Learn fast, scalable, and calibrated measures of uncertainty using neural networks!
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Updated
Aug 31, 2021 - Python
Learn fast, scalable, and calibrated measures of uncertainty using neural networks!
AI said it finished. Flyto2 shows the proof.
AGI-oriented, hallucination-resistant AI coding runtime grounded in evidence, tools, memory, agents, and verification.
Local execution trees for TypeScript AI agents. agent-inspect helps you understand what happened inside an AI agent run — locally. It turns manual steps, tool calls, LLM calls, structured logs, failures, durations, and run metadata into readable execution trees you can inspect from the terminal. It is built for TypeScript/Node.js developers..
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PowerShell script designed to help Incident Responders collect forensic evidence from local and remote Windows devices.
CameraV: InformaCam Default Android App
Synthetic difference in differences for Python
It records your screenshots and code, then lets you upload to ASHIRT
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Bayesian fitting package
Evidence & Conclusion Ontology development site: Use ISSUES to request terms. See WIKI for how to request terms. See README for how to cite ECO. Visit our website for more project info.
Xenon — Agent Harness for AI coding agents. 7 种可替换推理范式 + Evidence Runtime 验证闭环(工具结果是 Evidence,LLM 输出只是 Claim)+ 执行隔离边界 + 可复现评测链路。交互与 SWE-bench 评测共享同一组约束,故 40.0% 实例级通过率(同模型 A/B +6.7pp)对日常使用同样成立。Python,可当 CLI 用也可当库嵌入。
Open source platform for covert data exfiltration operations, supporting all device types: computers, servers, mobile phones, tablets, pen drives and photo cameras.
Ontology for representing scientific evidence and provenance information
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