BenjaminWegener

#install termux from f-droid
#copy commands or just use the command:
# pkg install curl -y && curl -s https://gist.githubusercontent.com/BenjaminWegener/94c3a293994b3050cff880c4f802fd62/raw/92b1c7056764af7e8548f66b4412c0615da46175/gistfile1.txt | bash

termux-setup-storage
pkg update -y
pkg upgrade -y
pkg install wget build-essential cmake git -y
git clone https://github.com/antimatter15/alpaca.cpp
cd alpaca.cpp

kevinlekiller

// LICENSE
// =======
// Copyright (c) 2017-2019 Advanced Micro Devices, Inc. All rights reserved.
// -------
// Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation
// files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy,
// modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the
// Software is furnished to do so, subject to the following conditions:
// -------
// The above copyright notice and this permission notice shall be included in all copies or substantial portions of the

atyuwen

//==============================================================================================================================
// An optimized AMD FSR's EASU implementation for Mobiles
// Based on https://github.com/GPUOpen-Effects/FidelityFX-FSR/blob/master/ffx-fsr/ffx_fsr1.h
// Details can be found: https://atyuwen.github.io/posts/optimizing-fsr/
// Distributed under the MIT License. Copyright (c) 2021 atyuwen.
// -- FsrEasuSampleH should be implemented by calling shader, like following:
//    AH3 FsrEasuSampleH(AF2 p) { return MyTex.SampleLevel(LinearSampler, p, 0).xyz; }
//==============================================================================================================================
 void FsrEasuL(
 out AH3 pix,

BenjaminWegener

def sub_pixel_conv(inputs, height, width, out_channels): #keras version of 2x pixel shuffle
    x = inputs
    x = SeparableConv2D(out_channels * 4, kernel_size = 9, depth_multiplier = 1, activation = 'tanh', padding = 'same')(x)
    x = Reshape((height, width, out_channels, 2, 2))(x)
    x = Permute((3, 2, 4, 1, 5))(x)
    x = Reshape((out_channels, height * 2, height * 2))(x)
    x = Permute((2, 3, 1))(x)
    return x

caisq

Custom Layers in TensorFlow.js (Stateful, Configurable, and Serializable)

A Pen by Shanqing Cai on CodePen.

License.

jiemojiemo

def add_gaussian_noise(image):
    # image must be scaled in [0, 1]
    with tf.name_scope('Add_gaussian_noise'):
        noise = tf.random_normal(shape=tf.shape(image), mean=0.0, stddev=(50)/(255), dtype=tf.float32)
        noise_img = image + noise
        noise_img = tf.clip_by_value(noise_img, 0.0, 1.0)
    return noise_img

moneytoo

	public Bitmap invert(Bitmap src)
	{ 
		int height = src.getHeight();
		int width = src.getWidth();    

		Bitmap bitmap = Bitmap.createBitmap(width, height, Bitmap.Config.ARGB_8888);
		Canvas canvas = new Canvas(bitmap);
		Paint paint = new Paint();
		
		ColorMatrix matrixGrayscale = new ColorMatrix();