tensorly-notebooks:使用TensorLy的Python中的Tensor方法

[{"title":"（ 27 个子文件 1.43MB ） tensorly-notebooks:使用TensorLy的Python中的Tensor方法","children":[{"title":"tensorly-notebooks-master","children":[{"title":"README.rst <span style='color:#111;'> 3.55KB </span>","children":null,"spread":false},{"title":"images","children":[{"title":"TRL.png <span style='color:#111;'> 161.48KB </span>","children":null,"spread":false},{"title":"cat.thumb <span style='color:#111;'> 21.25KB </span>","children":null,"spread":false},{"title":"tucker.png <span style='color:#111;'> 54.88KB </span>","children":null,"spread":false},{"title":"fibers.png <span style='color:#111;'> 213.01KB </span>","children":null,"spread":false},{"title":"FC.png <span style='color:#111;'> 120.51KB </span>","children":null,"spread":false},{"title":"tensor_contraction.png <span style='color:#111;'> 26.99KB </span>","children":null,"spread":false},{"title":"tucker.pdf <span style='color:#111;'> 11.73KB </span>","children":null,"spread":false},{"title":"triplets.png <span style='color:#111;'> 15.45KB </span>","children":null,"spread":false},{"title":"tensor_cartoon.jpg <span style='color:#111;'> 203.97KB </span>","children":null,"spread":false}],"spread":true},{"title":"05_pytorch_backend","children":[{"title":"tucker_decomposition_tensorly_and_pytorch.ipynb <span style='color:#111;'> 4.44KB </span>","children":null,"spread":false},{"title":"tensor_regression_layer_pytorch.ipynb <span style='color:#111;'> 397.07KB </span>","children":null,"spread":false},{"title":"cnn_acceleration_tensorly_and_pytorch.ipynb <span style='color:#111;'> 21.42KB </span>","children":null,"spread":false}],"spread":true},{"title":"02_tensor_decomposition","children":[{"title":"tucker_decomposition.ipynb <span style='color:#111;'> 2.65KB </span>","children":null,"spread":false},{"title":"cp_decomposition.ipynb <span style='color:#111;'> 3.69KB </span>","children":null,"spread":false}],"spread":true},{"title":"07_pydata_sparse_backend","children":[{"title":"sparse_tucker.ipynb <span style='color:#111;'> 75.50KB </span>","children":null,"spread":false},{"title":"sparse_nonnegative.ipynb <span style='color:#111;'> 11.61KB </span>","children":null,"spread":false},{"title":"sparse_parafac.ipynb <span style='color:#111;'> 10.46KB </span>","children":null,"spread":false},{"title":"sparse_symmetric_parafac.ipynb <span style='color:#111;'> 7.77KB </span>","children":null,"spread":false},{"title":"sparse_missing_values.ipynb <span style='color:#111;'> 19.18KB </span>","children":null,"spread":false}],"spread":true},{"title":"resources","children":[{"title":"imagenet_classes.json <span style='color:#111;'> 30.83KB </span>","children":null,"spread":false}],"spread":true},{"title":".gitignore <span style='color:#111;'> 999B </span>","children":null,"spread":false},{"title":"04_mxnet_backend","children":[{"title":"tensor_regression_layer_MXNet.ipynb <span style='color:#111;'> 408.43KB </span>","children":null,"spread":false},{"title":"tucker_decomposition_with_mxnet_and_tensorly.ipynb <span style='color:#111;'> 6.80KB </span>","children":null,"spread":false}],"spread":true},{"title":"06_tensorflow_backend","children":[{"title":"tensorflow_tucker.ipynb <span style='color:#111;'> 4.06KB </span>","children":null,"spread":false}],"spread":true},{"title":"01_tensor_basics","children":[{"title":"tensor_manipulation.ipynb <span style='color:#111;'> 19.31KB </span>","children":null,"spread":false}],"spread":true},{"title":"03_tensor_regression","children":[{"title":"Low_rank_tensor_regression.ipynb <span style='color:#111;'> 35.69KB </span>","children":null,"spread":false}],"spread":true}],"spread":false}],"spread":true}]