Skip to content

Instantly share code, notes, and snippets.

View tpgmartin's full-sized avatar

Tom Martin tpgmartin

View GitHub Profile
import numpy as np
def ptb_iterator(raw_data, batch_size, num_steps, steps_ahead=1):
"""Iterate on the raw PTB data.
This generates batch_size pointers into the raw PTB data, and allows
minibatch iteration along these pointers.
Args:
raw_data: one of the raw data outputs from ptb_raw_data.
batch_size: int, the batch size.
num_steps: int, the number of unrolls.
@nickbalestra
nickbalestra / Dialogue.js
Created November 4, 2016 15:31
MVI pattern using redux-like actions/reducer
import xs from 'xstream';
import {div, button} from '@cycle/dom'
function view(state$) {
const vtree$ = state$.map( state =>
div([
button('.increase', 'Moar'),
button('.decrease', 'Less'),
div(`Count: ${state.count}`)
])
@fasiha
fasiha / README.md
Last active April 7, 2023 14:15
How Anki calculates intervals

Reading _nextRevIvl and its subfunction _constrainedIvl plus _rescheduleLapse will illuminate how Anki calculates the due date (the “interval”) of a flashcard, based on whether you answer

  • 1 (fail)
  • 2 (pass but hard)
  • 3 (pass)
  • 4 (pass and easy)

This is more of a self-note, so I assume you’ve read the Anki manual top-to-bottom a couple of times.

Let d >= 0, “delay”, be the days between the due date and the date you actually reviewed. This can be important because if you successfully answer a flashcard a long time after it was due for study, that means you probably know it really well.

@karpathy
karpathy / min-char-rnn.py
Last active April 26, 2024 11:55
Minimal character-level language model with a Vanilla Recurrent Neural Network, in Python/numpy
"""
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)
@ohanhi
ohanhi / frp.md
Last active December 23, 2022 13:06
Learning FP the hard way: Experiences on the Elm language

Learning FP the hard way: Experiences on the Elm language

by Ossi Hanhinen, @ohanhi

with the support of Futurice 💚.

Licensed under CC BY 4.0.

Editorial note

@ericelliott
ericelliott / essential-javascript-links.md
Last active April 22, 2024 10:15
Essential JavaScript Links
@staltz
staltz / introrx.md
Last active April 25, 2024 04:18
The introduction to Reactive Programming you've been missing
@LeCoupa
LeCoupa / nodejs-cheatsheet.js
Last active April 19, 2024 01:50
Complete Node.js CheatSheet --> UPDATED VERSION --> https://github.com/LeCoupa/awesome-cheatsheets
/* *******************************************************************************************
* THE UPDATED VERSION IS AVAILABLE AT
* https://github.com/LeCoupa/awesome-cheatsheets
* ******************************************************************************************* */
// 0. Synopsis.
// http://nodejs.org/api/synopsis.html
@tsiege
tsiege / The Technical Interview Cheat Sheet.md
Last active April 20, 2024 16:52
This is my technical interview cheat sheet. Feel free to fork it or do whatever you want with it. PLEASE let me know if there are any errors or if anything crucial is missing. I will add more links soon.

ANNOUNCEMENT

I have moved this over to the Tech Interview Cheat Sheet Repo and has been expanded and even has code challenges you can run and practice against!






\

@gabrielhpugliese
gabrielhpugliese / meteor_ytapi.js
Created September 7, 2013 21:17
Snippet for using Google Youtube APIs with Meteor rendering engine (not Meteor UI). Assume the template is called "channel". You only need to implement onPlayerReady of line 44. It uses jQuery.getScript();
Meteor.startup(function () {
Session.set('YTApiReady', false);
Session.set('channelRendered', false);
});
onYouTubeIframeAPIReady = function() {
Session.set('YTApiReady', true);
};
Template.channel.created = function () {