As configured in my dotfiles.
start new:
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start new with session name:
As configured in my dotfiles.
start new:
tmux
start new with session name:
import numpy as np | |
from scipy import linalg | |
from sklearn.utils import array2d, as_float_array | |
from sklearn.base import TransformerMixin, BaseEstimator | |
class ZCA(BaseEstimator, TransformerMixin): | |
def __init__(self, regularization=10**-5, copy=False): | |
self.regularization = regularization |
""" | |
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) |
This is unmaintained, please visit Ben-PH/spacemacs-cheatsheet
SPC q q
- quitSPC w /
- split window verticallySPC w
- - split window horizontallySPC 1
- switch to window 1SPC 2
- switch to window 2SPC w c
- delete current windowimport tensorflow as tf | |
import numpy as np | |
class TextCNN(object): | |
""" | |
A CNN for text classification. | |
Uses an embedding layer, followed by a convolutional, max-pooling and softmax layer. | |
""" | |
def __init__( |
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from sklearn.base import BaseEstimator | |
from sklearn.exceptions import NotFittedError | |
import numpy as np | |
class IRFF(BaseEstimator): | |
''' | |
Random fourier features using the improved embedding | |
https://www.cs.cmu.edu/~schneide/DougalRandomFeatures_UAI2015.pdf | |
''' |
# Install tmux 3.0a on Centos | |
# install deps | |
sudo yum install -y gcc kernel-devel make ncurses-devel | |
# DOWNLOAD SOURCES FOR LIBEVENT AND MAKE AND INSTALL | |
curl -LOk https://github.com/libevent/libevent/releases/download/release-2.1.11-stable/libevent-2.1.11-stable.tar.gz | |
tar -xf libevent-2.1.11-stable.tar.gz | |
cd libevent-2.1.11-stable | |
./configure --prefix=/usr/local |