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@MohamedAlaa
MohamedAlaa / tmux-cheatsheet.markdown
Last active March 8, 2026 04:36
tmux shortcuts & cheatsheet

tmux shortcuts & cheatsheet

start new:

tmux

start new with session name:

tmux new -s myname
@Michael0x2a
Michael0x2a / minimal-template.tex
Last active February 24, 2026 12:12
Minimal LaTeX template
\documentclass{article}
% General document formatting
\usepackage[margin=0.7in]{geometry}
\usepackage[parfill]{parskip}
\usepackage[utf8]{inputenc}
% Related to math
\usepackage{amsmath,amssymb,amsfonts,amsthm}
\begin{document}
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@gyglim
gyglim / tensorboard_logging.py
Last active August 23, 2023 21:29
Logging to tensorboard without tensorflow operations. Uses manually generated summaries instead of summary ops
"""Simple example on how to log scalars and images to tensorboard without tensor ops.
License: BSD License 2.0
"""
__author__ = "Michael Gygli"
import tensorflow as tf
from StringIO import StringIO
import matplotlib.pyplot as plt
import numpy as np
@spitis
spitis / bnlstm.py
Created February 2, 2017 03:05
Batch normalized LSTM Cell for Tensorflow
"""adapted from https://github.com/OlavHN/bnlstm to store separate population statistics per state"""
import tensorflow as tf, numpy as np
RNNCell = tf.nn.rnn_cell.RNNCell
class BNLSTMCell(RNNCell):
'''Batch normalized LSTM as described in arxiv.org/abs/1603.09025'''
def __init__(self, num_units, is_training_tensor, max_bn_steps, initial_scale=0.1, activation=tf.tanh, decay=0.95):
"""
* max bn steps is the maximum number of steps for which to store separate population stats
"""