All Projects → nullbyte91 → Simple Sh Datascience

nullbyte91 / Simple Sh Datascience

Licence: mit
A collection of Bash scripts and Dockerfiles to install data science Tool, Lib and application

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Simple Bash script's for Data Science

With Simple bash scripts can perform the installation/Configuration of many of the Data Science Tool, Lib and Application.

List of contents

List of commands and application:


aws_cli_configuration-amazon.sh Install AWS CLI and configure.
Details: This script download, Install and configure:

  • Python 2 & Pip2 install if not installed
  • AWS CLI (AWS Command line interface) install
  • AWS CLI Configuration

deepBench_Deploy.sh - Only Nvidia Support Deploy DeepBench and get Hardware BenchMark for Deep Neural Network. (Only Support Nvidia Based board)
Details: This script download, Install and configure:

  • CUDA & cuDNN install if not installed
  • OpenMPI install if not installed
  • Compile baiduAllreduceCompilation
  • Compile Deep Bench and generate Gemm, Convolutions and other bin.

deepSpeech.sh
Deep Speeh auto script - Can setup deep Speech env, Deep Speech inference.
Details: This script supports Deep Speech Inference Setup, Deep Speech Inference and Deep Speech Training setup

This script download, Install and configure:

  • Python 2 & Pip2 install if not installed
  • virtualenv install if not installed
  • create virtualenv and activate
  • deepSpeech pip install

Note:
We are activating the virtual env inside a bash script. So, We have run the deep speech script with source util.

source deepSpeech.sh

git-openssl.sh
Compile git package with openssl instead of gnutls.
Details: This script download, Install and configure:

  • Download git source
  • Modify source code for openssl
  • Compile git source
  • Install generated dep package

installCudaCuDNN.sh
Install CUDA 9.0 and cuDNN 7.0.
Details: This script download, Install and configure:

  • Install CUDA 9.0 and cuDNN 7.0
  • Configure env variable
  • Verify the Cuda installation

install_TensorFlow-CPU_with_pip.sh
Install Tensorflow on Virtual env with dep.
Details: This script download, Install and configure:

  • Python 2 & Pip2 install if not installed
  • virtualenv install if not installed
  • create virtualenv and activate
  • Install stable Tensorflow CPU or GPU

openmpi_install.sh
Install openmpi and configure.
Details: This script download, Install and configure:

  • Download openMPI
  • Configure and Install

ubuntu_datascience_env.sh
Note:
This script still under dev.

fastai_v0.7_cpu.sh Setup fast.ai cpu env on ubuntu. Details: This script download, Install and configure:

  • Install Conda and fast.ai dep
  • Activate fast.ai cpu env

fastai_v0.7_gpu.sh Setup fast.ai gpu env on ubuntu. Details: This script download, Install and configure:

  • Install Conda and fast.ai dep
  • Activate fast.ai gpu env

docker.sh
Install docker and configure proxy if your behind corporate proxy.
Details: This script download, Install and configure:

  • Install and configure docker

tensorObjectDetection.sh
Install Tensorflow object detection API. Details: This script download, Install and configure:

  • Install Tensorflow
  • Install Object detection API with dep

openai_mujoco200.sh RL Setup - OpenAI GYM and mujoco200. This script download, Install and configure:

  • Install OpenAI Gym
  • Install mujoco200

Note: You have download the Licence key and copy to ~/.mujoco/

ROS

ROS_CV_bridge_PY3
Bash script to compile ROS CV Bridge for python 3

Dockerfiles

opencl_Intel
Docker file for Intel's Opencl Runtime env

openvino_Intel
Docker file for Intel's OpenVINO deep learning

openvino_armnn_android
Docker file for ARM's armnn deep learning lib for Android device

openvino_armnn_x86_64
Docker file for ARM's armnn deep learning lib for x86_64

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