Hideyuki Tachibana tachi-hi

## Install NVIDIA Driver and CUDA.md

      
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                zhanwenchen
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                — forked from wangruohui/Install NVIDIA Driver and CUDA.md
            
              
                Install NVIDIA CUDA 9.0 on Ubuntu 16.04.4 LTS
              
          
    Updated 4/11/2018
Here's my experience of installing the NVIDIA CUDA kit 9.0 on a fresh install of Ubuntu Desktop 16.04.4 LTS.
Table of Contents


Install NVIDIA Graphics Driver via apt-get
Install CUDA
Install cuDNN

Table of contents generated with markdown-toc

  
## license-badges.md

      
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                lukas-h
                / license-badges.md
            
            
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              May 10, 2024 14:42
            
              
                Markdown License Badges for your Project
              
          
    Markdown License badges

Collection of License badges for your Project's README file.

This list includes the most common open source and open data licenses.

Easily copy and paste the code under the badges into your Markdown files.
Notes


The badges do not fully replace the license informations for your projects, they are only emblems for the README, that the user can see the License at first glance.

Translations: (No guarantee that the translations are up-to-date)

🇫🇷 Cette liste en français


## diag.md

      
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                hashrock
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                作図系ツール・ライブラリまとめ
              
          
    シーケンス図とかフローチャートをしごとで描画することになった場合、
テキストから生成できたら楽なので、それ系のツールまとめ
GraphViz

http://www.graphviz.org/

C製
Doxygen, Moinmoinなどと連携可能
ブロック図、クラス図、ネットワーク図など


## min-char-rnn.py
"""
Minimal character-level Vanilla RNN model. Written by Andrej Karpathy (@karpathy)
BSD License
"""
import numpy as np

# data I/O
data = open('input.txt', 'r').read() # should be simple plain text file
chars = list(set(data))
data_size, vocab_size = len(data), len(chars)

## gist:7360908

      
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                rxaviers
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                Complete list of github markdown emoji markup
              
          
    People


 :bowtie:
😄 :smile:
😆 :laughing:


😊 :blush:
😃 :smiley:
☺️ :relaxed:


😏 :smirk:
😍 :heart_eyes:
😘 :kissing_heart:


😚 :kissing_closed_eyes:
😳 :flushed:
😌 :relieved:


😆 :satisfied:
😁 :grin:
😉 :wink:


😜 :stuck_out_tongue_winking_eye:
😝 :stuck_out_tongue_closed_eyes:
😀 :grinning:


😗 :kissing:
😙 :kissing_smiling_eyes:
😛 :stuck_out_tongue:
	"""
	Minimal character-level Vanilla RNN model. Written by Andrej Karpathy (@karpathy)
	BSD License
	"""
	import numpy as np

	# data I/O
	data = open('input.txt', 'r').read() # should be simple plain text file
	chars = list(set(data))
	data_size, vocab_size = len(data), len(chars)
`:bowtie:`	😄 `:smile:`	😆 `:laughing:`
😊 `:blush:`	😃 `:smiley:`	☺️ `:relaxed:`
😏 `:smirk:`	😍 `:heart_eyes:`	😘 `:kissing_heart:`
😚 `:kissing_closed_eyes:`	😳 `:flushed:`	😌 `:relieved:`
😆 `:satisfied:`	😁 `:grin:`	😉 `:wink:`
😜 `:stuck_out_tongue_winking_eye:`	😝 `:stuck_out_tongue_closed_eyes:`	😀 `:grinning:`
😗 `:kissing:`	😙 `:kissing_smiling_eyes:`	😛 `:stuck_out_tongue:`