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Chitradeep Dutta Roy rahduro

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  • University of Utah
  • Salt Lake City, USA
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@Nt-gm79sp
Nt-gm79sp / powercfg-win10-more-settings.cmd
Last active June 12, 2024 13:39 — forked from theultramage/powercfg-win7-all-settings.bat
Show/hide hidden settings in Win10 Power Options
@echo on
REM checked for Windows 10
REM fork from https://gist.github.com/theultramage/cbdfdbb733d4a5b7d2669a6255b4b94b
REM you may want full list https://gist.github.com/raspi/203aef3694e34fefebf772c78c37ec2c
REM SET attrib=+ATTRIB_HIDE
SET attrib=-ATTRIB_HIDE
REM Hard disk burst ignore time
powercfg -attributes 0012ee47-9041-4b5d-9b77-535fba8b1442 80e3c60e-bb94-4ad8-bbe0-0d3195efc663 %attrib%
@kmhofmann
kmhofmann / building_tensorflow.md
Last active March 2, 2024 18:37
Building TensorFlow from source

Building TensorFlow from source (TF 2.3.0, Ubuntu 20.04)

Why build from source?

The official instructions on installing TensorFlow are here: https://www.tensorflow.org/install. If you want to install TensorFlow just using pip, you are running a supported Ubuntu LTS distribution, and you're happy to install the respective tested CUDA versions (which often are outdated), by all means go ahead. A good alternative may be to run a Docker image.

I am usually unhappy with installing what in effect are pre-built binaries. These binaries are often not compatible with the Ubuntu version I am running, the CUDA version that I have installed, and so on. Furthermore, they may be slower than binaries optimized for the target architecture, since certain instructions are not being used (e.g. AVX2, FMA).

So installing TensorFlow from source becomes a necessity. The official instructions on building TensorFlow from source are here: ht

@attacus
attacus / riot-matrix-workshop.md
Last active March 13, 2024 00:16
Create your own encrypted chat server with Riot and Matrix

This guide is unmaintained and was created for a specific workshop in 2017. It remains as a legacy reference. Use at your own risk.

Running your own encrypted chat service with Matrix and Riot

Workshop Instructor:

This workshop is distributed under a CC BY-SA 4.0 license.

What are we doing here?

@alexlee-gk
alexlee-gk / configure_cuda_p70.md
Last active June 21, 2024 03:40
Use integrated graphics for display and NVIDIA GPU for CUDA on Ubuntu 14.04

This was tested on a ThinkPad P70 laptop with an Intel integrated graphics and an NVIDIA GPU:

lspci | egrep 'VGA|3D'
00:02.0 VGA compatible controller: Intel Corporation Device 191b (rev 06)
01:00.0 VGA compatible controller: NVIDIA Corporation GM204GLM [Quadro M3000M] (rev a1)

A reason to use the integrated graphics for display is if installing the NVIDIA drivers causes the display to stop working properly. In my case, Ubuntu would get stuck in a login loop after installing the NVIDIA drivers. This happened regardless if I installed the drivers from the "Additional Drivers" tab in "System Settings" or the ppa:graphics-drivers/ppa in the command-line.

@versedi
versedi / kill-ssh-agents.bat
Created August 30, 2015 10:57
Kill all ssh-agents Windows
taskkill /F /IM ssh-agent.exe /T
@aperezdc
aperezdc / atomic.h
Created October 11, 2014 12:55
Replacement for the Linux kernel asm/atomic.h header using GCC built-ins
#ifndef _ATOMIC_H
#define _ATOMIC_H
/* Check GCC version, just to be safe */
#if !defined(__GNUC__) || (__GNUC__ < 4) || (__GNUC_MINOR__ < 1)
# error atomic.h works only with GCC newer than version 4.1
#endif /* GNUC >= 4.1 */
/**
@mjumbewu
mjumbewu / gist:4667649
Last active February 5, 2024 17:59
Synaptic TouchPad properties on a Dell XPS 13
mjumbewu@mjumbewu-xps ~
$ uname -a
Linux mjumbewu-xps 3.5.0-22-generic #34+kamal11~DellXPS-Ubuntu SMP Fri Jan 11 09:12:57 UTC 2013 x86_64 x86_64 x86_64 GNU/Linux
mjumbewu@mjumbewu-xps ~
$ xinput list-props 12
Device 'CyPS/2 Cypress Trackpad':
Device Enabled (132): 1
Coordinate Transformation Matrix (134): 1.000000, 0.000000, 0.000000, 0.000000, 1.000000, 0.000000, 0.000000, 0.000000, 1.000000
Device Accel Profile (255): 1