OverLordGoldDragon

from tensorflow.python.framework import ops
from tensorflow.python.keras import backend_config
from tensorflow.python.keras.optimizer_v2 import optimizer_v2
from tensorflow.python.ops import array_ops, control_flow_ops, math_ops, state_ops
from tensorflow.python.util.tf_export import keras_export
import keras.backend as K


@keras_export('keras.optimizers.Adam')
class Adam(optimizer_v2.OptimizerV2):

OverLordGoldDragon

from keras.layers import Input, Dense, LSTM, Conv1D, Activation
from keras.layers import Dropout, AlphaDropout, BatchNormalization
from keras.layers import GlobalAveragePooling1D, Reshape, multiply
from keras.models import Model
import keras.backend as K

import numpy as np
import matplotlib.pyplot as plt

#############################################################################

OverLordGoldDragon

# -*- coding: utf-8 -*-
"""README

**Requirements**
    Python 3, `steam` package (!pip install steam). Steam itself is *not* required.

**Usage**
    In Python terminal: 
      python path/steamlog.py --servers="name1 name2" --stats="players map" --savepath="path/logs.csv" --appid=224260 --interval=600

OverLordGoldDragon

import numpy as np
import matplotlib.pyplot as plt
from ssqueezepy import ssq_cwt, issq_cwt, TestSignals, icwt
from ssqueezepy.visuals import plot, imshow
from PIL import Image

N = 7000
Npad = 8192
x = TestSignals().echirp(N=N, fmin=64, fmax=512)[0]
x = np.pad(x, (Npad - N)//2)

OverLordGoldDragon

# -*- coding: utf-8 -*-
"""Skip to "Configure" section.
Install the zip (URL below), unzip, put in path.

pip install cmap
    or
conda install -c conda-forge cmap
"""
# https://github.com/OverLordGoldDragon/ssqueezepy/files/13063053/jtfs_fbank.zip

OverLordGoldDragon

# -*- coding: utf-8 -*-
"""
Minimal-code rewriting of BrainDecode's

    https://braindecode.org/stable/auto_examples/applied_examples/plot_sleep_staging_chambon2018.html
    https://github.com/braindecode/braindecode/blob/master/examples/applied_examples/plot_sleep_staging_chambon2018.py

It

    - Eliminates all (explicit) dependence on `braindecode`