Search - numpy for py 2

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[Windows Develop] numpy-1.0.3.1.win32-py2.5 DL : 0: The fundamental package needed for scientific computing with Python is called NumPy. This package contains: * a powerful N-dimensional array object * sophisticated (broadcasting) functions * basic linear algebra functions * basic Fourier transforms * sophisticated random number capabilities * tools for integrating Fortran code. -The fundamental package needed for scientific computing with Python is called NumPy. This package contains: * a powerful N-dimensional array object * sophisticated (broadcasting) functions * basic linear algebra functions * basic Fourier transforms * sophisticated random number capabilities * tools for integrating Fortran code.
Date : 2025-07-03 Size : 1.95mb User : 石头
[Other] errwin_sliding_with_sigma_loop.py DL : 0: Guassian 2d filter : using numpy, matplotlib and scipy in python. Could be used for Image processing purposes
Date : 2025-07-03 Size : 2kb User : skg
[Other] Char-RNN-PyTorch-master DL : 1: # Char-RNN-PyTorch 使用字符级别的RNN进行文本生成，使用PyTorch框架。[Gluon实现] ## Requirements - PyTorch 0.2 - numpy ## Basic Usage 如果希望训练网络，使用如下的代码 ```bash python main.py \ --state train \ --txt './data/poetry.txt' \ # 训练用的txt文本 --batch 128 \ # batch_size --epoch 1000 \ --len 100 \ # 输入RNN的序列长度 --max_vocab 5000 \ # 最大的字符数量 --embed 512 \ # 词向量的维度 --hidden 512 \ # 网络的输出维度 --n_layer 2 \ # RNN的层数 --dropout 0.5 ``` 如果希望使用训练好的网络进行文本生成，使用下面的代码 ```bash python main.py \ --state eval \ --begin '我' \ # 生成文本的开始，可以是一个字符，也可以一段话 --pred_len 100 \ # 希望生成文本的长度 --checkpoint './checkpoint/model_100.pth' # 读取训练模型的位置 ```(# Char-RNN-PyTorch Use the character level RNN for text generation, using the PyTorch framework. [Gluon ## Requirements - PyTorch 0.2 - numpy ## Basic Usage If you want to train the network, use the following code ```bash Python main.py \ --state train \ TXT text --txt'./data/poetry.txt'\ # for training --batch 128, batch_size # --epoch 1000 \ The length of the sequence --len 100 \ # input RNN --max_vocab 5000, # maximum number of characters --embed 512 \ # word vector dimension The output dimension --hidden 512 \ # network --n_layer 2 # \ RNN layers --dropout 0.5 . If you want to use a trained network for text generation, use the following code ```bash Python main.py \ --state Eval \ I \ '--begin' # generated text, can be a character, can also be a paragraph --pred_len 100, # want to generate text length --checkpoint'./checkpoint/model_100.pth'# reading training model position .)
Date : 2025-07-03 Size : 1.41mb User : 特别的晴天