What YANA covers: Strong primitives — sensing, actuator sizing, quaternion/Euler math, Kalman filter, gyro noise, power model, operational modes. The best-covered category in the orbital group. What ...
Timber takes a trained ML model — XGBoost, LightGBM, scikit-learn, CatBoost, ONNX (tree ensembles, linear models, SVMs, k-NN, Naive Bayes, GPR, Isolation Forest), or a URDF robot description — runs it ...
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