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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

@chrislongo
chrislongo / gdbinit
Created August 14, 2012 17:50 — forked from CocoaBeans/gdbinit
.gdbinit - A user-friendly gdb configuration file
# INSTALL INSTRUCTIONS: save as ~/.gdbinit
#
# DESCRIPTION: A user-friendly gdb configuration file.
#
# REVISION : 7.3 (16/04/2010)
#
# CONTRIBUTORS: mammon_, elaine, pusillus, mong, zhang le, l0kit,
# truthix the cyberpunk, fG!, gln
#
# FEEDBACK: https://www.reverse-engineering.net
@fchollet
fchollet / classifier_from_little_data_script_3.py
Last active July 23, 2024 16:32
Fine-tuning a Keras model. Updated to the Keras 2.0 API.
'''This script goes along the blog post
"Building powerful image classification models using very little data"
from blog.keras.io.
It uses data that can be downloaded at:
https://www.kaggle.com/c/dogs-vs-cats/data
In our setup, we:
- created a data/ folder
- created train/ and validation/ subfolders inside data/
- created cats/ and dogs/ subfolders inside train/ and validation/
- put the cat pictures index 0-999 in data/train/cats
@klynch
klynch / custom.json
Last active March 15, 2022 02:24
A powerline configuration file that goes in `~/.config/powerline/themes/shell/custom.json`
{
"segments": {
"left": [
{
"function": "powerline.segments.shell.mode"
},
{
"function": "powerline.segments.common.net.hostname",
"priority": 10,
"args": {
@rocking5566
rocking5566 / keras_quant.py
Last active December 8, 2020 09:40
Quantization aware training in keras
import numpy as np
import tensorflow as tf
from tensorflow.keras.datasets import mnist
from tensorflow.keras.utils import to_categorical
from tensorflow.keras.models import Sequential
from tensorflow.keras.layers import Dense, Activation, Conv2D, Flatten
from tensorflow.keras.optimizers import RMSprop
# download the mnist to the path '~/.keras/datasets/' if it is the first time to be called
# X shape (60,000 28x28), y shape (10,000, )