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.
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""" | |
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) |
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# Steps to build and install tmux from source. | |
# Takes < 25 seconds on EC2 env [even on a low-end config instance]. | |
VERSION=2.7 | |
sudo yum -y remove tmux | |
sudo yum -y install wget tar libevent-devel ncurses-devel | |
wget https://github.com/tmux/tmux/releases/download/${VERSION}/tmux-${VERSION}.tar.gz | |
tar xzf tmux-${VERSION}.tar.gz | |
rm -f tmux-${VERSION}.tar.gz | |
cd tmux-${VERSION} |
Code | Title | Duration | Link |
---|---|---|---|
Keynote | Andy Jassy Keynote Announcement Recap | 0:01 | https://www.youtube.com/watch?v=TZCxKAM2GtQ |
Keynote | AWS re:Invent 2016 Keynote: Andy Jassy | 2:22 | https://www.youtube.com/watch?v=8RrbUyw9uSg |
Keynote | AWS re:Invent 2016 Keynote: Werner Vogels | 2:16 | https://www.youtube.com/watch?v=ZDScBNahsL4 |
Keynote | [Tuesday Night Live with Jame |
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import torch, torch.nn as nn, torch.nn.functional as F | |
import numpy as np | |
import torch.optim as optim | |
# tied autoencoder using off the shelf nn modules | |
class TiedAutoEncoderOffTheShelf(nn.Module): | |
def __init__(self, inp, out, weight): | |
super().__init__() | |
self.encoder = nn.Linear(inp, out, bias=False) | |
self.decoder = nn.Linear(out, inp, bias=False) |
This gist has been moved to https://github.com/offchan42/machine-learning-curriculum
Please see that repository instead because you can make pull requests there and later updates will be pushed there too.
===
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These commands are based on a askubuntu answer http://askubuntu.com/a/581497 | |
To install gcc-6 (gcc-6.1.1), I had to do more stuff as shown below. | |
USE THOSE COMMANDS AT YOUR OWN RISK. I SHALL NOT BE RESPONSIBLE FOR ANYTHING. | |
ABSOLUTELY NO WARRANTY. | |
If you are still reading let's carry on with the code. | |
sudo apt-get update && \ | |
sudo apt-get install build-essential software-properties-common -y && \ | |
sudo add-apt-repository ppa:ubuntu-toolchain-r/test -y && \ |
We can make this file beautiful and searchable if this error is corrected: No tabs found in this TSV file in line 0.
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7 | |
2 | |
1 | |
0 | |
4 | |
1 | |
4 | |
9 | |
5 | |
9 |
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# -*- coding: utf-8 -*- | |
""" | |
codegen | |
~~~~~~~ | |
Extension to ast that allow ast -> python code generation. | |
:copyright: Copyright 2008 by Armin Ronacher. | |
:license: BSD. | |
""" |
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""" | |
Beam decoder for tensorflow | |
Sample usage: | |
``` | |
from tf_beam_decoder import beam_decoder | |
decoded_sparse, decoded_logprobs = beam_decoder( | |
cell=cell, |
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