<｜begin▁of▁sentence｜>### Instruction:
Given the neural network graph of the C. elegans, which can be read from a GML file named celegansneural.gml, can you perform community detection using both the Louvain and Leiden algorithms in cdlib, and then compute the Normalized F1 score to evaluate the similarity between the two resulting community partitions?
### Response:
import networkx as nx
from cdlib import algorithms, evaluation

# Load the neural network of C. elegans
G = nx.read_gml('celegansneural.gml')

# Perform community detection using Louvain and Leiden algorithms
louvain_communities = algorithms.louvain(G)
leiden_communities = algorithms.leiden(G)

# Compute the Normalized F1 score between the two community partitions
nf1_score = evaluation.nf1(louvain_communities, leiden_communities)

print(nf1_score)
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