10 actions in 10 pieces of software · ranked by words, meaning and measured trust · 585 ms

1. 1tao-train-depth-anything-v2verified and signedpassport

   skillnvidia/skillsrecord

   • tao-train-depth-anything-v2

     Monocular depth estimation using Metric Depth Anything v2 or Relative Depth Anything architectures. Predicts per-pixel depth from single RGB images. Use when training, evaluating, exporting, or running inference for a TAO monocular depth model. Trigger phrases include "train monocular depth", "Depth

2. 2Depth-Anything-V2-Small-hfverified and signedpassport

   modelrecord1,445,117 downloads/month

   • depth-estimation

     Task: depth-estimation

3. 3chenxwh/depth-anything-v2verified and signedpassport

   modelrecord

   • chenxwh/depth-anything-v2

     Depth estimation with faster inference speed, fewer parameters, and higher depth accuracy.

4. 4tao-train-foundation-stereoverified and signedpassport

   skillnvidia/skillsrecord

   • tao-train-foundation-stereo

     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 FoundationStereo model. Trigger phrases include "train stereo depth", "FoundationStereo", "stereo disparity

5. 5tao-train-sparse4dverified and signedpassport

   skillnvidia/skillsrecord

   • tao-train-sparse4d

     Prepare calibrated multi-camera data and train, evaluate, run inference, export, or quantize TAO Sparse4D 3D detection and tracking models. Includes 2D-to-3D geometric distillation with released LTT weights. Use for Sparse4D adaptation and temporal multi-camera perception workflows.

6. 6tao-train-fast-foundation-stereoverified and signedpassport

   skillnvidia/skillsrecord

   • tao-train-fast-foundation-stereo

     Real-time stereo depth estimation using FastFoundationStereo (FFS), the distilled bp2 commercial variant of FoundationStereo. Predicts disparity maps from stereo image pairs with ~10× lower latency than full FoundationStereo. Use when training, evaluating, exporting, or running inference for a TAO F

7. 7cjwbw/depth-anythingverified and signedpassport

   modelrecord

   • cjwbw/depth-anything

     Highly practical solution for robust monocular depth estimation by training on a combination of 1.5M labeled images and 62M+ unlabeled images

8. 8tao-train-nvdinov2verified and signedpassport

   skillnvidia/skillsrecord

   • tao-train-nvdinov2

     NVDINOv2 for self-supervised visual representation learning. Trains vision transformers via self-distillation (teacher-student) without labels and produces general-purpose visual features. Use when training, exporting, or running inference for a TAO NVDINOv2 backbone. Trigger phrases include "train

9. 9tao-train-image-classificationverified and signedpassport

   skillnvidia/skillsrecord

   • tao-train-image-classification

     PyTorch-based TAO image classification. Supports a wide range of backbones (FAN, EfficientNet, ResNet, etc.) with distillation and quantization for deployment. Use when training, evaluating, distilling, quantizing, exporting, or running inference for a TAO image-classification (PyT) model. Trigger p

10. 10tao-train-single-stepverified and signedpassport

    skillnvidia/skillsrecord

    • tao-train-single-step

      Standard single-step train/eval/export workflow for any TAO model. Use when training a TAO model on a dataset without iterative data augmentation, AutoML, or DEFT loops. Trigger phrases include "single train run", "train then evaluate then export", "plain TAO training", "normal training", "no AutoML