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
6-DoF ego-motion estimation in CARLA using RGB-D visual odometry — ORB features, PnP-RANSAC, and ATE evaluation
Agent evaluation studio: refund agent, 7 deterministic trajectory and behaviour metrics hardened against gaming, human-review payouts, and a CI-checked v1→v2 improvement loop. Offline, stdlib only.
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.
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.
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
Evaluate SLAM trajectory accuracy against ground truth — APE, RPE, Umeyama alignment, and publication-ready plots. No ROS required.
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 Python library for LLM and AI evaluation, regression testing, statistical release gates, judge calibration, and auditable evaluation evidence.
Camera, LiDAR and IMU fault-injection benchmark with timing, synchronization and trajectory diagnostics.
Evaluate a LangGraph agent with the LangSmith SDK, 100% offline: evaluate() with correctness, trajectory matching, a local LLM-as-judge critic, pairwise A/B and a CI regression gate.
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)
Time-travel debugging for AI agents: record, fork and replay runs, trajectory evaluation, MCP server
Build OR optimization models with Openpangu-7B, supporting fine-tuning, automated modeling, constraint generation, and variable pruning
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