recognition in historical data.
Deterministic MCP scenario replay for AI agents — create once, replay without LLM inference
Data-oriented systems programming language for high-throughput, deterministic compute pipelines, enforcing a straight-line SIMD execution model and static memory topology for maximum CPU vectorization.
The missing cognitive primitive for AI agents. Decompose any text into classified semantic units — authority, risk, attention, entities. No LLM. Deterministic.
Batch-invariant operations for deterministic LLM inference on Apple Silicon using MLX
💽 deterministic build environment
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