OptimusCrime’s gists

uvolchyk / HarmonicButton.swift

Last active October 2, 2025 03:50

Source code for the article: https://uvolchyk.me/blog/oscillating-glowing-strings-with-metal-and-swiftui

	import SwiftUI

	struct HarmonicButton: View {
	var body: some View {
	Button(
	action: {},
	label: {}
	)
	.frame(width: 240.0, height: 70.0)
	.buttonStyle(HarmonicStyle())

nigeljyng / AttentionWithContext.py

Last active February 10, 2021 14:02 — forked from cbaziotis/AttentionWithContext.py

Keras Layer that implements an Attention mechanism, with a context/query vector, for temporal data. Supports Masking. Follows the work of Yang et al. [https://www.cs.cmu.edu/~diyiy/docs/naacl16.pdf] "Hierarchical Attention Networks for Document Classification"

	class AttentionWithContext(Layer):
	"""
	Attention operation, with a context/query vector, for temporal data.
	Supports Masking.
	Follows the work of Yang et al. [https://www.cs.cmu.edu/~diyiy/docs/naacl16.pdf]
	"Hierarchical Attention Networks for Document Classification"
	by using a context vector to assist the attention
	# Input shape
	3D tensor with shape: `(samples, steps, features)`.
	# Output shape

rtripault / plugin.php

Created January 26, 2017 12:13

Plugin to add a "created by" field on a MODX Revolution resource form, listening on the "OnDocFormPrerender" event

	<?php
	/**
	* Sample plugin to add a "created by" field on a resource form
	*
	* @var modX $modx
	* @var array $scriptProperties
	*
	* @event OnDocFormPrerender
	*/

cbaziotis / AttentionWithContext.py

Last active April 25, 2022 14:37

Keras Layer that implements an Attention mechanism, with a context/query vector, for temporal data. Supports Masking. Follows the work of Yang et al. [https://www.cs.cmu.edu/~diyiy/docs/naacl16.pdf] "Hierarchical Attention Networks for Document Classification"

	def dot_product(x, kernel):
	"""
	Wrapper for dot product operation, in order to be compatible with both
	Theano and Tensorflow
	Args:
	x (): input
	kernel (): weights
	Returns:
	"""
	if K.backend() == 'tensorflow':

cbaziotis / Attention.py

Last active October 22, 2024 08:31

Keras Layer that implements an Attention mechanism for temporal data. Supports Masking. Follows the work of Raffel et al. [https://arxiv.org/abs/1512.08756]


	from keras import backend as K, initializers, regularizers, constraints
	from keras.engine.topology import Layer


	def dot_product(x, kernel):
	"""
	Wrapper for dot product operation, in order to be compatible with both
	Theano and Tensorflow
	Args:

mbollmann / attention_lstm.py

Last active August 22, 2024 07:06

My attempt at creating an LSTM with attention in Keras

	class AttentionLSTM(LSTM):
	"""LSTM with attention mechanism

	This is an LSTM incorporating an attention mechanism into its hidden states.
	Currently, the context vector calculated from the attended vector is fed
	into the model's internal states, closely following the model by Xu et al.
	(2016, Sec. 3.1.2), using a soft attention model following
	Bahdanau et al. (2014).

	The layer expects two inputs instead of the usual one:

mbollmann / hidden_state_lstm.py

Created August 17, 2016 10:02

Keras LSTM that inputs/outputs its internal states, e.g. for hidden state transfer

	from keras import backend as K
	from keras.layers.recurrent import LSTM

	class HiddenStateLSTM(LSTM):
	"""LSTM with input/output capabilities for its hidden state.

	This layer behaves just like an LSTM, except that it accepts further inputs
	to be used as its initial states, and returns additional outputs,
	representing the layer's final states.

SBejga / ssmtp_mail_alias

Last active December 15, 2021 05:05

Bash Script as alias of "mail" using "ssmtp" in ubuntu. Main purpose is sending mails via munin by ssmtp instead of postfix.

	#!/bin/bash
	# mail syntax: mail -s "any mail subject string" any@mail.com
	# or: mail "any mail subject string" any@mail.com
	if [ $1 == "-s" ]
	then
	subject=$2
	recip=$3
	else
	subject=$1
	recip=$2

vidhav / snippet.wrap.php

Last active August 29, 2015 14:03

MODX Output Modifier that parses the $input value into the $options value.

	<?php
	/**
	* Wraps the value of a placeholder.
	* [[*introtext:wrap=`<p class="intro">\|</p>`]]
	*/
	return (empty($input) === false && strpos($options, '\|') !== false) ? str_replace('\|', $input, $options) : '';

natelandau / .bash_profile

Last active March 5, 2026 04:09

Mac OSX Bash Profile

	# ---------------------------------------------------------------------------
	#
	# Description: This file holds all my BASH configurations and aliases
	#
	# Sections:
	# 1. Environment Configuration
	# 2. Make Terminal Better (remapping defaults and adding functionality)
	# 3. File and Folder Management
	# 4. Searching
	# 5. Process Management

Thomas Gautvedt OptimusCrime