You should specify what pandas must do with the other columns. In your case, I think you want to keep one row, regardless of its position within the group.
This could be done with agg on a group. agg accepts a parameter that specifies what operation should be performed for each column.
df.groupby(['name'], as_index=False).agg({'value1': 'sum', 'value2': 'sum', 'otherstuff1': 'first', 'otherstuff2': 'first'})