Zyser SynthAether

Enthusiast of neural synthesizers and vocoders, always curious.

SynthAether / vectorized-atan2f.cpp

Created December 12, 2023 17:11 — forked from bitonic/vectorized-atan2f.cpp

Vectorized & branchless atan2f

	// Copyright (c) 2021 Francesco Mazzoli <[email protected]>
	//
	// Permission to use, copy, modify, and distribute this software for any
	// purpose with or without fee is hereby granted, provided that the above
	// copyright notice and this permission notice appear in all copies.
	//
	// THE SOFTWARE IS PROVIDED "AS IS" AND THE AUTHOR DISCLAIMS ALL WARRANTIES
	// WITH REGARD TO THIS SOFTWARE INCLUDING ALL IMPLIED WARRANTIES OF
	// MERCHANTABILITY AND FITNESS. IN NO EVENT SHALL THE AUTHOR BE LIABLE FOR
	// ANY SPECIAL, DIRECT, INDIRECT, OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES

SynthAether / clean_py.sh

Created June 29, 2022 18:21 — forked from luzfcb/clean_py.sh

Recursively removes all .pyc files and __pycache__ directories in the current directory

	#!/bin/sh

	# recursively removes all .pyc , .pyo files and __pycache__ directories in the current
	# directory

	find . \| \
	grep -E "(__pycache__\|\.pyc$\|\.pyo$)" \| \
	xargs rm -rf

	# or, for copy-pasting:

SynthAether / persistent.cpp

Created September 29, 2019 07:15 — forked from guozhou/persistent.cpp

A minimum CUDA persistent thread example.

	#include <iostream>
	#include <cuda_runtime.h>
	#include <device_launch_parameters.h>

	// GTS450 sm_21
	#define NUM_SM 4 // no. of streaming multiprocessors
	#define NUM_WARP_PER_SM 48 // maximum no. of resident warps per SM
	#define NUM_BLOCK_PER_SM 8 // maximum no. of resident blocks per SM
	#define NUM_BLOCK NUM_SM * NUM_BLOCK_PER_SM
	#define NUM_WARP_PER_BLOCK NUM_WARP_PER_SM / NUM_BLOCK_PER_SM

SynthAether / check_model_at_cpy.ipynb

Created February 8, 2019 12:48 — forked from melgor/check_model_at_cpy.ipynb

How to restore CUDNNLSTM of TensorFlow at CPU device? So that it could be used in GPU, CPU or Mobile

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SynthAether / min-char-rnn.py

Created January 2, 2019 07:40 — forked from karpathy/min-char-rnn.py

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)

SynthAether / gru.py

Created December 26, 2018 14:29 — forked from danijar/gru.py

Gated Recurrent Unit with Layer norm and Xavier initializer

	from __future__ import absolute_import
	from __future__ import division
	from __future__ import print_function

	import numpy as np
	import tensorflow as tf


	class GRU(tf.contrib.rnn.RNNCell):