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MCP servers and skills: search, filter by where they run, and compare.
MCP servers and skills: search, filter by where they run, and compare.
3D content in Remotion using Three.js and React Three Fiber.
OfficialInstructionsApache-2.0★ 19k in collectionNo key
NVPanoptix3D for panoptic 3D scene reconstruction from posed RGB images. Produces 3D panoptic segmentation (semantic, instance, and panoptic masks) with occupancy completion. Built on a VGGT backbone
OfficialSkillApache-2.0★ 3.6k in collectionNo key
Deploy and operate the RTVI-CV-3D microservice as MV3DT (`MODE=mv3dt`): per-camera DeepStream perception plus BEV Fusion over calibrated cameras. Supports the bundled sample dataset, custom video file
OfficialSkillApache-2.0★ 3.6k in collectionNo key
React Three Fiber 3D renderer for json-render. Use when working with @json-render/react-three-fiber, building 3D scenes from JSON specs, rendering meshes/lights/models/environments, or integrating Thr
OfficialSkillApache-2.0★ 19k in collectionNo key
Sparse4D for multi-camera temporal 3D object detection and tracking. Uses sparse queries with deformable attention across camera views and time for end-to-end 3D perception, with an instance bank for
OfficialSkillApache-2.0★ 3.6k in collectionNo key
BEVFusion for multi-sensor 3D object detection. Fuses LiDAR point clouds and camera images in bird's-eye-view (BEV) space, used in autonomous driving for robust 3D perception. Use when training, evalu
OfficialSkillApache-2.0★ 3.6k in collectionNo key
Run and operate the DeepStream Multi-View 3D Tracking reference app, also known as MV3DT. Use when the user asks to set up prerequisites, run shipped MV3DT samples, run Multi-View 3D Tracking on custo
OfficialSkillCC-BY-4.0 AND Apache-2.0★ 3.6k in collectionNo key
Practical guidance for training MoE VLMs in Megatron Bridge. Compares FSDP and 3D-parallel approaches, using rounded lessons from Qwen3-VL, Qwen3-Next, and other multimodal experiments.
OfficialSkillApache-2.0★ 3.6k in collectionNo key
PointPillars for 3D object detection from LiDAR point clouds. Encodes point clouds into a pseudo-image via a pillar-based representation, then applies 2D detection — used in autonomous driving and rob
OfficialSkillApache-2.0★ 3.6k in collectionNo key
Authoring and debugging scripts for Rhinoceros 3D (Rhino 8 and later). Use when asked to write RhinoScript (VBScript / .rvb / .vbs), RhinoPython, or RhinoCommon-based scripts; automate Rhino modeling
OfficialSkillMIT★ 40k in collectionNo key
Expert skill for building web-based game engines and games using HTML5, Canvas, WebGL, and JavaScript. Use when asked to create games, build game engines, implement game physics, handle collision dete
OfficialSkillMIT★ 40k in collectionNo key
Stereo depth estimation using FoundationStereo. Predicts disparity maps from stereo image pairs for 3D reconstruction. Use when training, evaluating, exporting, or running inference for a TAO Foundati
OfficialSkillApache-2.0★ 3.6k in collectionNo key
Run NV-Reason-CT inference on user-provided 3D NIfTI chest or abdominal CT volumes for engineering and research workflows. Not for diagnosis, treatment, or clinical reporting.
OfficialSkillApache-2.0★ 3.6k in collectionNo key
Best practices for Remotion - Video creation in React
OfficialSkillApache-2.0★ 19k in collectionNo key
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