Python-PyTorch实现的NEAT神经进化算法

[{"title":"（ 32 个子文件 42KB ） Python-PyTorch实现的NEAT神经进化算法","children":[{"title":"PyTorch-NEAT-master","children":[{"title":"requirements.txt <span style='color:#111;'> 68B </span>","children":null,"spread":false},{"title":"pytorch_neat","children":[{"title":"aggregations.py <span style='color:#111;'> 871B </span>","children":null,"spread":false},{"title":"multi_env_eval.py <span style='color:#111;'> 2.12KB </span>","children":null,"spread":false},{"title":"activations.py <span style='color:#111;'> 1.24KB </span>","children":null,"spread":false},{"title":"__init__.py <span style='color:#111;'> 0B </span>","children":null,"spread":false},{"title":"turning_t_maze.py <span style='color:#111;'> 5.46KB </span>","children":null,"spread":false},{"title":"dask_helpers.py <span style='color:#111;'> 1.20KB </span>","children":null,"spread":false},{"title":"t_maze.py <span style='color:#111;'> 4.17KB </span>","children":null,"spread":false},{"title":"strict_t_maze.py <span style='color:#111;'> 6.19KB </span>","children":null,"spread":false},{"title":"neat_reporter.py <span style='color:#111;'> 2.92KB </span>","children":null,"spread":false},{"title":"cppn.py <span style='color:#111;'> 8.26KB </span>","children":null,"spread":false},{"title":"adaptive_linear_net.py <span style='color:#111;'> 5.04KB </span>","children":null,"spread":false},{"title":"maze.py <span style='color:#111;'> 5.04KB </span>","children":null,"spread":false},{"title":"adaptive_net.py <span style='color:#111;'> 6.35KB </span>","children":null,"spread":false},{"title":"recurrent_net.py <span style='color:#111;'> 8.50KB </span>","children":null,"spread":false}],"spread":false},{"title":"LICENSE <span style='color:#111;'> 11.09KB </span>","children":null,"spread":false},{"title":"examples","children":[{"title":"simple","children":[{"title":"neat.cfg <span style='color:#111;'> 1.68KB </span>","children":null,"spread":false},{"title":"main.py <span style='color:#111;'> 2.13KB </span>","children":null,"spread":false}],"spread":true},{"title":"adaptive","children":[{"title":"neat.cfg <span style='color:#111;'> 1.77KB </span>","children":null,"spread":false},{"title":"main.py <span style='color:#111;'> 3.98KB </span>","children":null,"spread":false}],"spread":true}],"spread":true},{"title":"README.md <span style='color:#111;'> 3.10KB </span>","children":null,"spread":false},{"title":"tests","children":[{"title":"test-config.cfg <span style='color:#111;'> 1.71KB </span>","children":null,"spread":false},{"title":"__init__.py <span style='color:#111;'> 0B </span>","children":null,"spread":false},{"title":"test_turning_t_maze.py <span style='color:#111;'> 7.75KB </span>","children":null,"spread":false},{"title":"test_recurrent.py <span style='color:#111;'> 6.66KB </span>","children":null,"spread":false},{"title":"test_t_maze.py <span style='color:#111;'> 5.25KB </span>","children":null,"spread":false},{"title":"test_cppn.py <span style='color:#111;'> 3.10KB </span>","children":null,"spread":false},{"title":"test-genome.pkl <span style='color:#111;'> 1.57KB </span>","children":null,"spread":false},{"title":"test_maze.py <span style='color:#111;'> 3.55KB </span>","children":null,"spread":false},{"title":"test_strict_t_maze.py <span style='color:#111;'> 10.81KB </span>","children":null,"spread":false},{"title":"test_adaptive_linear.py <span style='color:#111;'> 6.46KB </span>","children":null,"spread":false},{"title":"test_multi_env_eval.py <span style='color:#111;'> 2.39KB </span>","children":null,"spread":false}],"spread":false}],"spread":true}],"spread":true}]