skill_scripts.rar

brd文件转pads文件，需要在allegro中运行此脚本来转换。 下载试试吧。

Window_FFU_Apply_Scripts.zip

Windows 10 FFU部署脚本,需要使用1709及之后的winpe环境才可执行，自动化部署，防呆。适合用于备份还原操作系统磁盘。用于磁盘备份。

Beginning_Python_Visualization__Crafting_Visual_Transformation_Scripts.pdf

Beginning_Python_Visualization__Crafting_Visual_Transformation_Scripts.pdf

OpenJDK11U-jdk_x64_windows_hotspot_11.0.9_11.msi

AdoptOpenJDK11 AdoptOpenJDK11 Java™ is the world's leading programming language and platform. AdoptOpenJDK uses infrastructure , build and test scripts to produce prebuilt binaries from OpenJDK™ class libraries and a choice of either OpenJDK or the Eclipse OpenJ9 VM.

Caffe2 build_host_protoc.sh(修改后)

Caffe2 对git clone后在...\pytorch\scripts中的build_host_protoc.sh进行修改 针对win10,VS2015或VS2017（本人VS2017亲测可用） 加入set CMAKE_GENERATOR="Visual Studio 14 2015 Win64"

login_scripts.7z

使用python和chromedrive弄的网页签到脚本，一个需要输入账号密码，一个直接点击签到。

python_whl_pandas_sikitlearn.rar

python3.7 sikitlearn pandas whl离线安装包，在Python37\Scripts文件夹下执行命令安装，pip install whl文件，详见readme

Scripts_java.rar

YONG CHU MAN DA DE

oracle_scripts.rar

Linux下Oracle备份脚本，可以定时执行数据备份，同时包含rman备份脚本，有兴趣的同学欢迎下载

Caffe2 build_windows.bat（修改后）

Caffe2 对git clone后在...\pytorch\scripts中的build_windows.bat进行修改 在文件首的 @echo off之下添加s在文件首的 @echo off之下添加 set CMAKE_GENERATOR="Visual Studio 14 2015 Win64" set USE_CUDA=ON （如果只是使用CPU，不使用GPU，则不添加） -DBUILD_PYTHON=OFF^ 改为 -DBUILD_PYTHON=ON^ 执行 build_windows.bat，成功之后会出现提示信息： "Caffe2 built successfully" 在CAFFE2_ROOT目录下会出现 build文件夹

SQL Prompt_9.5.2.9464 含注册机

SQL Prompt_9.5.2.9464 含注册方法 Latest version 9.5.2.9464 Released 5/3/2019 What's new in SQL Prompt Added a Show all issues link to the autofix popup window. Fixes Fixed an issue which was preventing SQL Prompt from launching when upgrading from a previous version. SP-7560 : Fixed an issue which would sometimes cause unwanted newlines to be inserted into scripts generated from Script Object as ALTER. SP-7590 : Fixed an issue which caused the Smart Rename, Encapsulate Object as Stored Procedure and Split Table features to not work for some users. For more information, please see the full release notes.

合成复制机_真.阿修 .jsx

我们在AE 中制作工程合成的时候，有时候为了便捷，一个合成会重复使用，但是复制的同一合成只要修改一个合成，其他原合成效果也会跟着修改，这样使用非常的不方便，有了这个脚本就可以直接复制合成里面的子合成，相同合成效果也不会相互影响，可独立修改不同的效果 使用方法： 文件放置到：AE根目录\Support Files\Scripts\ScriptUI Panels 选择需要复制的合成（不是文件夹） 打开AE选中工具栏中的窗口（倒数第二个），下拉列表最后一个（合成复制机_真.阿修.jsx） 注：部分机型显示不全，需沿下边线拉伸弹出窗口。 安默认设置确认即可。

Windows_FFU_Capture_Scripts.zip

用于磁盘备份，不仅限于Windows10，这里需要使用1709之后的Winpe环境执行，抓取的磁盘如果比较大，建议使用较大的移动磁盘作为承载。默认抓取到USB设备的Images文件夹下。

build_scripts.zip

脚本练习.................

trt_pose_trt.zip

https://github.com/NVIDIA-AI-IOT/trt_pose This project features multi-instance pose estimation accelerated by NVIDIA TensorRT. It is ideal for applications where low latency is necessary. It includes Training scripts to train on any keypoint task data in MSCOCO format A collection of models that may be easily optimized with TensorRT using torch2trt This project can be used easily for the task of human pose estimation, or extended for something new. contains convert pytorch model into tensorrt model

ELMM_toolbox.zip

This toolbox contains several scripts and functions for MATLAB, to unmix hyperspectral data using the Extended Linear Mixing Model (ELMM). The contents include: - ELMM_ADMM.m: Function performing the unmixing with the ELMM - demo_houston.m: example of use of the function on a real hyperspectral dataset - real_data_1.mat: real dataset used (crop of the DFC 2013 data) - endmembers_houston.mat: reference endmember matrix used in the demo - FCLSU.m : function performing the standard fully constrained least squared unmixing. - CLSU.m : function performing the standard partially constrained least squared unmixing. - SCLSU.m: function performing a scaled version of CLSU, which follows a particular case of the ELMM - soft.m: soft thresholding, proximal operator of the L1 norm - vector_soft_col.m: vector soft thresholding, proximal operator of the L2 norm - pca_viz.m: function projecting data and endmembers on the space spanned by the first three principal components of the data and displaying a scatterplot - rescale.m: function rescaling hyperspectral data between 0 and 1

Shell_Scripts.zip

供Centos7以上的小版本使用，主要始于系统巡检，以及系统安全加固！部分内容是从网上摘取，在此声明

Data_Pipelines_with_Apache_Airflow_v1_MEAP.pdf

This chapter covers: 1 1 Meet Apache Airflow • What is Apache Airflow • What problems does Airflow solve • Is Airflow the right tool for you People and companies are continuously becoming more data-savvy and are developing data pipelines as part of their daily business. Data volumes have increased substantially over the years, rising from mere megabytes per day in early applications to the petabyte-per-day datasets that are encountered today. We can manage the data deluge though. Some pipelines use real-time data, and others use batch data. Either approach has its own benefits. Apache Airflow is a platform for developing and monitoring batch data pipelines. Airflow provides a framework to integrate data pipelines of different technologies. Airflow workflows are defined in Python scripts, which provide a set of building blocks to communicate with a wide array of technologies. Think of Airflow as the spider in a web; it controls systems as a distributed architecture. It is not a data processing tool in itself, but orchestrates processes doing so. This book isolates and teaches parts of that process in the sprawling web. We will examine all components of Airflow in detail. First, before we breakdown the aerial view of the Airflow’s architecture and determine if this tool is right for you, let’s do a quick overview of workflow managers to align our working mindset.