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doevelopper / 00-Ethical.md
Created March 20, 2022 19:28
Various tools for Black/Grey/White/Red hat
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doevelopper / DISKPART.md
Created March 15, 2022 21:03
Recover USB full partifion after Burning an iso into it
C:\Windows\system32>diskpart

Microsoft DiskPart version 6.1.7601 Copyright (C) 1999-2008 Microsoft Corporation. Sur l'ordinateur : PC-DE-KEVIN

DISKPART> list disk
@doevelopper
doevelopper / FindRTIConnextDDS.cmake
Created March 9, 2022 11:31
force linking against "Release" version of DDS libraries
```cmake
if (NOT RTIConnextDDS_FOUND)
find_package(RTIConnextDDS "6.1.0" EXACT REQUIRED COMPONENTS core)
# use always the release configuration of RTI libs regardless of current
# CMAKE_BUILD_TYPE (root cause of double free error)
set_target_properties(RTIConnextDDS::core PROPERTIES
MAP_IMPORTED_CONFIG_RELEASE Release
MAP_IMPORTED_CONFIG_DEBUG Release
MAP_IMPORTED_CONFIG_RELWITHDEBUGINFO Release)
https://www.google.com/search?q=state+machine+mission+control+center&source=lmns&bih=1312&biw=2489&rlz=1C1GCEU_enGB898GB898&safe=active&hl=en-US&sa=X&ved=2ahUKEwjqiu7WtIn2AhUHyRQKHTy6AisQ_AUoAHoECAEQAA
https://www.tsniimash.ru/en/science/scientific-and-technical-centers/flight-control-center-fcc/
```sh
# ========== [ vi mode ]
set -o vi
set -o vi
bind -m vi-command 'Control-l: clear-screen'
bind -m vi-insert 'Control-l: clear-screen'
# ========== [ aliases ]
    #!/usr/bin/env bash

install-boost.sh: Download Boost (version 1.65.1), build from source, install, and clean-up. Tested on Ubuntu. Dependencies:

  • build-essential
  • echo
@doevelopper
doevelopper / 00-Anaconda
Last active February 18, 2022 16:35
Common conda utils for my ML/DL/AI learning course
- [Conda CLI sheet](#file-01-conda_cli.md)
- [Ares dev Desktop](#file-02-ares-conda-env.yml)
- [Simple pythorch](#file-03-pytorch-environment.yml)
- [Generic ML dev env](#file-04-dev_env_linux.yml)
- [Generic ML dev env with GPU](#file-05-dev_env_linux_gpu.yml)
- [HANSON ML ](#06-dev_env_linux_handson.yml)
```txt
Preparing transaction: done
Executing transaction: -
Installed package of scikit-learn can be accelerated using scikit-learn-intelex.
More details are available here: https://intel.github.io/scikit-learn-intelex
For example:
$ conda install scikit-learn-intelex