Yuya Takashina ytakashina

## bayesian_polyfit.ipynb

      
              1 file
            
          
              1 fork
            
          
              0 comments
            
          
              5 stars
            
          
                tanutarou
                / bayesian_polyfit.ipynb
            
            
              Created
              October 15, 2017 11:50
            
              
                最小二乗法、ガウスノイズモデル、ベイズ線形回帰モデルによる多項式あてはめ
              
          
      Sorry, something went wrong. Reload?
      Sorry, we cannot display this file.
      Sorry, this file is invalid so it cannot be displayed.
      
          Viewer requires iframe.
      
    
## waya-dl-setup.sh
#!/bin/bash

# install CUDA Toolkit v8.0
# instructions from https://developer.nvidia.com/cuda-downloads (linux -> x86_64 -> Ubuntu -> 16.04 -> deb (network))
CUDA_REPO_PKG="cuda-repo-ubuntu1604_8.0.61-1_amd64.deb"
wget http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1604/x86_64/${CUDA_REPO_PKG}
sudo dpkg -i ${CUDA_REPO_PKG}
sudo apt-get update
sudo apt-get -y install cuda

## OpenCV-3.1-Ubuntu-16.04-Cuda-8.md

      
              1 file
            
          
              10 forks
            
          
              14 comments
            
          
              26 stars
            
          
                filitchp
                / OpenCV-3.1-Ubuntu-16.04-Cuda-8.md
            
            
              Last active
              December 12, 2019 21:36
            
              
                Installing OpenCV 3.1 on Ubuntu 16.04 with Cuda 8 support
              
          
    This is a guide for installing OpenCV 3.1 on Ubuntu 16.04 with Cuda 8 support. This has been tested using a system with a GeForce GTX 1060 and on one with a GeForce GTX 1080.
Nvidia Drivers with Compiz

Install Nvidia drivers
# Start clean
sudo apt purge nvidia-*
# Add the PPA
sudo add-apt-repository ppa:graphics-drivers/ppa
sudo apt update

  
## graph-tool_installation.md

      
              1 file
            
          
              0 forks
            
          
              1 comment
            
          
              11 stars
            
          
                floriangeigl
                / graph-tool_installation.md
            
            
              Last active
              February 18, 2018 23:07
                — forked from v-pravin/graph-tool_installation.md
            
              
                Installation of graph-tool from source
              
          
    INSTALLATION OF GRAPH-TOOL FROM SOURCE

System


OS                  : Ubuntu 14.04.1 LTS Desktop 64-bit (http://www.ubuntu.com/download/alternative-downloads#external)
Python Distribution : Anaconda Python (https://store.continuum.io/cshop/anaconda/)

If you have gcc > 5.0 installed on your server you can use my anaconda package which I compiled with openmp and boost 1.60:
just use conda install graph-tool -c floriangeigl -c msarahan -c conda-forge -c bioconda -c ostrokach -c vgauthier -c salford_systems to install it.

  
## beamer-slides-with-notes.pdf

      
              2 files
            
          
              28 forks
            
          
              23 comments
            
          
              179 stars
            
          
                andrejbauer
                / beamer-slides-with-notes.pdf
            
            
              Last active
              March 13, 2024 04:54
            
          
      Sorry, something went wrong. Reload?
      Sorry, we cannot display this file.
      Sorry, this file is invalid so it cannot be displayed.
      
          Viewer requires iframe.
      
    
## trace.py
#!/usr/bin/python -u
#
# Usage: ./trace.py <tweetId>
#

import sys
import tweepy
import Queue
import time
import json
	#!/bin/bash

	# install CUDA Toolkit v8.0
	# instructions from https://developer.nvidia.com/cuda-downloads (linux -> x86_64 -> Ubuntu -> 16.04 -> deb (network))
	CUDA_REPO_PKG="cuda-repo-ubuntu1604_8.0.61-1_amd64.deb"
	wget http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1604/x86_64/${CUDA_REPO_PKG}
	sudo dpkg -i ${CUDA_REPO_PKG}
	sudo apt-get update
	sudo apt-get -y install cuda
	#!/usr/bin/python -u
	#
	# Usage: ./trace.py <tweetId>
	#

	import sys
	import tweepy
	import Queue
	import time
	import json