neuron-explorer
Qwen3.5‑4B 전용 조향형 뉴런 탐색기, 모든 MLP 뉴런을 밀어 결과를 보관·탐색
README 전체를 불러오는 중입니다. 아래는 저장된 발췌입니다.
The unified framework for high-fidelity ego-centric and robotics data collection.
Isaac Teleop: The unified standard for high-fidelity egocentric and robot data collection.
It is designed to address the data bottleneck in robot learning by streamlining device integration;
standardizing high-fidelity human demo data collection; and foster device & data interoperability.
• Unified stack for sim & real teleoperation
• Standardized device interface
• Flexible retargeting frameworkREADME 전문 보기 ↗Shared capture infrastructure for teleoperation and egocentric data.
Isaac Capture provides shared infrastructure for collecting human and robot demonstration data. It brings together two components:
Both components use a shared core of device plugins, retargeters, and data utilities for recording, replaying, and converting data. Isaac Teleop remains a component of Isaac Capture, with its existing functionality preserved.
Our documentation page provides everything you need to get started, including detailed tutorials and step-by-step guides. Follow these links to learn more:
The CTS records one scripted take from a hand-tracking or full-body device and checks it against the data a retargeter needs; start with the hand or full-body guide.
The latest NVIDIA Isaac Lab release, 3.0.0 EA, includes Isaac Capture, previously released as Isaac Teleop.
To get started, please refer to Isaac Lab's Installation guide for more details. Then follow the CloudXR teleoperation in Isaac Lab to get started with Teleoperation in Sim.
The default license is Apache-2.0. EgoPost is licensed under OpenMDW-1.1. Third-party materials may carry their own licenses.