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@andreyvit
andreyvit / tmux.md
Created June 13, 2012 03:41
tmux cheatsheet

tmux cheat sheet

(C-x means ctrl+x, M-x means alt+x)

Prefix key

The default prefix is C-b. If you (or your muscle memory) prefer C-a, you need to add this to ~/.tmux.conf:

remap prefix to Control + a

@MohamedAlaa
MohamedAlaa / tmux-cheatsheet.markdown
Last active July 23, 2024 05:34
tmux shortcuts & cheatsheet

tmux shortcuts & cheatsheet

start new:

tmux

start new with session name:

tmux new -s myname
@audy
audy / fuckinginstallmatplotlibscipynumpysklearnipython_mountain_lion.md
Last active November 6, 2017 12:42
How to fucking install matplotlib, scipy, numpy, scikit learn and ipython notebook on Mountain Lion
@dergachev
dergachev / GIF-Screencast-OSX.md
Last active July 17, 2024 14:20
OS X Screencast to animated GIF

OS X Screencast to animated GIF

This gist shows how to create a GIF screencast using only free OS X tools: QuickTime, ffmpeg, and gifsicle.

Screencapture GIF

Instructions

To capture the video (filesize: 19MB), using the free "QuickTime Player" application:

@Newmu
Newmu / simple_gan.py
Created July 10, 2015 20:39
Simple Generative Adversarial Network Demo
import os
import numpy as np
from matplotlib import pyplot as plt
from time import time
from foxhound import activations
from foxhound import updates
from foxhound import inits
from foxhound.theano_utils import floatX, sharedX
@baraldilorenzo
baraldilorenzo / readme.md
Last active June 13, 2024 03:07
VGG-16 pre-trained model for Keras

##VGG16 model for Keras

This is the Keras model of the 16-layer network used by the VGG team in the ILSVRC-2014 competition.

It has been obtained by directly converting the Caffe model provived by the authors.

Details about the network architecture can be found in the following arXiv paper:

Very Deep Convolutional Networks for Large-Scale Image Recognition

K. Simonyan, A. Zisserman

@cadurosar
cadurosar / test_notebook.ipynb
Last active August 4, 2023 22:19
A interactive ipython notebook for: Keras plays catch - https://gist.github.com/EderSantana/c7222daa328f0e885093
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""" Interface with the PLE environment
Authors: Vincent Francois-Lavet, David Taralla
Modified by: Norman Tasfi
"""
import numpy as np
import cv2
from ple import PLE
from deeprl.base_classes import Environment
@joelouismarino
joelouismarino / googlenet.py
Last active October 9, 2023 07:09
GoogLeNet in Keras
from __future__ import print_function
import imageio
from PIL import Image
import numpy as np
import keras
from keras.layers import Input, Dense, Conv2D, MaxPooling2D, AveragePooling2D, ZeroPadding2D, Dropout, Flatten, Concatenate, Reshape, Activation
from keras.models import Model
from keras.regularizers import l2
from keras.optimizers import SGD