rkfg

#!/bin/sh

help () {
    log "Usage: `basename $0` [-h] [-n] [-a] [-u] [-s hh:mm:ss] [-d ss] [-w px] [-f n] [-S n] [-b n] [-t subtitle.sub] [-c default | basic | fontsize | fontstyle | full] <filename> [result.gif]
    
-h              show this help
-n              turn off subtitles
-a              don't open directory with frames in filemanager
-u              update this script from gist. Create .gifupd file in the script's directory to automatically check for updates once per day or put the number of seconds in the file to check with that period.
-s              start time in seconds or as hours:minutes:seconds, default: 0

rkfg

#!/bin/sh
TEACOUNT=8
TEADIV=
if [ -n "$1" ]
then
    TEADIV="_$1"
fi
HASH=$(echo -n "teatime_$(date +%d-%m-%Y)$TEADIV" | sha256sum | sed 's/\([0-9a-f]*\) .*/\1/' | tr '[:lower:]' '[:upper:]')
TEANUMBER=$(echo "ibase=16; scale=0; $HASH % $TEACOUNT" | bc)
echo "HASH=$HASH\nTea count=$TEACOUNT\nTea number=$TEANUMBER"

rkfg

#!/bin/bash
APIKEY=
ADDRESS=127.0.0.1:8080
WATCHDIRS=()
WATCHREPOS=()
TIMEOUTCHANGE=5

function watchdir {
  local CHANGED
  local EVENTS

rkfg

#!/bin/sh

INDEX=$(pacmd list-source-outputs | sed -n 's#\s*index\: \([0-9]*\)#\1#p' | head -n 1)
if [ -z "$INDEX" ]
then
  exit 1
fi

MONITOR=$(pacmd list-sources | sed -n 's#\s*name: <\(.*\.monitor\)>#\1#p' | head -n 1)
INPUT=$(pacmd list-sources | sed -n 's#\s*name: <\(.*_input.*\)>#\1#p' | head -n 1)

rkfg

#!/bin/sh
FLAGS=-v
if [ "$1" = "-n" ]
then
  FLAGS="$1"
  shift
fi
rename $FLAGS 's#(^\[[^]]*\])[ _]?(.+?)(\.([a-zA-Z0-9]*$)|$)#$2 $1$3#' "$@"

rkfg

#!/bin/sh
TEXT=$(xsel | awk '{print toupper($0)}')
(echo
echo $TEXT | sed 's#\(.\)#\1 #g'
echo $TEXT | sed 's#.\(.*\)#\1#' | sed 's#\(.\)#\1\n#g') | xsel -ib

rkfg

#!/bin/sh
FLAGS=
PICSPATH=
PREFIX=http://ipfs.pics/
if [ -d "$1" ]
then
  FLAGS=-r
else
  PICSPATH=ipfs/
fi

rkfg

        NeuralNetConfiguration.Builder builder = new NeuralNetConfiguration.Builder();
        builder.iterations(1).learningRate(LEARNING_RATE).rmsDecay(RMS_DECAY)
                .optimizationAlgo(OptimizationAlgorithm.STOCHASTIC_GRADIENT_DESCENT).seed(123).miniBatch(true).updater(Updater.RMSPROP)
                .weightInit(WeightInit.XAVIER).regularization(true).l2(L2)
                .gradientNormalization(GradientNormalization.RenormalizeL2PerLayer);

        GraphBuilder graphBuilder = builder.graphBuilder().pretrain(false).backprop(true).backpropType(BackpropType.TruncatedBPTT)
                .tBPTTBackwardLength(TBPTT_SIZE).tBPTTForwardLength(TBPTT_SIZE);
        graphBuilder.addInputs("firstLine").setInputTypes(InputType.recurrent(dict.size()))
                .addLayer("encoder", new GravesLSTM.Builder().nIn(dict.size()).nOut(HIDDEN_LAYER_WIDTH).activation(Activation.TANH).build(),

rkfg

package dlchat;

import java.io.ByteArrayInputStream;
import java.io.File;
import java.io.FileNotFoundException;
import java.io.IOException;
import java.nio.charset.StandardCharsets;
import java.nio.file.Files;
import java.nio.file.Path;
import java.nio.file.Paths;

rkfg

package dlchat;

import java.util.ArrayList;
import java.util.Collections;
import java.util.List;
import java.util.Map;

import org.apache.commons.lang3.ArrayUtils;
import org.nd4j.linalg.api.ndarray.INDArray;
import org.nd4j.linalg.dataset.api.MultiDataSet;