nmwsharp

Pretty print tables summarizing properties of tensor arrays in numpy, pytorch, jax, etc.

Now on pip! `pip install arrgh` https://github.com/nmwsharp/arrgh

andrejbauer

open import Data.Nat
open import Data.Maybe
open import Data.Product

-- An implementation of infinite queues fashioned after the von Neuman ordinals

module Queue where

   infixl 5 _⊕_

newcarrotgames

# I _hope_ this is everything but there may be some other libs I forgot or you don't have, 
# so just use pip to install them if vqgan_clip.py complains about missing modules.
# Make some folder, cd into it, and run this.
git clone https://github.com/openai/CLIP                 
git clone https://github.com/CompVis/taming-transformers 
pip install ftfy regex tqdm omegaconf pytorch-lightning  
pip install kornia                                       
pip install stegano  
apt install exempi                                       
pip install python-xmp-toolkit                           

kylemcdonald

kylemcdonald

kylemcdonald

Theory of Building Caffe on OS X

Introduction

Our goal is to run python -c "import caffe" without crashing. For anyone who doesn't spend most of their time with build systems, getting to this point can be extremely difficult on OS X. Instead of providing a list of steps to follow, I'll try to explain why each step happens.

This page has OS X specific install instructions.

I assume:

karpathy

"""
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)

scneptune

var CrossfadeSample = {playing:false};

CrossfadeSample.play = function() {
  // Create two sources.
  this.ctl1 = createSource(BUFFERS.drums);
  this.ctl2 = createSource(BUFFERS.organ);
  // Mute the second source.
  this.ctl1.gainNode.gain.value = 0;
  // Start playback in a loop
  if (!this.ctl1.source.start) {