chore: 添加Stock-Prediction-Models项目文件

添加了Stock-Prediction-Models项目的多个文件，包括数据集、模型代码、README文档和CSS样式文件。这些文件用于股票预测模型的训练和展示，涵盖了LSTM、GRU等深度学习模型的应用。

5.课程代码/4.Stock-Prediction-Models/使用文档/Stock-Prediction-Models-master/deep-learning/util.py

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+# Copyright 2017 Google Inc.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#      http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+# ==============================================================================
+"""DNC util ops and modules."""
+
+from __future__ import absolute_import
+from __future__ import division
+from __future__ import print_function
+
+import numpy as np
+import tensorflow as tf
+
+
+def batch_invert_permutation(permutations):
+  """Returns batched `tf.invert_permutation` for every row in `permutations`."""
+  with tf.name_scope('batch_invert_permutation', values=[permutations]):
+    unpacked = tf.unstack(permutations)
+    inverses = [tf.invert_permutation(permutation) for permutation in unpacked]
+    return tf.stack(inverses)
+
+
+def batch_gather(values, indices):
+  """Returns batched `tf.gather` for every row in the input."""
+  with tf.name_scope('batch_gather', values=[values, indices]):
+    unpacked = zip(tf.unstack(values), tf.unstack(indices))
+    result = [tf.gather(value, index) for value, index in unpacked]
+    return tf.stack(result)
+
+
+def one_hot(length, index):
+  """Return an nd array of given `length` filled with 0s and a 1 at `index`."""
+  result = np.zeros(length)
+  result[index] = 1
+  return result