Kimodo-G1-RP-v1
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Kimodo-G1-SEED-v1
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View details ↗Kimodo-SMPLX-RP-v1
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View details ↗Kimodo-SOMA-RP-v1
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View details ↗Kimodo-SOMA-RP-v1.1
NVIDIAKimodo (**Ki**nematic **Mo**tion **D**iffusi**o**n) generates three-dimensional (3D) skeletal body animations given a text prompt and/or constraints on the motion like full-body poses, end-effector joint positions, paths, and waypoints to follow. The Kimodo model family includes models trained on different skeletons and datasets: * Kimodo-SOMA-RP * Trained on the 30-joint SOMA skeleton with the proprietary Bones Rigplay dataset. * Kimodo-SOMA-SEED * Trained on the 30-joint SOMA skeleton with the open Bones-SEED dataset. * Kimodo-G1-RP * Trained on the proprietary Bones Rigplay dataset retargeted to the 34-joint Unitree G1 robot skeleton. * Kimodo-G1-SEED * Trained on the open Bones-SEED dataset retargeted to the 34-joint Unitree G1 robot skeleton. * Kimodo-SMPLX-RP * Trained on the proprietary Bones Rigplay dataset retargeted to the 22-joint SMPLX-body skeleton. Kimodo-SOMA-RP-v1.1 contains minor improvements over Kimodo-SOMA-RP-v1 and makes the model compatible with the Kimodo Motion Generation Benchmark:
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View details ↗Kimodo-SOMA-RP-v1.2
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View details ↗Kimodo-SOMA-SEED-v1
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View details ↗Kimodo-SOMA-SEED-v1.1
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View details ↗kokoro-82M-onnx-opt
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View details ↗Kumo-Anomaly
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View details ↗Kumo-Forecast
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View details ↗Kumo-Relational
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View details ↗Kumo-Tabular
NVIDIAKumo Tabular is NVIDIA's pretrained tabular foundation model for classification and regression. Install `structured-data-models` for inference: To learn more, visit structured-data-models.
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View details ↗KVzap-linear-Qwen3-32B
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View details ↗KVzap-linear-Qwen3-8B
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View details ↗KVzap-mlp-Qwen3-32B
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View details ↗lidarverse
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View details ↗Llama-2-13B-DMC-4x
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