As configured in my dotfiles.
start new:
tmux
start new with session name:
#!/bin/sh | |
# Just copy and paste the lines below (all at once, it won't work line by line!) | |
# MAKE SURE YOU ARE HAPPY WITH WHAT IT DOES FIRST! THERE IS NO WARRANTY! | |
function abort { | |
echo "$1" | |
exit 1 | |
} | |
set -e |
As configured in my dotfiles.
start new:
tmux
start new with session name:
; /usr/local/bin/nasm -f macho 32.asm && ld -macosx_version_min 10.7.0 -o 32 32.o && ./32 | |
global start | |
section .text | |
start: | |
push dword msg.len | |
push dword msg | |
push dword 1 | |
mov eax, 4 |
// Numerical matrix examples | |
let x: Matrix = [[10, 9, 8], [3, 2, 1]] | |
let y: Matrix = [[1, 2, 3], [4, 5, 6]] | |
let z: Matrix = [[1, 2], [3, 4], [5, 6]] | |
x + y // [[11, 11, 11], [7, 7, 7]] | |
x * y // [[10, 18, 24], [12, 10, 6]] | |
2 * x // [[20, 18, 16], [6, 4, 2]] | |
y ** z // [[22, 28], [49, 64]] |
""" | |
This is a batched LSTM forward and backward pass | |
""" | |
import numpy as np | |
import code | |
class LSTM: | |
@staticmethod | |
def init(input_size, hidden_size, fancy_forget_bias_init = 3): |
# Mostly taken from: http://nbviewer.ipython.org/github/bmcfee/librosa/blob/master/examples/LibROSA%20demo.ipynb | |
import librosa | |
import matplotlib.pyplot as plt | |
# Load sound file | |
y, sr = librosa.load("filename.mp3") | |
# Let's make and display a mel-scaled power (energy-squared) spectrogram | |
S = librosa.feature.melspectrogram(y, sr=sr, n_mels=128) |
""" | |
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) |
# -*- coding: utf-8 -*- | |
import sys | |
import numpy | |
numpy.seterr(all='ignore') | |
''' |
So... this is obviously totally, 100%, like for. real. not. supported. by. Apple. …yet?
But still... I thought it was pretty badass. And, seeing how there's already a Swift buildpack for Heroku you could move some slow code into Swift can call it as a library function. But, you know, not in production or anything. That would be silly, right?
Now, having said that, the actual Python/Swift interop may have bugs. I'll leave that as an exercise to the reader.
{0: 'tench, Tinca tinca', | |
1: 'goldfish, Carassius auratus', | |
2: 'great white shark, white shark, man-eater, man-eating shark, Carcharodon carcharias', | |
3: 'tiger shark, Galeocerdo cuvieri', | |
4: 'hammerhead, hammerhead shark', | |
5: 'electric ray, crampfish, numbfish, torpedo', | |
6: 'stingray', | |
7: 'cock', | |
8: 'hen', | |
9: 'ostrich, Struthio camelus', |