yvesh

URxvt.saveLines: 2000
URxvt.scrollBar: false
URxvt.foreground: #f9f7f1
URxvt.depth: 32
URxvt.secondaryScroll: true
URxvt.font: xft:DejaVu Sans Mono for Powerline:pixelsize=22:antialias=true
URxvt.perl-ext-common: default,matcher,selection-to-clipboard
URxvt.urlLauncher: chromium
URxvt.matcher.button: 1
URxvt.tabbed.saveLines: 2000

taoyuan

# npm using https for git
git config --global url."https://github.com/".insteadOf [email protected]:
git config --global url."https://".insteadOf git://

# npm using git for https
git config --global url."[email protected]:".insteadOf https://github.com/
git config --global url."git://".insteadOf https://

MartyMacGyver

###############################################################################
# Compiling the RPi kernel in situ, with optional memory leak debugging
#
# Extends https://www.raspberrypi.org/documentation/linux/kernel/building.md
###############################################################################

# On the Raspberry Pi
cd ~/Projects

# Install rerequisites

wangruohui

In this article, I will share some of my experience on installing NVIDIA driver and CUDA on Linux OS. Here I mainly use Ubuntu as example. Comments for CentOS/Fedora are also provided as much as I can.

Table of Contents

• Install NVIDIA Graphics Driver via apt-get
• Install NVIDIA Graphics Driver via runfile
  • Remove Previous Installations (Important)
  • Download the Driver
  • Install Dependencies
  • Creat Blacklist for Nouveau Driver

• Stop lightdm/gdm/kdm

luiscape

#
#  Original solution via StackOverflow:
#    http://stackoverflow.com/questions/35802939/install-only-available-packages-using-conda-install-yes-file-requirements-t
#

#
#  Install via `conda` directly.
#  This will fail to install all
#  dependencies. If one fails,
#  all dependencies will fail to install.

rosghub

#
#    Configuration files for Manjaro i3 on Lenovo Yoga 2 pro 
#    to scale properly on HiDPI (3200x1800)
#
#####################################################
~/.profile                                          #
#####################################################

# UI element scaling, icons
export GDK_SCALE=2

oiehot

import os
import comtypes.client
app = comtypes.client.CreateObject('Photoshop.Application.60') # CS6

# maya config
project_path = 'd:/project/alice/maya'
log_path     = project_path + '/log'
images_path  = project_path + '/images'
layers       = ['master', 'prop_matte', 'shadow', 'wall_matte']
passes       = ['beauty', 'N']

mparker2

import numpy as np
from scipy.spatial.distance import cdist
from .dtw import dtw
from .lb import envelope, lb_keogh_cdist, lb_keogh_from_bounds
from .window import window_ts

def dtw_nearest_neighbours(query, db, bound_reach, step_size, subseq=False):
    assert query.ndim == 1
    assert db.ndim == 2
    assert query.flags.contiguous

glbramalho

# Structural Cooccurrence Matrix - SCM
# OBS.: implementation of SCM for image analysis
# Geraldo Ramalho v0.8 ago/2016
#
# please cite: 
#    Ramalho et al. Rotation-invariant Feature Extraction using a Structural Co-occurrence Matrix. 
#    Measurement, v.94, p.406-415, dec/2016.
#    doi:10.1016/j.measurement.2016.08.012
#    lapisco.ifce.edu.br/?page_id=191
#

Mahedi-61

#!/bin/bash

### steps ####
# Verify the system has a cuda-capable gpu
# Download and install the nvidia cuda toolkit and cudnn
# Setup environmental variables
# Verify the installation
###

### to verify your gpu is cuda enable check