Capture every activation and gradient of any PyTorch model — forward and backward — with automatic graph visualization, rich metadata, and live interventions. Works on any architecture, including dynamic and recurrent ones.
nnDetection is a self-configuring framework for 3D (volumetric) medical object detection which can be applied to new data sets without manual intervention. It includes guides for 12 data sets that were used to develop and evaluate the performance of the proposed method.
An autonomous AI agentic harness built to code anything, automate terminals, perform cybersecurity tasks, and execute complex real-world workflows with minimal human intervention. From writing and debugging code to analyzing systems, managing files, running commands, and orchestrating tools, Agent-2 turns simple prompts into autonomous execution.
Python-first systemic-risk research software for evidence-graded, bitemporal dependency graphs. Import JSON, CSV, GraphML, or NetworkX; run bounded shocks, compare constrained interventions and sensitivity surfaces, and export recomputation-verifiable RiskPacks. Includes 16 scenario-only cases and 11 connector contracts.