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rest_python.tar
regularly remind yourself a break under linux gadget python.
- 2013-08-08 16:33:57下载
- 积分:1
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Python入门指南
说明: python入门指南,初学者用资料,python基础资料(Python introduction guide, beginner's materials, python basic materials)
- 2020-06-17 15:12:52下载
- 积分:1
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20180417--Model-one-3 - 1
说明: 用python语言开发的程序,主要用于ABAQUS平台模拟水泥环损坏问题。水泥环采用塑性损伤模型。(The program developed in Python language is mainly used to simulate the damage of cement sheath on ABAQUS platform. Plastic damage model is adopted for cement sheath.)
- 2019-04-30 10:44:36下载
- 积分:1
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scanner
说明: 这是一个低级的端口扫描器,用起来不是那么好,但能很快的显示开放的端口。只是线程处理方面有些问题。(This is a low-level port scanner, not so good to use, but can quickly display open ports. There are just some problems with thread processing.)
- 2020-06-25 15:00:02下载
- 积分:1
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yunjaihun
Rotating Machinery dimensional hologram of practical spectrum calculation routines, Complex modulation coherent pulse train signal, Including the final calculation of the compressed image peak signal to noise ratio and compression of the source.
- 2017-11-05 19:28:14下载
- 积分:1
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python动力学轨迹模拟
【实例简介】假设无人机在 50m 高度的空中飞行时,投放一个救援物质,当前飞机的前进速度为 10
m/s, 救援物质质量为 0.1kg, 重力加速度 9.8m/s2, 空气阻力与速度方向相反,空
气阻力大小为 k *v, k = 0.1,请使用软件模拟物质掉落的轨迹(建议使用 Python 实现
轨迹图,C 语言使用 print 输出迭代过程中的坐标)
- 2021-08-27 00:31:03下载
- 积分:1
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UDP
基于UDP协议的文件传输系统,采用python语言编程实现。(File transfer system based on UDP protocol.)
- 2020-06-17 06:20:02下载
- 积分:1
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决策树
说明: 机器学习中绘制ROC曲线,是非常关键的,老师编的ROC曲线,亲测有效。(It is very important to draw ROC curve in machine learning. The ROC curve compiled by the teacher is effective in pro test.)
- 2019-11-08 16:12:31下载
- 积分:1
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Python深度学习
说明: 本书由Keras之父、现任Google人工智能研究员的弗朗索瓦·肖菜(Francois Chollet)执笔,详尽介绍了用Python和Keras进行深度学习的探索实践,涉及计算机视觉、自然语言处理、生成式模型等应用。
书中包含30多个代码示例,步骤讲解详细透彻。由于本书立足于人工智能的可达性和大众化,读者无须具备机器学习相关背景知识即可展开阅读。在学习完本书后,读者将具备搭建自己的深度学习环境、建立图像识别模型、生成图像和文字等能力。
本拐适合从事大数据及机器学习领域工作,并对深度学习感兴趣的各类读者。(This book is written by Francois Chollet, the father of keras and currently a researcher of Google artificial intelligence. It introduces in detail the exploration and practice of deep learning with Python and keras, involving computer vision, natural language processing, generative model and other applications.
The book contains more than 30 code examples, the steps to explain in detail.
Because this book is based on the accessibility and popularity of artificial intelligence, readers can read without the background knowledge of machine learning. After learning this book, readers will have the ability to build their own deep learning environment, establish image recognition model, and generate images and characters.
It is suitable for all kinds of readers who are engaged in big data and machine learning and are interested in deep learning.)
- 2020-11-25 22:29:10下载
- 积分:1
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C3D-lstm
说明: 根据论文写了下pytorch版的模型,替换dataset可用于训练(According to the paper, the model of Python version is written, and the replacement dataset can be used for training)
- 2021-02-14 13:27:46下载
- 积分:1