| /* | |
| Joseph Weizenbaum's classic ELIZA chat bot in Swift. | |
| Based on the IBM PC BASIC program from CREATIVE COMPUTING by Patricia | |
| Danielson and Paul Hashfield, and the Java adaptation by Jesper Juul. | |
| Run this script from Terminal: | |
| $ swift eliza.swift | |
| Press Ctrl-C or Ctrl-D to quit. (Or type "shut up".) |
| /* | |
| The "hello world" of neural networks: a simple 3-layer feed-forward | |
| network that implements an XOR logic gate. | |
| The first layer is the input layer. It has two neurons a and b, which | |
| are the two inputs to the XOR gate. | |
| The middle layer is the hidden layer. This has two neurons h1, h2 that | |
| will learn what it means to be an XOR gate. | |
| #pragma once | |
| #include <JuceHeader.h> | |
| /** | |
| Silences the buffer if bad or loud values are detected in the output buffer. | |
| Use this during debugging to avoid blowing out your eardrums on headphones. | |
| If the output value is out of the range [-1, +1] it will be hard clipped. | |
| */ | |
| inline void protectYourEars(float *buffer, int sampleCount) |
| // Compile this with: | |
| // $ gcc synth.c -o synth -framework AudioToolbox | |
| // Based on the CH07_AUGraphSineWave example from the book | |
| // "Learning Core Audio: A Hands-On Guide to Audio Programming | |
| // for Mac and iOS" by Chris Adamson and Kevin Avila | |
| #include <AudioToolbox/AudioToolbox.h> | |
| typedef struct |
| inline float denormalsToZero(float x) { | |
| return (std::abs(x) < 1e-15f) ? 0.0f : x; | |
| } | |
| /** | |
| mystran's Bi-quadratic filter | |
| https://www.kvraudio.com/forum/viewtopic.php?p=4836443#p4836443 | |
| This is not a direct form topology! Essentially it is modified coupled form |
| // Shows how to use the cancel ticket to abort the async block. | |
| #import "ExampleViewController.h" | |
| #import "MHCancelTicket.h" | |
| @implementation ExampleViewController | |
| { | |
| MHCancelTicket *_cancelTicket; | |
| } |
| import numpy as np | |
| i = np.array(list(range(1, 50)), dtype=np.float).reshape((7, 7)) | |
| k = np.array(list(range(1, 10)), dtype=np.float).reshape((3, 3)) | |
| print("Input:"); print(i) | |
| print("Kernel:"); print(k) | |
| # Forward convolution. We need to pad the input so that we can read from | |
| # its borders. (Not doing stride etc here.) |
| // Gets the path to the app's Documents folder | |
| - (NSString *)documentsDirectory | |
| { | |
| NSArray *paths = NSSearchPathForDirectoriesInDomains(NSDocumentDirectory, NSUserDomainMask, YES); | |
| return paths[0]; | |
| } | |
| // Gets the path to the data file | |
| - (NSString *)dataFilePath | |
| { |
I ran into a problem with Xcode 12's Core ML compiler, and several people have emailed me about what appears to be the same issue.
The workaround is to use Xcode 11 to compile the Core ML model. This means you still need to have Xcode 11 installed (which is a good idea anyway).
What worked for me is the following...
From the Terminal, switch to the Xcode 11.7 installation (your path may be different):
sudo xcode-select -s /Applications/Xcode11.7.app/Contents/Developer/