Pytorch implementation for "Iterative Human and Automated Identification of Wildlife Images" (Nature -Machine Intelligence, 2021)
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Updated
Nov 3, 2021 - Python
Pytorch implementation for "Iterative Human and Automated Identification of Wildlife Images" (Nature -Machine Intelligence, 2021)
Simulation-based clinical AI decision-support system for behavioral health triage in extreme environments.
Receivables-forecasting cockpit for PayPal invoices: payment-date forecasts with calibrated uncertainty, plus an AI agent that proposes reminders only a human can send. Built on AG Grid AG Studio.
TypeScript client and CLI for the EarnFi Agent API
Declare what your AI system should do. Guardrails enforce it. An LLM-as-Judge verifies it. Humans decide. Covers generative and agentic AI, from internal tools to regulated decisions.
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