Python package for the evaluation of odometry and SLAM
Resources for SiTAR, a situated trajectory analysis system for AR which provides in-the-wild pose error estimates
Timestamp Align between the trajs. from VICON & Estimated from Algo.
Cline is an AI coding assistant that keeps a log of what it did. Clinescope reads that log and tells you: whether it used the tools you expected, whether its edit instructions were in the form Cline needs, whether it retyped whole blocks instead of making small changes, and whether it retried the edits that failed.
A world model as a judge: early, auditable verdicts on partial robot-manipulation rollouts
Toolkits for trajectory alignment and evaluation
Sanity checks for using small VLM rerankers (Qwen3‑VL 2B) to score candidate driving trajectories from natural‑language instructions.
Clean public mirror for a biology tool-use trajectory benchmark with validated Stage A post-training artifacts
6-DoF ego-motion estimation in CARLA using RGB-D visual odometry — ORB features, PnP-RANSAC, and ATE evaluation
End-to-end agent evaluation — trajectory eval, tool-use correctness, cost-per-task, latency budgets, regression suites with golden trajectories, LLM-as-judge with calibration. For full agent runs, not just classifiers.
Evaluate SLAM trajectory accuracy against ground truth — APE, RPE, Umeyama alignment, and publication-ready plots. No ROS required.
Final project for Product School's AI Evals certification. Ascend IQ, a competitive-intelligence agent for Fortune 500 strategists, audited for a ship-or-hold call: strategy canvas, failure taxonomy, three-layer eval suite, trajectory scorecard, judge calibration, CI gates, coverage and budget, and a HOLD memo with deck.
Time-travel debugging for AI agents: record, fork and replay runs, trajectory evaluation, MCP server
Agentic AI for pharmaceutical supply operations, and the trajectory eval harness that proves it works. Measures the path not just the answer: tool precision, step efficiency, hallucinated-argument rate, unauthorized-write detection, loop/budget controls, and a CI release gate. Zero runtime deps, runs offline.
Provider-neutral AI evaluation toolkit for reusable test cases, regression datasets, provider adapters, deterministic and LLM judges, agent trajectory and security evaluation, statistical analysis, quality/cost/latency trade-offs, online experiments, evidence guardrails, and release gates.
Camera, LiDAR and IMU fault-injection benchmark with timing, synchronization and trajectory diagnostics.
AttendingScorer: An End-to-End Driving Evaluator that Reads Out Trajectory Evaluation Score from Latent of Vision-Language-Model — project page (Motional & NVIDIA Research Team)
Build OR optimization models with Openpangu-7B, supporting fine-tuning, automated modeling, constraint generation, and variable pruning
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