LukasHaas

import numpy as np
import pandas as pd
import sklearn

from typing import Dict, Tuple
from sklearn.base import BaseEstimator

class RuleAugmentedEstimator(BaseEstimator):
    """Augments sklearn estimators with rule-based logic.

dvgodoy

torch.manual_seed(42)

x_tensor = torch.from_numpy(x).float()
y_tensor = torch.from_numpy(y).float()

# Builds dataset with ALL data
dataset = TensorDataset(x_tensor, y_tensor)
# Splits randomly into train and validation datasets
train_dataset, val_dataset = random_split(dataset, [80, 20])

bikz05

Table of Contents

• Mathematics for Robotics
• Computer Vision
• Machine Learning
• Planning
• Deep Learning
• Robot Operating System