[{"title":"( 47 个子文件 136KB ) blitz-bayesian-deep-learning:一个简单且可扩展的库,可在PyTorch上创建贝叶斯神经网络层","children":[{"title":"blitz-bayesian-deep-learning-master","children":[{"title":".github","children":[{"title":"workflows","children":[{"title":"pythonpublish.yml <span style='color:#111;'> 865B </span>","children":null,"spread":false},{"title":"pythonapp.yml <span style='color:#111;'> 783B </span>","children":null,"spread":false}],"spread":true}],"spread":true},{"title":"LICENSE <span style='color:#111;'> 34.33KB </span>","children":null,"spread":false},{"title":"requirements.txt <span style='color:#111;'> 71B </span>","children":null,"spread":false},{"title":"doc","children":[{"title":"layers.md <span style='color:#111;'> 17.39KB </span>","children":null,"spread":false},{"title":"utils.md <span style='color:#111;'> 2.55KB </span>","children":null,"spread":false},{"title":"losses.md <span style='color:#111;'> 282B </span>","children":null,"spread":false},{"title":"samplers.md <span style='color:#111;'> 2.39KB </span>","children":null,"spread":false}],"spread":true},{"title":"setup.py <span style='color:#111;'> 1.03KB </span>","children":null,"spread":false},{"title":".gitignore <span style='color:#111;'> 1.86KB </span>","children":null,"spread":false},{"title":"blitz","children":[{"title":"models","children":[{"title":"b_vgg.py <span style='color:#111;'> 3.00KB </span>","children":null,"spread":false},{"title":"__init__.py <span style='color:#111;'> 20B </span>","children":null,"spread":false}],"spread":true},{"title":"losses","children":[{"title":"tests","children":[{"title":"kl_divergence_test.py <span style='color:#111;'> 1.53KB </span>","children":null,"spread":false},{"title":"__init__.py <span style='color:#111;'> 0B </span>","children":null,"spread":false}],"spread":true},{"title":"__init__.py <span style='color:#111;'> 28B </span>","children":null,"spread":false},{"title":"kl_divergence.py <span style='color:#111;'> 557B </span>","children":null,"spread":false}],"spread":true},{"title":"run_tests.sh <span style='color:#111;'> 122B </span>","children":null,"spread":false},{"title":"__init__.py <span style='color:#111;'> 0B </span>","children":null,"spread":false},{"title":"examples","children":[{"title":"stocks-blstm.ipynb <span style='color:#111;'> 106.53KB </span>","children":null,"spread":false},{"title":"requirements_stocks_example.txt <span style='color:#111;'> 31B </span>","children":null,"spread":false},{"title":"cifar10_bvgg.py <span style='color:#111;'> 9.92KB </span>","children":null,"spread":false},{"title":"bayesian_regression_boston.py <span style='color:#111;'> 3.45KB </span>","children":null,"spread":false},{"title":"bayesian_LeNet_mnist.py <span style='color:#111;'> 3.03KB </span>","children":null,"spread":false}],"spread":true},{"title":"utils","children":[{"title":"tests","children":[{"title":"layer_wrappers_test.py <span style='color:#111;'> 1.54KB </span>","children":null,"spread":false},{"title":"__init__.py <span style='color:#111;'> 0B </span>","children":null,"spread":false},{"title":"variational_estimator_test.py <span style='color:#111;'> 6.59KB </span>","children":null,"spread":false}],"spread":false},{"title":"__init__.py <span style='color:#111;'> 101B </span>","children":null,"spread":false},{"title":"minibatch_weighting.py <span style='color:#111;'> 629B </span>","children":null,"spread":false},{"title":"layer_wrappers.py <span style='color:#111;'> 3.68KB </span>","children":null,"spread":false},{"title":"variational_estimator.py <span style='color:#111;'> 6.26KB </span>","children":null,"spread":false}],"spread":true},{"title":"modules","children":[{"title":"gru_bayesian_layer.py <span style='color:#111;'> 8.78KB </span>","children":null,"spread":false},{"title":"base_bayesian_module.py <span style='color:#111;'> 4.20KB </span>","children":null,"spread":false},{"title":"embedding_bayesian_layer.py <span style='color:#111;'> 4.58KB </span>","children":null,"spread":false},{"title":"conv_bayesian_layer.py <span style='color:#111;'> 16.51KB </span>","children":null,"spread":false},{"title":"tests","children":[{"title":"conv_bayesian_layer_test.py <span style='color:#111;'> 10.61KB </span>","children":null,"spread":false},{"title":"base_bayesian_module_test.py <span style='color:#111;'> 1.91KB </span>","children":null,"spread":false},{"title":"embadding_bayesian_test.py <span style='color:#111;'> 3.31KB </span>","children":null,"spread":false},{"title":"gru_bayesian_layer_test.py <span style='color:#111;'> 2.57KB </span>","children":null,"spread":false},{"title":"__init__.py <span style='color:#111;'> 0B </span>","children":null,"spread":false},{"title":"linear_bayesian_layer_test.py <span style='color:#111;'> 3.38KB </span>","children":null,"spread":false},{"title":"weight_sampler_test.py <span style='color:#111;'> 2.57KB </span>","children":null,"spread":false},{"title":"lstm_bayesian_layer_test.py <span style='color:#111;'> 2.81KB </span>","children":null,"spread":false}],"spread":false},{"title":"linear_bayesian_layer.py <span style='color:#111;'> 4.21KB </span>","children":null,"spread":false},{"title":"__init__.py <span style='color:#111;'> 210B </span>","children":null,"spread":false},{"title":"lstm_bayesian_layer.py <span style='color:#111;'> 9.77KB </span>","children":null,"spread":false},{"title":"weight_sampler.py <span style='color:#111;'> 2.94KB </span>","children":null,"spread":false}],"spread":false}],"spread":true},{"title":"README.md <span style='color:#111;'> 18.20KB </span>","children":null,"spread":false}],"spread":true}],"spread":true}]