sha256 stringlengths 64 64 | language stringclasses 28
values | size int32 1 491k | lines int32 1 23.2k | content stringlengths 1 200k |
|---|---|---|---|---|
2944cb47aea2e6c1da0887418c6419436923fb731f61ea3d2421303efdd6a329 | Shell | 5,550 | 132 | #!/usr/bin/env bash
# Copyright 2012-2014 Johns Hopkins University (Author: Daniel Povey, Yenda Trmal)
# Copyright 2019 Johns Hopkins University (Author: Shinji Watanabe)
# Apache 2.0
#
# This script provides official CHiME-6 challenge track 1 submission scores per room and session.
# It first calculates the bes... |
0c2fc97ce52c2a0e51677887aa81f034bd34b0b19812c21fad10c304dcbd3a37 | Shell | 5,551 | 140 | #!/usr/bin/env bash
. ./path.sh || exit 1;
if [ $# != 2 ]; then
echo "Usage: $0 <audio-path> <text-path>"
echo " $0 /export/corpora/LDC03S04 /export/corpora/LDC03T19"
exit 1;
fi
hkust_audio_dir=$1
hkust_text_dir=$2
train_dir=data/local/train
dev_dir=data/local/dev
# transcripts normalization and segmentatio... |
e3718dba4618a9211b9d14f78e5a9564cb84ebc5bd40f6db7684c05a4db91a7a | Shell | 5,572 | 194 | # This script runs 6th step to making GeneNetwork: Make the correlation matrix
set -e
set -u
project_dir=
outfile=
config_templates=
github_dir=
expression_file=
threads=
mem=
qos=
main(){
module load Java/1.8.0_144-unlimited_JCE
parse_commandline "$@"
rsync -vP $config_templates/6_CorrelationMatrix.json... |
d1a9fe2747ddc79564c936364b847efb831f2eeca33cb573b8afefd049a1adfd | Shell | 5,577 | 141 | #!/usr/bin/env bash
set -euo pipefail
# This script is called from local/nnet3/run_tdnn.sh and
# local/chain/run_tdnn.sh (and may eventually be called by more
# scripts). It contains the common feature preparation and
# iVector-related parts of the script. See those scripts for examples
# of usage.
stage=0
train_s... |
a425f925f31b5a21d1c762a7b20548627611f5e50f294d04ed3be524de294f8a | Shell | 5,578 | 160 | #!/bin/sh
# exit when command fails
set -e
. scripts/common.sh
# defaults
exepath=./f5c
testdir=test/ecoli_2kb_region_multifast5
bamfile=${testdir}/reads.sorted.bam
ref=${testdir}/draft.fa
reads=${testdir}/reads.fasta
batchsize=256
max_bases=2M
if command -v nproc > /dev/null; then
threads=$(nproc --all)
else
thr... |
9654bef5384161c4ac85bda647dc4fd3edf59d158505cd468475da915df7bee5 | Shell | 5,579 | 156 | #!/usr/bin/env bash
# Copyright 2015 Johns Hopkins University (Author: Vijayaditya Peddinti)
# Apache 2.0.
set -e
stage=0
# Location of aspire data.
aspire_data=/export/corpora/LDC/LDC2017S21/IARPA-ASpIRE-Dev-Sets-v2.0/data # for JHU
mean_rms=0.0417 # determined from the mean rms value of data/train_rvb/mean_rms
. .... |
128f994ad3219435696fc0efce4f6792b0df84f76665a2bce342814a2e545d6c | Shell | 5,583 | 153 | #!/usr/bin/env bash
# This is the "multi-splice" version of the online-nnet2 training script.
# It's currently the best recipe for aspire.
# You'll notice that we splice over successively larger windows as we go deeper
# into the network. The temporal context used for training on reverberant data
# is larger than that... |
d09ba01f7e22011e808da75a7ec8ebbf3d599f4d94cf58b0a819dfb968004e71 | Shell | 5,583 | 160 | #!/bin/sh
# exit when command fails
set -e
. scripts/common.sh
# defaults
exepath=./f5c
testdir=test/ecoli_2kb_region
bamfile=${testdir}/reads.sorted.bam
ref=${testdir}/draft.fa
reads=${testdir}/reads.fasta
batchsize=256
max_bases=2M
if command -v nproc > /dev/null; then
threads=$(nproc --all)
else
threads=8
fi
#... |
62e5a60872cc468e8be5b504210bb9d0b98a32d09c3d2f2c35dc4cdd5a838fa7 | Shell | 5,603 | 142 | #!/usr/bin/env bash
# Copyright 2012-2014 Brno University of Technology (Author: Karel Vesely)
# Apache 2.0
# This example script trains a DNN on top of fMLLR features.
# The training is done in 3 stages,
#
# 1) RBM pre-training:
# in this unsupervised stage we train stack of RBMs,
# a good starting point fo... |
833002071a51735225a2c853b2b0a56d3f21ea44872efa6444b449ff670a0738 | Shell | 5,629 | 168 | #!/usr/bin/env bash
# Copyright 2015 University of Sheffield (Jon Barker, Ricard Marxer)
# Inria (Emmanuel Vincent)
# Mitsubishi Electric Research Labs (Shinji Watanabe)
# 2017 JHU CLSP (Szu-Jui Chen)
# Apache 2.0 (http://www.apache.org/licenses/LICENSE-2.0)
# Copyright 2015,... |
cf5557e0d63c034f8ff4d07a5f038e845946b2b99f5d1349665334b6e8a6274d | Shell | 5,639 | 229 | #!/bin/bash
# run Trimmomatic
# script filename
script_path="${BASH_SOURCE[0]}"
script_name=$(basename "$script_path")
segment_name=${script_name/%.sh/}
echo -e "\n ========== SEGMENT: $segment_name ========== \n" >&2
# check for correct number of arguments
if [ $# -lt 4 ] ; then
echo -e "\n $script_name ERROR: W... |
30fc3a3d6939e5e58afe8f7e79f417552c7f57e670f27f5904cd5620ba8f7d35 | Shell | 5,647 | 150 | #!/usr/bin/env bash
# Copyright 2019 Beijing DataTang Tech. Co. Ltd. (Author: Liyuan Wang)
# 2017 Hui Bu
# 2017 Jiayu Du
# 2017 Xingyu Na
# 2017 Bengu Wu
# 2017 Hao Zheng
# Apache 2.0
# This is a shell script, but it's recommended that you run the commands one by
# on... |
11c5e9de8b649f90e69940cf37f33b620ddc890bce5c2f2b949dff1964d15b72 | Shell | 5,652 | 178 | #!/usr/bin/env bash
###
# Does not give improvements over xent+blstm system !!
#local/chain/run_blstm_ami_5.sh --mic sdm1 --use-ihm-ali false --max-wer 45 --affix msl1.5_45wer
# %WER 42.5 | 14769 94491 | 61.0 19.9 19.1 3.5 42.5 67.5 | 0.605 | exp/sdm1/chain/blstm_ami5_msl1.5_45wer_sp/decode_dev/ascore_9/dev_hires_o4.... |
98ea4d428b5fb90a99c8e0ef387a35ae4587c754555391530933f3de3dc0d589 | Shell | 5,656 | 169 | #!/usr/bin/env bash
set -e
# Copyright 2014 QCRI (author: Ahmed Ali)
# Apache 2.0
. ./path.sh
. ./cmd.sh ## You'll want to change cmd.sh to something that will work on your system.
## This relates to the queue.
nJobs=120
nDecodeJobs=40
#NB: You can add whatever number of copora you like. The supported e... |
48d1eb359710df7e86b72a2741f5a385d30db3c0013a8072dbbb5f9ce6b50309 | Shell | 5,657 | 191 | #!/usr/bin/env bash
# shellcheck source=../utils.sh
source $( cd -- "$(dirname "$0")" >/dev/null 2>&1 ; pwd -P )/../utils.sh
# Check if there is input
[[ ( $# -eq 0 ) ]] && displayhelp $0 1
# Preparing the default values for variables
aseg=none
anat=none
adir=none
applynuisance=no
motthr=0.3
outthr=0.05
polort=4
den... |
5764de51708a0873c010ce41d75ec67c3ef18260dd76bb4cfbad79e26b4eaf99 | Shell | 5,663 | 148 | #!/usr/bin/env bash
# this script has common stages shared across AMI chain recipes
set -e
# configs for 'chain'
stage=0
mic=ihm
use_ihm_ali=false
# chain options
frames_per_eg=150
max_wer=
# output directory names
dir=
treedir=
lang=
min_seg_len=
# End configuration section.
echo "$0 $@" # Print the command line f... |
17428a87bfbd050416a56f63260eb9f4fe5f54c37aeafef893adf8cc2ac33e8e | Shell | 5,668 | 160 | #!/usr/bin/env bash
# Copyright 2016 Vincent Nguyen
# 2016 Johns Hopkins University (author: Daniel Povey)
# 2017 Vimal Manohar
# Apache 2.0
#
# This script is used to train LMs using pocolm toolkit.
# We use limit-unk-history=true, which truncates the history left of OOV word.
# This ensure th... |
63d51240b234a4d49f3f502e52b2aa883d9825d16f117d5fdf0d0009685fb746 | Shell | 5,677 | 191 | #!/usr/bin/env bash
# Copyright 2015 Johns Hopkins University (Author: Daniel Povey).
# 2015 Vijayaditya Peddinti
# 2015 Xingyu Na
# 2015 Pegah Ghahrmani
# Apache 2.0.
# this is a basic lstm script, it can also be used to train blstm models.
# the blstm can be run using local/nnet3/... |
6e58dd0b9df593b9838e9d5fb03d889d7bb6bb46dac79cd7ee224b03344e30b1 | Shell | 5,683 | 200 | #!/usr/bin/env bash
# Copyright 2013-2014 Johns Hopkins University (authors: Jan Trmal, Guoguo Chen, Dan Povey)
# Copyright (c) 2016, Johns Hopkins University (Yenda Trmal <jtrmal@gmail.com> )
# License: Apache 2.0
# begin configuration section.
cmd=run.pl
stage=0
nbest_final=900
nbest_small=20
extraid=
skip_scoring=... |
2f99244a1e518a40d9aa355d9906b0cc911c5744865bb1176747a7d40497d156 | Shell | 5,691 | 156 | #!/usr/bin/env bash
# Copyright 2014 Vimal Manohar, Johns Hopkins University (Author: Jan Trmal)
# Apache 2.0
set -o pipefail
set -e
nj=8
cmd=run.pl
stage=0
segmentation_opts="--isolated-resegmentation --min-inter-utt-silence-length 1.0 --silence-proportion 0.05"
decoder_extra_opts=""
reference_rttm=
get_text=false... |
11e54a3a4f6164477fde8c707679fab55604c7513d90536cb90eb630ab53f8ad | Shell | 5,699 | 160 | #!/usr/bin/env bash
# This is the standard "tdnn" system, built in nnet3.
# Please see RESULTS_* for examples of command lines invoking this script.
# local/nnet3/run_tdnn.sh --mic sdm1 --use-ihm-ali true
# local/nnet3/run_tdnn.sh --mic ihm --stage 11
# local/nnet3/run_tdnn.sh --mic ihm --train-set train --gmm t... |
c8afe818d84f2b5795c574a72bfb32ceb77b3eb5d138b908a247dd3a735bde54 | Shell | 5,709 | 144 | #!/usr/bin/env bash
# this script contains some common (shared) parts of the run_nnet*.sh scripts.
# speed perturbation is done for the training data
stage=0
mic=ihm
num_threads_ubm=32
nj=10
use_ihm_ali=false
use_sat_alignments=true
. ./cmd.sh
. ./path.sh
. ./utils/parse_options.sh
volume_perturb_datadir() {
dir... |
b26b3aa20550c78393a5fb3d696bbcc1b98646616e41ef583d600138ae43a304 | Shell | 5,710 | 144 | #!/usr/bin/env bash
# Copyright 2019 Ashish Arora, Yusuke Fujita
# Apache 2.0.
# This script takes a reference and hypothesis text file, and performs
# multispeaker scoring.
stage=0
cmd=queue.pl
num_spkrs=4
num_hyp_spk=4
datadir=dev_beamformit_dereverb
get_stats=true
all_array=false
declare -a recording_id_array=... |
8cbce12862aef5f26543edd498a8409373b26887ee7d9049f00e0a5ec3383c49 | Shell | 5,711 | 139 | #!/bin/bash
# Copyright 2012 Johns Hopkins University (Author: Daniel Povey)
# Copyright 2020 Hossein Hadian
# Apache 2.0
# This is similar to align_fmllr_lats.sh except it works with non-SAT
# systems e.g. tri1 or tri2
# Computes training alignments using a model with delta or
# LDA+MLLT features.
# If you supply... |
8aaec4191c279ae100c08bafb632eb08bb1ff73d631a1d1117984f216fe977d8 | Shell | 5,712 | 156 | #!/usr/bin/env bash
# Copyright 2014 Vimal Manohar, Johns Hopkins University (Author: Jan Trmal)
# Apache 2.0
set -o pipefail
set -e
nj=8
cmd=run.pl
stage=0
segmentation_opts="--isolated-resegmentation --min-inter-utt-silence-length 1.0 --silence-proportion 0.05"
decoder_extra_opts=""
reference_rttm=
get_text=false... |
6037b80ec3970fe72688d4106b746f9dd46832ab301908dfb755eb7ef88c29b9 | Shell | 5,733 | 161 | #!/usr/bin/env bash
# This script is based on aishell/s5/local/nnet3/tuning/run_tdnn_1a.sh
# In this script, the neural network in trained based on hires mfcc and online pitch.
# The online pitch setup requires a online_pitch.conf in the conf dir for both training
# and testing.
# results
# local/nnet3/compare_wer.s... |
085e429d55c31439ff2cc5505ae5d8a080a2f24720bbb915db5da34d9feaae7b | Shell | 5,798 | 141 | #!/usr/bin/env bash
# Copyright Johns Hopkins University (Author: Daniel Povey) 2012. Apache 2.0.
# begin configuration section.
cmd=run.pl
stage=0
min_lmwt=5
max_lmwt=17
word_ins_penalty=0.0,0.5,1.0
#end configuration section.
[ -f ./path.sh ] && . ./path.sh
. parse_options.sh || exit 1;
if [ $# -ne 3 ]; then
ec... |
0d4287e7206266c42435fbe0d92830a97adb844146b771d8fa202ed51c945f7c | Shell | 5,808 | 170 | #!/bin/bash -e
# Copyright 2014 QCRI (author: Ahmed Ali)
# 2019 Dongji Gao
# Apache 2.0
# This is the recipe for GALE Arabic speech translation project.
# It is similar to gale_arabic/s5b but with more training data.
num_jobs=60
num_decode_jobs=60
decode_gmm=true
stage=0
overwrite=true
# GALE Arabic phase... |
02dc3ea555bc66eb40bd99e94176edf213c388df177b278f506c483b70b4576a | Shell | 5,812 | 228 | #!/bin/bash
# merge fastqs or create symlinks to originals if no need to merge
# script filename
script_path="${BASH_SOURCE[0]}"
script_name=$(basename "$script_path")
segment_name=${script_name/%.sh/}
echo -e "\n ========== SEGMENT: $segment_name ========== \n" >&2
# check for correct number of arguments
if [ ! $... |
090830323cfec2d2fb0dd45040bb677120ed7872add763a6fc5918319cb69832 | Shell | 5,815 | 164 | #!/usr/bin/env bash
#
# Based mostly on the TED-LIUM and Switchboard recipe
#
# Copyright 2017 Johns Hopkins University (Author: Shinji Watanabe and Yenda Trmal)
# Apache 2.0
#
# This is a subset of run.sh to only perform recognition experiments with evaluation data
# Begin configuration section.
decode_nj=20
stage=... |
d402be1c75d49f860e78b7e3267494394171ab12c7b4f84c4936a0a68f15b79d | Shell | 5,825 | 152 | #!/usr/bin/env bash
set -e
# Copyright 2009-2012 Microsoft Corporation Johns Hopkins University (Author: Daniel Povey)
# Apache 2.0.
# This is modified from the script in standard Kaldi recipe to account
# for the way the WSJ data is structured on the Edinburgh systems.
# - Arnab Ghoshal, 29/05/12
# Modified from ... |
ca6b00af811b21422c7f9f3a32ba0a37a9da51da5b343d3230f8e1156b18c44f | Shell | 5,836 | 152 | #!/usr/bin/env bash
set -e
# Copyright 2009-2012 Microsoft Corporation Johns Hopkins University (Author: Daniel Povey)
# Apache 2.0.
# This is modified from the script in standard Kaldi recipe to account
# for the way the WSJ data is structured on the Edinburgh systems.
# - Arnab Ghoshal, 29/05/12
# Modified from... |
585a69208a27807c48d46a9523b1dac6b6ba99951f94f6abd63e968b2ceb8c25 | Shell | 5,866 | 175 | #!/usr/bin/env bash
# Copyright 2021 Xiaomi Corporation (Author: Yongqing Wang)
# Seasalt AI, Inc (Author: Guoguo Chen)
# Prepares the dictionary and auto-generates pronunciations for the words that
# are in our training data but not in the CMUdict.
set -e -o pipefail
nj=4 # number of parallel Sequi... |
60f99214a7d2649b05951b5a16894869bd0aa146a8c1b820ca2635db6621b9c2 | Shell | 5,884 | 165 | #!/usr/bin/env bash
# Copyright Johns Hopkins University (Author: Daniel Povey, Vijayaditya Peddinti) 2016. Apache 2.0.
# This script generates the ctm files for dev_aspire, test_aspire and eval_aspire
# for scoring with ASpIRE scoring server.
# It also provides the WER for dev_aspire data.
set -e
# general opts
it... |
4c4d6f89154d4551b87dcf8324ade06e78b0f3f7bbb8cdb3e987817af25e82ae | Shell | 5,885 | 126 | #!/usr/bin/env bash
# Prerequisite checks for package-carla-ue4. Read-only, no sudo.
# Exits non-zero ONLY on hard blockers; WARN means a later step handles it.
# On-camera banner: every skill run announces itself, so a terminal recording
# shows which skill is doing the work rather than just its output. The name is
# ... |
42b566563dda18e39aaa538fa045ba26021b8c592df5e638e1b1442c481ad9c1 | Shell | 5,888 | 255 | #!/bin/bash
# run BWA-MEM
# script filename
script_path="${BASH_SOURCE[0]}"
script_name=$(basename "$script_path")
segment_name=${script_name/%.sh/}
echo -e "\n ========== SEGMENT: $segment_name ========== \n" >&2
# check for correct number of arguments
if [ $# -lt 4 ] ; then
echo -e "\n $script_name ERROR: WRONG... |
b083b21b0662bfbea0bc47860fba01c3c08ab688c491938b878ab5a1c7c6c636 | Shell | 5,912 | 124 | #!/usr/bin/env bash
# Preflight — read-only checks that the host can build CARLA ue4-dev.
# Prints a PASS/WARN/FAIL report; exits non-zero only on hard blockers.
# Run by the MCP check_prerequisites(name) tool.
# On-camera banner: every skill run announces itself, so a terminal recording
# shows which skill is doing th... |
6672e8e444151c5a0fea0a83eb93bc8ee1de1bde338df611ca4ba4353b8f34c9 | Shell | 5,916 | 119 | #!/usr/bin/env bash
# Self-contained environment for the write-leaderboard-agent skill (CARLA Leaderboard).
# Source before the skill's other scripts: source scripts/env.sh
#
# The Leaderboard is a thin evaluation harness that needs `carla` + `agents` for
# the simulator. Up to 2.1 it also imports `srunner` for the sc... |
054eba976b4f60416f1d5067ce1d63687cc3fe04a058238e0fa9656f3c8a9fb9 | Shell | 5,917 | 148 | #!/usr/bin/env bash
# Copyright 2012 Johns Hopkins University (Author: Daniel Povey)
# Carnegie Mellon University (Author: Yajie Miao)
# Apache 2.0.
# This is a modified version by Yajie for BNF front-end.
# Create denominator lattices for MMI/MPE training, with SGMM models. If the
# features have f... |
06740f95d757377c795c4b5eff3cf5dc743b3b8654267cff221d47f7bdd4074d | Shell | 5,917 | 119 | #!/usr/bin/env bash
# Self-contained environment for the create-leaderboard-route skill (CARLA Leaderboard).
# Source before the skill's other scripts: source scripts/env.sh
#
# The Leaderboard is a thin evaluation harness that needs `carla` + `agents` for
# the simulator. Up to 2.1 it also imports `srunner` for the s... |
43247a0fd5ec3cfa4996e97f240fe53ca3510f008cdd882a11ecbcb23b6271b8 | Shell | 5,917 | 119 | #!/usr/bin/env bash
# Self-contained environment for the read-leaderboard-results skill (CARLA Leaderboard).
# Source before the skill's other scripts: source scripts/env.sh
#
# The Leaderboard is a thin evaluation harness that needs `carla` + `agents` for
# the simulator. Up to 2.1 it also imports `srunner` for the s... |
ce3655464ae56ec8143aea1ab3a0aca687f18040d820ca57e6c55df7ff249beb | Shell | 5,918 | 119 | #!/usr/bin/env bash
# Self-contained environment for the package-leaderboard-agent skill (CARLA Leaderboard).
# Source before the skill's other scripts: source scripts/env.sh
#
# The Leaderboard is a thin evaluation harness that needs `carla` + `agents` for
# the simulator. Up to 2.1 it also imports `srunner` for the ... |
5df1c3ed8c564637d55444fc886e6dbb17260a9bb2611b900880d0b444048b20 | Shell | 5,919 | 148 | #!/usr/bin/env bash
set -euo pipefail
# This script is called from local/nnet3/run_tdnn.sh and
# local/chain/run_tdnn.sh (and may eventually be called by more
# scripts). It contains the common feature preparation and
# iVector-related parts of the script. See those scripts for examples
# of usage.
stage=0
train_s... |
647b91c2ce80eca8a66a53b10ad1953a68330649dd5f9f7da517e9e3a2fcaa30 | Shell | 5,919 | 119 | #!/usr/bin/env bash
# Self-contained environment for the run-leaderboard-evaluation skill (CARLA Leaderboard).
# Source before the skill's other scripts: source scripts/env.sh
#
# The Leaderboard is a thin evaluation harness that needs `carla` + `agents` for
# the simulator. Up to 2.1 it also imports `srunner` for the... |
4d403d509ed61213148142c8d559ea08236911d96cb25c6e80b313d75dc5895f | Shell | 5,933 | 186 | #!/usr/bin/env bash
# This script makes sure that only the segments present in
# all of "feats.scp", "images.scp" [if present], segments [if present]
# text, and utt2spk are present in any of them.
# It puts the original contents of data-dir into
# data-dir/.backup
utt_extra_files=
spk_extra_files=
. utils/parse_opt... |
8012d91d90ad66b88d9c0f83466de02c78673caee0f3ac85843476dfda65abd5 | Shell | 5,951 | 207 | #!/usr/bin/env bash
# Copyright 2012 Johns Hopkins University (Author: Guoguo Chen, Yenda Trmal)
# License: Apache 2.0
help_message="$(basename $0): do keyword indexing and search. data-dir is assumed to have
kws/ subdirectory that specifies the terms to search for. Output is in
d... |
5c5b153ead51ffff03c3495bb14add91d9413e7fdeabbd17af83efb424e9ec32 | Shell | 5,955 | 147 | #!/usr/bin/env bash
# This script aims at helping create a PR to update the manifests of the
# kubeflow/kubeflow repo.
# This script:
# 1. Checks out a new branch
# 2. Copies files to the correct places
# 3. Commits the changes
#
# Afterwards the developers can submit the PR to the kubeflow/manifests
# repo, based on ... |
19b500f2e7aa8858daaf1197d2c3ac64e5b7a8edd10d3a170e6801ad4edbb7ef | Shell | 5,964 | 181 | #!/bin/bash
set -e
set -o pipefail
. conf/common_vars.sh || exit 1;
. ./lang.conf || exit 1;
type=dev10h
data_only=false
fast_path=true
skip_kws=false
skip_stt=false
tmpdir=`pwd`
. utils/parse_options.sh
if [ $# -ne 0 ]; then
echo "Usage: $(basename $0) --type (dev10h|dev2h|eval|shadow)"
exit 1
fi
if [[ "$ty... |
1bf417d7750213a6bc6766a5698c12e370222f0178326b3b5703f585897de425 | Shell | 5,968 | 181 | #!/bin/bash
set -e
set -o pipefail
. conf/common_vars.sh || exit 1;
. ./lang.conf || exit 1;
type=dev10h
data_only=false
fast_path=true
skip_kws=false
skip_stt=false
tmpdir=`pwd`
. utils/parse_options.sh
if [ $# -ne 0 ]; then
echo "Usage: $(basename $0) --type (dev10h|dev2h|eval|shadow)"
exit 1
fi
if [[ "$ty... |
b709799d70e583a746f00a6a1743a7c6df31a4b281b32c3ec84ca65c88137619 | Shell | 5,968 | 149 | #!/usr/bin/env bash
set -euo pipefail
# This script is called from local/nnet3/run_tdnn.sh and
# local/chain/run_tdnn.sh (and may eventually be called by more
# scripts). It contains the common feature preparation and
# iVector-related parts of the script. See those scripts for examples
# of usage.
stage=0
train_s... |
8befe43a8a8e6b0c1d7c4f694e42b067ed6ed7552e426a3c56c962702c722927 | Shell | 5,971 | 151 | #!/usr/bin/env bash
set -euo pipefail
# This script is called from local/nnet3/run_tdnn.sh and
# local/chain/run_tdnn.sh (and may eventually be called by more
# scripts). It contains the common feature preparation and
# iVector-related parts of the script. See those scripts for examples
# of usage.
stage=0
train_s... |
96bdaad7ffa01511c535b75c815d800290caede7c9a7da900c35ca6d84d63b17 | Shell | 5,971 | 157 | #!/usr/bin/env bash
# Copyright 2013 Carnegie Mellon University (Author: Yajie Miao)
# Apache 2.0
# Create pfiles for deep neural network training
# Assumes the training alignment is ready and features are (LDA+MLLT or delta+delta-delta)
# + fMLLR
#
# We splice 9 frames (+4, -4) of LDA+MLLT+fMLLR features, which ha... |
f3c0346731d8967e038fd634d2d64f95bc0dc7210519af99aad10dc28852acfc | Shell | 5,980 | 125 | #!/usr/bin/env bash
# Self-contained environment for the package-carla-ue4 skill.
# Source this before running the skill's scripts: source env.sh
#
# The skill library is engine-agnostic — it ships inside a CARLA checkout but
# not necessarily the ue4-dev one this skill targets — so the target instance
# is chosen at ... |
201ecb992fde2b9bb0307ee3c841aee89096ed37d3a664b017ba295325dca73c | Shell | 5,986 | 140 | #!/usr/bin/env bash
# Copyright 2017 Johns Hopkins University (Author: Daniel Garcia-Romero)
# 2017 Johns Hopkins University (Author: Daniel Povey)
# 2017-2018 David Snyder
# 2018 Ewald Enzinger
# 2020 Tsinghua University (Author: Ruiqi Liu and Lantian Li)
# Apache... |
1a941aef60b2ce2aefc0678d72ed25654dd2894d6bbb285c98bff2c6d0c95485 | Shell | 6,007 | 138 | #!/usr/bin/env bash
# Prerequisite checks for the Scenic skills. Read-only, no sudo, fast — the MCP
# check_prerequisites(name) tool must never hang.
# Exits non-zero on hard blockers: no scenic CLI, scenic/carla not importable from
# the same interpreter, client/server version mismatch, no server.
# On-camera banner: ... |
1d19ca1293776b793053cd40af096e364feaf41641ab80f34f732e45f63fd67a | Shell | 6,007 | 155 | #!/usr/bin/env bash
# Copyright 2017 Beijing Shell Shell Tech. Co. Ltd. (Authors: Hui Bu)
# 2017 Jiayu Du
# 2017 Xingyu Na
# 2017 Bengu Wu
# 2017 Hao Zheng
# Apache 2.0
# This is a shell script, but it's recommended that you run the commands one by
# one by copying and pasting ... |
e0fcfcd56f66ba1fc7d8257ae376265a271b198216f6baa7b3ccf296aa3e0d9c | Shell | 6,012 | 145 | #!/usr/bin/env bash
set -euo pipefail
# This script is modified based on mini_librispeech/s5/local/nnet3/run_ivector_common.sh
# This script is called from local/nnet3/run_tdnn.sh and
# local/chain/run_tdnn.sh (and may eventually be called by more
# scripts). It contains the common feature preparation and
# iVector... |
59508679890e73a7371a03728596d3554fd2763a7d0180baa2371756dd534f63 | Shell | 6,016 | 240 | #!/bin/bash
# GATK on-target coverage (capture efficiency)
# script filename
script_path="${BASH_SOURCE[0]}"
script_name=$(basename "$script_path")
segment_name=${script_name/%.sh/}
echo -e "\n ========== SEGMENT: $segment_name ========== \n" >&2
# check for correct number of arguments
if [ ! $# == 4 ] ; then
ech... |
8afaf8ce42acfd044f82fd992bf067d9124fdc9e1ce56fdc34903dcfdd245670 | Shell | 6,024 | 154 | #!/bin/bash -u
# Copyright 2012 Arnab Ghoshal
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# THIS CODE IS PROVIDED *AS IS* BASIS, WITHOUT... |
12e90a2d4734e1d442d507610042240c7cb4fa47bfec5d4f83afcf391051691f | Shell | 6,025 | 178 | #!/usr/bin/env bash
# based on run_tdnn_6h.sh
set -e
# configs for 'chain'
stage=12
train_stage=-10
get_egs_stage=-10
dir=exp/chain/blstm_6h
decode_iter=
decode_dir_affix=
# training options
num_epochs=4
remove_egs=false
common_egs_dir=
affix=
chunk_width=150
chunk_left_context=40
chunk_right_context=40
# End conf... |
949155b9e39e9e674fc97e69a485bcb3d1db6a7f3be73d402e9d29904426cbda | Shell | 6,028 | 131 | #!/usr/bin/env bash
# Run the CARLA Leaderboard evaluator with a preflight and a guaranteed async reset.
#
# TEAM_AGENT=~/team_code/my_agent.py bash run_leaderboard.sh --routes-subset 0
# bash run_leaderboard.sh --routes .../routes_validation.xml --repetitions 3
# bash run_leaderboard.sh --resume 1
#
# Everything... |
4d674a4147171e854a076c50037294164668cce20312d6960248d76e9d8e9c49 | Shell | 6,042 | 149 | #!/usr/bin/env bash
# Copyright 2018 David Snyder
# 2018 Johns Hopkins University (Author: Daniel Garcia-Romero)
# 2018 Johns Hopkins University (Author: Daniel Povey)
# Apache 2.0.
# This script trains the x-vector DNN. The recipe is similar to the one
# described in "Diariza... |
eaf49cf4c6337d60d66a005c5e35b57deac72e16657c5d6bad720b4b01a2ccf7 | Shell | 6,042 | 149 | #!/usr/bin/env bash
# Copyright 2018 David Snyder
# 2018 Johns Hopkins University (Author: Daniel Garcia-Romero)
# 2018 Johns Hopkins University (Author: Daniel Povey)
# Apache 2.0.
# This script trains the x-vector DNN. The recipe is similar to the one
# described in "Diariza... |
b5f349bb2283e65295c20f9a6d244f6d947cc6b8f49f63163a24ff6e9d8149ac | Shell | 6,047 | 139 | #!/usr/bin/env bash
#set -e
# this script is based on local/online/run_nnet2_comman.sh
# but it operates on corrupted training/dev/test data sets
stage=1
foreground_snrs="20:10:15:5:0"
background_snrs="20:10:15:5:0"
num_data_reps=3
ali_dir=exp/
db_string="'air' 'rwcp' 'rvb2014'" # RIR dbs to be used in the experiment... |
79673004ec8257cb4e0340fee7d26866c6f842389330bcd159d20236ddfe350e | Shell | 6,056 | 121 | #!/usr/bin/env bash
# Self-contained environment for the run-scenario skill (ScenarioRunner client).
# Source before the skill's other scripts: source scripts/env.sh
#
# ScenarioRunner is pure Python: nothing is built. What it needs is an
# importable `carla`, the `agents` package that ships *only* inside a CARLA
# tr... |
7ae06946de9d458e3712b8a59ea27a174a95b78c858d5bf8aeed43648f5ecc66 | Shell | 6,059 | 121 | #!/usr/bin/env bash
# Self-contained environment for the create-scenario skill (ScenarioRunner client).
# Source before the skill's other scripts: source scripts/env.sh
#
# ScenarioRunner is pure Python: nothing is built. What it needs is an
# importable `carla`, the `agents` package that ships *only* inside a CARLA
#... |
5ca420c62de052a20142150385cc643a81c467b8ad029e7470fb0a558c607b18 | Shell | 6,060 | 121 | #!/usr/bin/env bash
# Self-contained environment for the run-openscenario skill (ScenarioRunner client).
# Source before the skill's other scripts: source scripts/env.sh
#
# ScenarioRunner is pure Python: nothing is built. What it needs is an
# importable `carla`, the `agents` package that ships *only* inside a CARLA
... |
c9d4bbb42e81879665081380e49cf71130476b154252b9e060cdb6f4e774552c | Shell | 6,062 | 121 | #!/usr/bin/env bash
# Self-contained environment for the run-route-scenario skill (ScenarioRunner client).
# Source before the skill's other scripts: source scripts/env.sh
#
# ScenarioRunner is pure Python: nothing is built. What it needs is an
# importable `carla`, the `agents` package that ships *only* inside a CARL... |
99e55fbbc53566cb128077be8c2c366e274bf5d95aa2c5b9b69566f632aa04ca | Shell | 6,064 | 150 | #!/usr/bin/env bash
# Adapted from egs/mini_librispeech/s5/local/nnet3/run_ivector_common.sh (commit 92c99ee51caeba4be7c5ab39ea7c1d6100f3d67b)
set -euo pipefail
# This script is called from local/nnet3/run_tdnn.sh and
# local/chain/run_tdnn.sh (and may eventually be called by more
# scripts). It contains the common... |
b7f4bde2949eebd168d343bae4859bbdcbb46ae462b42fc42ecf1c245c45835d | Shell | 6,068 | 121 | #!/usr/bin/env bash
# Self-contained environment for the analyze-scenario-results skill (ScenarioRunner client).
# Source before the skill's other scripts: source scripts/env.sh
#
# ScenarioRunner is pure Python: nothing is built. What it needs is an
# importable `carla`, the `agents` package that ships *only* inside ... |
552c40c39d9ca013bd2ea64686558cf134a0aa8a75903d96a4e686d48c9a108e | Shell | 6,093 | 168 | #!/usr/bin/env bash
# Copyright 2020 Johns Hopkins University (Author: Desh Raj)
# Apache 2.0.
#
# This recipe performs diarization for the mix-headset data in the
# AMI dataset. The x-vector extractor we use is trained on VoxCeleb v2
# corpus with simulated RIRs. We use oracle SAD in this recipe.
# This recipe dem... |
0e537137ce5e29cb03d6ecb5b48d9eb4b40a85f01b4fd89cac464e40c5579cc6 | Shell | 6,098 | 138 | #!/usr/bin/env bash
. ./cmd.sh
set -e
stage=1
train_stage=-10
generate_alignments=false # false if doing chain training
speed_perturb=true
. ./path.sh
. ./utils/parse_options.sh
# perturbed data preparation
train_set=train_nodup
if [ "$speed_perturb" == "true" ]; then
if [ $stage -le 1 ]; then
#Although the nn... |
d3a63a755a7509bd737641420ab232e90a46e40fdb5b344263aeb8004f3b38ef | Shell | 6,147 | 164 | #!/usr/bin/env bash
#Simple script to create compound set info that will allow for more automatized
#work with the shadow set.
#
#The notion of shadow data set came from the need to be able to verify
#the output of the recognizer during decoding the evaluation data.
#The idea is simple -- instead of decoding just the ... |
b1ce409ea3c081711333041ce3162c3bded48d8b035a4a718683e42c037ca618 | Shell | 6,159 | 164 | #!/usr/bin/env bash
# Copyright 2016 Johns Hopkins University (Author: Daniel Povey, Vijayaditya Peddinti)
# 2019 Vimal Manohar
# Apache 2.0.
# This script does 2-stage decoding where the first stage is used to get
# reliable frames for i-vector extraction.
set -e
# general opts
iter=
stage=0
nj=30
affi... |
7538cda26526b600d03fd78850dc4201c10856761a8f9c174a022e6b04cfe838 | Shell | 6,160 | 153 | #!/usr/bin/env bash
# Copyright 2017 David Snyder
# 2017 Johns Hopkins University (Author: Daniel Garcia-Romero)
# 2017 Johns Hopkins University (Author: Daniel Povey)
#
# Copied from egs/sre16/v1/local/nnet3/xvector/tuning/run_xvector_1a.sh (commit e082c17d4a8f8a791428ae4d9f7ce... |
c9b96f3cbc2ab6b511c026d890c0316281448c3919deaa2401c0f0a59c6dbce6 | Shell | 6,194 | 138 | #!/usr/bin/env bash
# Prerequisite checks for import-carla-prop. Read-only, no sudo.
# Exits non-zero ONLY on hard blockers; WARN means a later step handles it.
# Run by the MCP check_prerequisites(name) tool.
# On-camera banner: every skill run announces itself, so a terminal recording
# shows which skill is doing the... |
abe5ef8795236d425f146d358c45eb8e3eda7190822ad657811f48f414b0ea55 | Shell | 6,198 | 150 | #!/usr/bin/env bash
set -euo pipefail
# This script is called from local/nnet3/run_tdnn.sh and local/chain/run_tdnn.sh
# (and may eventually be called by more scripts). It contains the common feature
# preparation and ivector-related parts of the script. See those scripts for
# examples of usage.
stage=0
train_set=... |
0e3656732e6c5792dc5f2443f966cb1154e1a0413b89b6184ce49252a1dfa0c0 | Shell | 6,201 | 246 | #!/bin/bash
# HMMRATAC peak calling for ATAC-seq
# script filename
script_path="${BASH_SOURCE[0]}"
script_name=$(basename "$script_path")
segment_name=${script_name/%.sh/}
echo -e "\n ========== SEGMENT: $segment_name ========== \n" >&2
# check for correct number of arguments
if [ ! $# == 4 ] ; then
echo -e "\n $... |
0b4d06b9732be801b529dcba4f44edb162bf1d17bc454a058da5ce37e1875422 | Shell | 6,205 | 168 | #!/bin/bash
# Copyright 2020 Audio, Speech and Language Processing Group (ASLP@NPU), Northwestern Polytechnical University (Authors: Zhuoyuan Yao, Xiong Wang, Jingyong Hou, Lei Xie)
# 2020 AIShell-Foundation (Author: Bengu WU)
# 2020 Beijing Shell Shell Tech. Co. Ltd. (Author: Hui BU)
# Apache 2.... |
d89ab355091fb7309a85b5687bb8b940426b764a58a0806e589e6ffa622dda44 | Shell | 6,223 | 201 | #!/bin/bash
##
## RNA-seq using STAR aligner
##
# script filename
script_path="${BASH_SOURCE[0]}"
script_name=$(basename "$script_path")
route_name=${script_name/%.sh/}
echo -e "\n ========== ROUTE: $route_name ========== \n" >&2
# check for correct number of arguments
if [ ! $# == 2 ] ; then
echo -e "\n $script_... |
082fc8605a95b69ba494d96dac43489833f751225ad2f5f56e77c7665ae7dc5a | Shell | 6,230 | 155 | #!/usr/bin/env bash
# Copyright 2017 David Snyder
# 2017 Johns Hopkins University (Author: Daniel Garcia-Romero)
# 2017 Johns Hopkins University (Author: Daniel Povey)
#
# Copied from egs/sre16/v1/local/nnet3/xvector/tuning/run_xvector_1a.sh (commit e082c17d4a8f8a791428ae4d9f7ce... |
b1dce82342f9b85d21dee1071211deaa742e1d01f9e449ec2964f83b48ad11a4 | Shell | 6,230 | 155 | #!/usr/bin/env bash
# Copyright 2017 David Snyder
# 2017 Johns Hopkins University (Author: Daniel Garcia-Romero)
# 2017 Johns Hopkins University (Author: Daniel Povey)
#
# Copied from egs/sre16/v1/local/nnet3/xvector/tuning/run_xvector_1a.sh (commit e082c17d4a8f8a791428ae4d9f7ce... |
bd848fbb5ca7839290f9e2a7b80f3fb4f7872541a5db0c3da69a703407cf9786 | Shell | 6,232 | 155 | #!/usr/bin/env bash
# Copyright 2017 David Snyder
# 2017 Johns Hopkins University (Author: Daniel Garcia-Romero)
# 2017 Johns Hopkins University (Author: Daniel Povey)
#
# Copied from egs/sre16/v1/local/nnet3/xvector/tuning/run_xvector_1a.sh (commit e082c17d4a8f8a791428ae4d9f7ce... |
25e6a58dbfc19c46c50e8934cd2c05c82ece6fe6c0d25bab5b0ecfd8f4d4b2b6 | Shell | 6,245 | 179 | #!/usr/bin/env bash
#
# To be run from one directory above this script.
## The input is some directory containing the switchboard-1 release 2
## corpus (LDC97S62). Note: we don't make many assumptions about how
## you unpacked this. We are just doing a "find" command to locate
## the .sph files.
# for example /mnt... |
75b3f058d0ddc296342b2cb97e5dee496ba539f80952ff011003e1852e9f1f12 | Shell | 6,247 | 187 | #!/bin/bash
# Copyright 2020 Audio, Speech and Language Processing Group (ASLP@NPU), Northwestern Polytechnical University (Authors: Zhuoyuan Yao, Xiong Wang, Jingyong Hou, Lei Xie)
# 2020 AIShell-Foundation (Author: Bengu WU)
# 2020 Beijing Shell Shell Tech. Co. Ltd. (Author: Hui BU)
# Apache 2.... |
68f50e43db861a57ec931dce1424b7864e722436ec187dea74cc9f7c0d5b080e | Shell | 6,251 | 179 | #!/usr/bin/env bash
#
# To be run from one directory above this script.
## The input is some directory containing the switchboard-1 release 2
## corpus (LDC97S62). Note: we don't make many assumptions about how
## you unpacked this. We are just doing a "find" command to locate
## the .sph files.
# for example /mnt... |
b3efd475c38d2b484946e43518548e80e4d18e4d1a8f2888a53d179f35df2ba9 | Shell | 6,253 | 181 | #!/usr/bin/env bash
# Copyright 2012-2013 Brno University of Technology (Author: Karel Vesely)
# Apache 2.0
# In this recipe we build DNN in four stages:
# 1) Data preparations : the fMLLR features are stored to disk
# 2) RBM pre-training : in this unsupervised stage we train stack of RBMs, a good starting point for... |
6be6fd9c9bde65368ce6e1cd69f009e58815be4c7c1f60153823bc892137643e | Shell | 6,255 | 162 | #!/usr/bin/env bash
# Copyright 2017-2018 Daniel Povey
# 2017-2018 David Snyder
# 2017-2018 Matthew Maciejewski
# Apache 2.0.
# This script is a modified version of diarization/extract_ivectors.sh
# that extracts x-vectors instead of i-vectors for speaker diarization.
#
# The script... |
7e945597b30af9427f99f809ce90a6fdc3c2fac715c676dee29a7928138ffb64 | Shell | 6,278 | 142 | #!/usr/bin/env bash
# Copyright 2015 University of Sheffield (Jon Barker, Ricard Marxer)
# Inria (Emmanuel Vincent)
# Mitsubishi Electric Research Labs (Shinji Watanabe)
# Apache 2.0 (http://www.apache.org/licenses/LICENSE-2.0)
# This script is made from the kaldi recipe of the 2nd CHi... |
784fd6373466bd5cb5adfc865540a3b0082a85a3bb561ab6de34e470f07e1fcf | Shell | 6,286 | 137 | #!/usr/bin/env bash
# Copyright 2019 Zili Huang
# This script is a wrapper for Variational Bayes resegmentation.
# It shows how to use the code from Brno University of Technology
# to do resegmentation.
# Begin configuration section.
nj=20
cmd=run.pl
stage=0
max_speakers=10
max_iters=10
downsample=25
alphaQInit=10... |
e5f47b59a265a9cd7bc355a79b5346007d6392e646d0031051a5479cf2275f98 | Shell | 6,286 | 150 | #!/usr/bin/env bash
# Copyright 2012 Johns Hopkins University (Author: Guoguo Chen)
# Apache 2.0.
nj=32
cmd=run.pl
beam=5 # Beam for proxy FST; usually used together with the nbest option
nbest=100 # First n best proxy keywords
phone_cutoff=5 # We don't generate proxy ke... |
33183ff7958acce47beb1f6a8eaf440afa6d45520c34502c9ee0def79d4b2b66 | Shell | 6,309 | 154 | #!/usr/bin/env bash
# This script is modified based on swbd/s5c/local/nnet3/run_ivector_common.sh
# this script contains some common (shared) parts of the run_nnet*.sh scripts.
. ./cmd.sh
stage=0
num_threads_ubm=32
ivector_extractor=
set -e
. ./cmd.sh
. ./path.sh
. ./utils/parse_options.sh
gmm_dir=exp/tri5a
alig... |
610a59198932d8fa7835ae43676b5c1b8f260ab98a03d5569351fd8956ed12f6 | Shell | 6,312 | 189 | #!/usr/bin/env bash
# Copyright 2013 Johns Hopkins University (Author: Daniel Povey)
# Apache 2.0.
stage=0
. utils/parse_options.sh
if [ $# -eq 0 ]; then
echo "$0 <fisher-dir-1> [<fisher-dir-2> ...]"
echo " e.g.: $0 /export/corpora3/LDC/LDC2004T19 /export/corpora3/LDC/LDC2005T19\\"
echo " /export/corpora3/LD... |
95c62c4dabd62b26c7a38bf0dbbf274c26bbcf7587ad80bee0031d18e5598146 | Shell | 6,332 | 259 | #!/usr/bin/env bash
SCRIPT_DIR="$( cd -- "$( dirname -- "${BASH_SOURCE[0]}" )" >/dev/null 2>&1 && pwd )"
brain_extract () {
${SCRIPT_DIR}/brainmask.sh "$@"
}
version() {
local script_file=${1:-''}
local script_dir
script_dir=$( dirname "$(readlink -f "${BASH_SOURCE[0]}")" )
tag=0
[ $( git -C "${script_dir}" re... |
c1bf25be88380c74fc574177d9536cb18bd0c4f5e8a05b1e142ad676504eb4fa | Shell | 6,344 | 163 | #!/usr/bin/env bash
#
# Copyright 2014 Gaurav Kumar. Apache 2.0
# The input is the Callhome Spanish Dataset. (*.sph files)
# In addition the transcripts are needed as well.
# To be run from one directory above this script.
# Note: when creating your own data preparation scripts, it's a good idea
# to make sure that... |
f652ca14966debdc90f3d2657aace4ad5ad2418a793f7445e83bbc5c611f2a57 | Shell | 6,352 | 216 |
# This script runs 6th step to making GeneNetwork: Make the correlation matrix
set -e
set -u
project_dir=
outfile=
config_templates=
jardir=
eigenvector_file=
threads=
mem=
qos=
github_dir=
main(){
module load Java/1.8.0_144-unlimited_JCE
parse_commandline "$@"
eigname=$(basename $eigenvector_file)
... |
c3e2b36509245bf97288cb459a3c33edff00f31c820d9ea9b3d22d2d52d56446 | Shell | 6,359 | 164 | #!/usr/bin/env bash
#
# Copyright 2014 Gaurav Kumar. Apache 2.0
# The input is a subset of the dataset in use. (*.sph files)
# In addition the transcripts are needed as well.
# This script is only called internally and should not be
# used for any other purpose. A similar script for general usage
# is local/fsp_... |
d0f9c44648aa0b3e00f207d1349c0093a8eaf45f18efb678b745dd1395788403 | Shell | 6,359 | 101 | #!/usr/bin/env bash
# Copyright 2020 Xuechen LIU
# Apache 2.0.
#
# perform text-independent training & scoring on HIMIA
set -e
. ./path.sh
. ./cmd.sh
stage=8
lda_dim=200
nj=10
use_gpu=false
. ./utils/parse_options.sh
nnetdir=$1
sc_trial=$2
mc_trial=$3
# xvector embedding extraction
if [ $stage -le 8 ]; then
for ... |
6a246ef293632a3d0f5957e472b5d798aaf7cc46657d0e7926a18cb250ae88bd | Shell | 6,366 | 125 | screen -RD HAIB_GATA2_K562_SE
DATA_ROOT=/srv/scratch/leepc12/data; WORK_DIR=/srv/scratch/leepc12/run/chipseq_test; SUFFIX=GATA2/HAIB_GATA2_K562_SE
mkdir -p ${WORK_DIR}/$SUFFIX; cd ${WORK_DIR}/$SUFFIX;
bds /users/leepc12/code/bds_atac/chipseq/chipseq.bds \
-fastq1 ${DATA_ROOT}/GATA2/SE/HAIB_GATA2_K562_SE/HAIB_GATA2_K56... |
443c3ea1a0fad5341fc237ce375a8bb2284496ff55d97c391206db1b3191f4fc | Shell | 6,379 | 131 | #!/bin/bash
#$ -cwd
#$ -V
#$ -N F5C-METHCALL
#$ -S /bin/bash
#$ -b y
#$ -pe smp 32
#$ -l mem_requested=4G
#$ -l h_vmem=4G
#$ -l tmp_requested=150G
#$ -l nvgpu=1
###################################################################
## example SGE script - resource efficient methylation calling pipeline for a dataset wit... |
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