sha256 stringlengths 64 64 | language stringclasses 28
values | size int32 1 491k | lines int32 1 23.2k | content stringlengths 1 200k |
|---|---|---|---|---|
9dbff391f9a9d9105045194bfc5eaed12373bbc5898a17257edcf3a6030cf6b5 | Scala | 131 | 7 | package org.phenoscape.owlery
object Vocabulary {
val isSatisfiable = "http://purl.org/phenoscape/owlery.owl#isSatisfiable"
}
|
68af00d2e012785c4b64b9803f64c5f5d1c5318873e1edfa20dd7b24c6892274 | Scala | 191 | 11 | package CNN
import chisel3._
import chisel3.experimental._
trait DataConfig{
val DataWidth = 32
val FPWidth = 64
val BinaryPoint = 32
val QuantizationWidth = 8
}
|
34174a27bce14452a492d02c4296b59ca9d62860d18018ebe85cbb20c90c2db7 | Scala | 244 | 13 | package org.phenoscape.owlery
import com.google.common.base.Optional
object Util {
implicit class OptionalOption[T](val self: Optional[T]) extends AnyVal {
def asScala: Option[T] = if (self.isPresent) Some(self.get) else None
}
}
|
e11e8214910b9b9b55e7beb95a5344085ea23886e22257f2e7a617aae91f9519 | Scala | 445 | 25 | package CNN
import chisel3._
import chisel3.experimental._
// 0 cycle
class ReLU extends Module with DataConfig{
val io = IO(new Bundle
{
val data = Input(SInt(QuantizationWidth.W))
val zero_point = Input(SInt(QuantizationWidth.W))
val result = Output(SInt(QuantizationWidth.W))
})
... |
652a2f7fff44ab172ad31b881ba195a6d51d480c3d022d1c9ee19c354dbd24c6 | Scala | 470 | 14 | package org.phenoscape.owlery
import akka.http.scaladsl.marshallers.sprayjson.SprayJsonSupport.sprayJsonMarshaller
import akka.http.scaladsl.marshalling.{Marshaller, ToEntityMarshaller}
import spray.json.DefaultJsonProtocol._
import spray.json._
trait MarshallableOwlery {
def kbs: Map[String, Knowledgebase]
imp... |
aa41cef585af834fb7eed0aff6ca6333fa245bc9826921d77561cd2cccc28046 | Scala | 537 | 24 | package CNN
import chisel3._
import chisel3.experimental._
// 0 cycle
// MaxPooling
class Diy_Counter(Max: Int, Min: Int=0, Init : Int=0) extends Module with DataConfig{
val io = IO(new Bundle{
val en = Input(Bool())
val number = Output(UInt(DataWidth.W))
})
val counter = Reg... |
5474bf58900f5f8ad1e82cc610adb6bb68b9b7642c23546269df45d9550898b3 | Scala | 705 | 23 | package CNN
import chisel3._
import chisel3.experimental._
import Array._
// 0 cycle
class One_Class_Partial_Linear(length: Int) extends Module with DataConfig{
val io = IO(new Bundle{
val data = Input(Vec(length, SInt(QuantizationWidth.W)))
val weights = Input(Vec(length, SInt(Quantizat... |
3c67d4ecdea0803a93c4d8eb40e7d9930b1c50d72f8864d6833b57ef546cc2e5 | Scala | 1,011 | 25 | package org.phenoscape.owlery
import org.phenoscape.owlery.PrefixEntityChecker.KnownEntities
import org.semanticweb.owlapi.apibinding.OWLManager
import org.semanticweb.owlapi.manchestersyntax.parser.ManchesterOWLSyntaxClassExpressionParser
import org.semanticweb.owlapi.model._
import scala.collection.Map
import scala... |
10d102cec5b8f18bd6ae3258c3fe4bf333bb61148af486cb11b01cbfd4be64b0 | Scala | 1,169 | 29 | package CNN
import chisel3._
import chisel3.util._
import chisel3.experimental._
import scala.math.floor
class Pooling_layer(is_max: Boolean, one_in_channel_num: Int, pooling_kernel_row: Int, pooling_kernel_col: Int) extends Module with DataConfig{
val io = IO(new Bundle{
val data = Input(Vec(o... |
17803c72e69a52b5e293863c3f3aceb6bacc68b5db7ae261c30397eda24ffee1 | Scala | 1,205 | 22 | package CNN
import chisel3._
import chisel3.experimental._
trait NetworkConfig{
val net_structure = "cCcCccCccCccCfff"
val in_height = Array(224, 224, 112, 112, 112, 56, 56, 56, 56, 28, 28, 28, 28, 14, 14, 14, 14, 7)
val in_channel = Array(3, 64, 64, 128, 128, 256, 256, 256, 512, 512, 512, 512, 512,... |
bbb589772be47abd3b91f0733c5e74096cbff1ef47c1e44dd56e60f469fe4051 | Scala | 1,429 | 50 | package CNN
import chisel3._
import chisel3.experimental._
// 0 cycle
// MaxPooling
class Max_Pooling(pooling_kernel_row: Int, pooling_kernel_col: Int) extends Module with DataConfig{
val io = IO(new Bundle{
val data = Input(Vec(pooling_kernel_row, Vec(pooling_kernel_col, SInt(QuantizationW... |
6f6d26617e6b07da3cdb6b43ccad04d397215f476fb7fe251cddcccb43fca844 | Scala | 1,822 | 31 | package org.phenoscape.owlery
import akka.http.scaladsl.marshalling.{Marshaller, ToEntityMarshaller}
import akka.http.scaladsl.model.{HttpCharsets, HttpEntity, MediaType}
import akka.http.scaladsl.unmarshalling.{FromEntityUnmarshaller, Unmarshaller}
import org.apache.jena.query._
object SPARQLFormats {
val `applic... |
73f342bc34f92bf3e872055820c1840338ed4cf1e42758abaa480edeb75ca141 | Scala | 2,270 | 46 | package org.phenoscape.owlery
import akka.http.scaladsl.marshalling.{Marshaller, ToEntityMarshaller}
import akka.http.scaladsl.model.{HttpCharsets, MediaType, MediaTypes}
import akka.http.scaladsl.unmarshalling.{FromEntityUnmarshaller, Unmarshaller}
import org.phenoscape.owlet.ManchesterSyntaxClassExpressionParser
imp... |
00fa6f73e920e399541743570c7956e5bd45ea93f76d6057421940776f5981d4 | Scala | 2,942 | 103 | package CNN
import chisel3._
import chisel3.experimental._
import scala.math._
// 量化部分乘法
class PartialQMultiplier extends Module with DataConfig{
val io =IO(new Bundle{
val qa = Input(SInt(QuantizationWidth.W))
val qb = Input(SInt(QuantizationWidth.W))
val za = Input(SInt(Quanti... |
9f16d0122db8c031496e4b183bfa8c557b0a6a27b14762eeadeb9f718e012dfe | Scala | 3,618 | 76 | package org.phenoscape.owlery
import java.io.File
import java.util.UUID
import com.typesafe.config.{Config, ConfigFactory}
import org.apache.commons.io.FileUtils
import org.obolibrary.robot.CatalogXmlIRIMapper
import org.geneontology.whelk.owlapi.WhelkOWLReasonerFactory
import org.semanticweb.HermiT.ReasonerFactory
i... |
39ab7509ac8c84bb7bbd18c099d6153071f1c679c31ce8d48c378fe86a39cb52 | Scala | 4,100 | 120 | package CNN
import chisel3._
import chisel3.experimental._
// 0 cycle
class Kernel_Compute_Unit(kernel_size_row: Int, kernel_size_col: Int) extends Module with DataConfig{
val io = IO(new Bundle{
val data = Input(Vec(kernel_size_row, Vec(kernel_size_col, SInt(QuantizationWidth.W))))
val w... |
f83f9abf13ef01b494418eb80d86c75ab26819ef508be7595a2388b22dcef939 | Scala | 4,168 | 111 | package org.phenoscape.owlery
import org.apache.jena.sys.JenaSystem
import org.semanticweb.elk.owlapi.ElkReasonerFactory
import org.semanticweb.owlapi.apibinding.OWLManager
import org.semanticweb.owlapi.model.IRI
import spray.json.{JsArray, JsString}
import utest._
import scala.concurrent.ExecutionContext.Implicits.g... |
21368592802c863f54f20d6d916d14c9883afbb2a5c2b7b7cb0f9bc612e49cac | Scala | 4,173 | 100 | package org.phenoscape.owlery
import org.phenoscape.owlery.PrefixEntityChecker.KnownEntities
import org.semanticweb.owlapi.apibinding.OWLManager
import org.semanticweb.owlapi.expression.OWLEntityChecker
import org.semanticweb.owlapi.model._
import org.semanticweb.owlapi.model.parameters.Imports
import org.semanticweb.... |
4dc9769e4258fbf05970ce4679ecb676f86a161a6bf4a0023f3b6ab9c813ae1d | Scala | 5,411 | 179 | package CNN
import chisel3._
import chisel3.experimental._
class Reg_Array(Datawidth: Int, Channel: Int, Row: Int, Column: Int) extends Module with DataConfig{
// Index转换
def InDeX(Ch: Int, Rw: Int, Cl: Int): Int={
var index = Ch * (Row * Column) + Rw * Column + Cl
return index
... |
a4d2a8065f6af6cb7fb95c16507649470822bfa7072fd7e8c473044fb8f53701 | Scala | 8,011 | 212 | package CNN
import scala.io.{BufferedSource, Source}
import scala.runtime.ScalaRunTime._
import java.io._
class NetModel{
var net_structure = ""
var in_height = Array(1)
var in_channel = Array(1)
var out_channel = Array(1)
var last_in_channel = Array(1)
var pre_in_channel = Array(1... |
9777bf5ece06a01e591b6facbbfda93e4adf5076d3d775ee2edd188eb6202cc7 | Scala | 8,146 | 220 | package CNN
import chisel3._
import chisel3.util._
import chisel3.experimental._
import scala.math.floor
class Fully_Connected_Layer(length: Int, mini_lenght: Int) extends Module with DataConfig{
val io = IO(new Bundle{
val data = Input(Vec(mini_lenght, SInt(QuantizationWidth.W)))
val ... |
2952171c585dc4e8f2b271655eb1fa95c8a0832fa7fb67fceb78a7c0cdea2154 | Scala | 9,788 | 227 | package org.phenoscape.owlery
import akka.event.Logging
import akka.http.scaladsl.marshallers.sprayjson.SprayJsonSupport.sprayJsonMarshaller
import akka.http.scaladsl.model.{StatusCodes, Uri}
import akka.http.scaladsl.server.{ExceptionHandler, HttpApp, Route, ValidationRejection}
import akka.http.scaladsl.unmarshallin... |
9a795edbb65bcec2e91aee171614ccc3a3b47d9d011b0a08e9a345174c220605 | Scala | 9,849 | 190 | package org.phenoscape.owlery
import org.apache.jena.query.{Query, ResultSet}
import org.phenoscape.owlery.PrefixEntityChecker.KnownEntities
import org.phenoscape.owlery.Util.OptionalOption
import org.phenoscape.owlet.Owlet
import org.semanticweb.owlapi.apibinding.OWLManager
import org.semanticweb.owlapi.model
import ... |
2479c8ef3e1944aa99ddd927c78a88f4903d8ecb6215bc88e5e6b167dfda75ba | Scala | 11,731 | 295 | package CNN
import chisel3.stage.{ChiselStage, ChiselGeneratorAnnotation}
import chisel3.experimental._
import chisel3._
import chisel3.RawModule
import java.io._
import java.io.File
import Array._
import scala.io.{BufferedSource, Source}
import scala.runtime.ScalaRunTime._
object NetworkComponentsGen ext... |
e9e7ce4a824b738d6bd677fa1a56246ad30496367b9330e53b6876bfb5c78598 | Scala | 14,802 | 405 | package CNN
import chisel3.stage.{ChiselStage, ChiselGeneratorAnnotation}
import chisel3.experimental._
import chisel3._
import chisel3.RawModule
import java.io._
import java.io.File
import Array._
object CLGen extends App {
// chisel3.Driver.execute(args, () => new Pipeline())
(new chisel3.stage.Chis... |
f1fc5e20710a40a5b741e02a1a830a01a3c27f1d1d560046f6507c50392da3fc | Scala | 36,971 | 1,066 | package CNN
import scala.util.Random
import chisel3._
import chiseltest._
import org.scalatest._
import scala.io.Source
import chisel3.util._
import chisel3.experimental._
import scala.util.control.Breaks._
import chiseltest.experimental.TestOptionBuilder._
import chiseltest.internal.WriteVcdAnnotation
imp... |
ea02dc088b8a26c4edf0b2940d8e7994ac0ebc98eb321759278958fb0662e0d8 | Scala | 41,944 | 923 | package CNN
import chisel3._
import chisel3.util._
import chisel3.experimental._
import scala.math.floor
import scala.math.ceil
class Convolutional_Layer(all_in_channel_num: Int, one_in_channel_num: Int, kernel_size_row: Int, kernel_size_col: Int, delay: Boolean=true) extends Module with DataConfig{
va... |
1458b41fe13ccdc26239848d5e6cd287c508030eba34d384588c973fcd235ad6 | Shell | 29 | 1 | gcc -o tracer -g simTracer.c
|
748eef0a30403eba3c2ad48a16ef39e5bdc1593168fc3d2f0b01d3184ad893c4 | Shell | 30 | 2 | kill `cat pid.log`
rm pid.log
|
22891abe6cbeb28dbdca81fd8ecd6096b5f3276a58edab4c81a5c1c222619147 | Shell | 31 | 1 | gcc -o extract -g extractImg.c
|
fab90966b7fd76defc6d2d1451d3a58d27417c63c23f2725a574b455737bc7d8 | Shell | 31 | 2 | #!/bin/bash
yarn start --silent |
f88a273b523cb8b456938783b2fab632102441d95b73b3ca3e1e7d56e14a29bb | Shell | 34 | 1 | gcc -o template -g getMeanAsTml.c
|
068a65ec8341e860c8d150e0f59e681b3e0e2a545d225ebee7e2cc98a066302c | Shell | 35 | 1 | gcc -o param -g getClassifyParam.c
|
0ae1c09da8c06bec75853fabb648354aa16ed15782a5bdeb3aa1c28aa6cae927 | Shell | 37 | 1 | gcc -o classify -g linear_classify.c
|
a89e819c0e75c51180680ca32e23f8e828a5471eda8acc03e5ef90f65b737b7d | Shell | 39 | 2 | #!.bin.sh
autoreconf --force --install
|
be2ff6e1cab50920b8e0c209d745d63bf98393339858dacfcfe4efea791baf21 | Shell | 41 | 1 | ipython3 charpragcap/utils/build_data.py
|
6f5a066a8b2cbb71bb85d6bf35b047f0e707dabe7fd3a48aa5809e7755f77f60 | Shell | 42 | 5 | #!/bin/bash
set -e
./resources/build.sh
|
f931239dc0a6c38bf9233aa0d0dc897416ccad0416b997240b1d23b43d418eaf | Shell | 44 | 3 | pushd lib/gpu
python3 setup.py install
popd
|
ed79806bcddf7ad8d28613d390a0da25f9cdd4b9d694b32b98cd5b13a2ae4ef3 | Shell | 49 | 3 | #!/bin/sh
# properties = {properties}
{exec_job}
|
acb25fe96ae5dd78feb6df1044d86909de81bf3b1d4ee2cf2894a8f9abaa4f6b | Shell | 53 | 3 | cp ga.html ../client
mup deploy
rm ../client/ga.html
|
25bc79c34ede3aeb571855f93dc8cc4866e6e9b994fd0f2c15832bb206e92939 | Shell | 54 | 5 | #!/bin/bash
set -e
mvn -B clean verify package "$@"
|
e374e107485c9194c5c94fbe8e0532056a0de2bcaa31d3e1c4079274171046d7 | Shell | 57 | 3 | #!/bin/bash
# write NSP echo with prompt
echo "NSP> $@" |
b815dedba85bc5463935027ef57c8f05ffd8e2b2601a981e01941449d72a99ca | Shell | 58 | 1 | cp LargeConns.net.nml /var/www/NeuroMLmodels/NMLNT000071/
|
17e66be30f067468ba4805f9c50581c4b0d0f9d935b83865a27613da3d235b6e | Shell | 60 | 2 | for i in opt20*; do sed -i '.bak' '1,10s/NO/YES/' $i; done
|
ffe7f64e7cb494f750eb3d46968e879b84fb22702c0ef67ba35fe0d79d5c3c8b | Shell | 63 | 3 |
Rscript generalized_pairwise_hexbins.R -m example_matrix.txt
|
ab52ab72918a4d3459d95e6fdb017e7171f9588509c351f8ea75081e139fee5f | Shell | 64 | 9 | #!/usr/bin/env bash
. ./cmd.sh
# ...
local/nnet2/run_5c.sh
|
a99456ec26d48c4054cce743d23f799ad4348c61d388486a546abd702282ffb4 | Shell | 66 | 4 | #!/bin/bash
echo "starting backend"
cd flask
python run_server.py
|
123e3a5a06e85e0cb4684096447f01702fa5f7eab5355a0f23b0b93d3dea5d51 | Shell | 67 | 7 | #!/bin/bash
set -e
exec runuser -u drugex-test-runner -- "$@"
|
f5f5b711090192e378b1688fb54a60ee19c4ce92f71cdd89823ee2b41c1b043a | Shell | 70 | 4 | #!/bin/bash
N=`ls *.pdb | wc -l`
./cgRNASP ./ ${N} energy_list.txt
|
9572797aaf43e2a099839fce80dd7f6bfe50ba11a04113fd6a316c79cc6f7741 | Shell | 72 | 4 | #!/bin/bash
N=`ls *.pdb | wc -l`
./cgRNASP-C ./ ${N} energy_list.txt
|
8671b74a21bb48af5a5ebab2b8f207edf46cdfd3b40b7716fae46d5b3c8a354a | Shell | 74 | 3 | awk -v OFS="\t" '$1=$1' $1 > $1.tab
bgzip $1.tab
tabix -b 3 -e 3 $1.tab.gz |
93ab8e5ee8c07c3fb7669e08c30ceefd3fa081213558eb1f95f277da1c929f16 | Shell | 74 | 5 | #!/bin/bash
N=`ls *.pdb | wc -l`
./cgRNASP-PC ./ ${N} energy_list.txt
|
f121e776dd4f765073d89853c1126608062d99a47fe62fee1616a7d4c37d6bd9 | Shell | 75 | 7 | set -e
docker-compose down --remove-orphans
./build.sh
docker-compose up |
4740f7eba6c512062a383fdb22455d7892c209fdc6931ea15512910e97418edf | Shell | 76 | 5 | #!/bin/bash
while read p
do
./run_probis.sh $p
done < benchmark_set.txt
|
47489a0a4db172a781dfaf604f5a0fd9ee4a8ffc359cf8c610da53e342923188 | Shell | 77 | 4 | #!/bin/bash
N=`ls *.pdb | wc -l`
./rsRNASP-batch ./ ${N} energy_list2.txt
|
a7533fa86b454b36b9d75c88092b0874d9022aad868eaca9417dfda7eeec193e | Shell | 78 | 4 | #!/bin/bash
export PATH="$PWD"/unetsl/scripts:$PATH
export PYTHONPATH="$PWD"
|
fcf96bb63e9c63389b9bddd1764ae7f41c7fbf600abba6b40a8ad363e8ff9ab3 | Shell | 78 | 8 | #!/bin/bash
if [ ! -d out ]; then
mkdir out
fi
cd out || exit
cmake ..
make |
71899f8b468b945c125ccaf65b2ab053c5cabc82ea94f1ef3682081d7eca00f8 | Shell | 81 | 1 | /usr/local/nsp-server/src/sh/runS3Mod.sh 2neurons test '2neurons' 0.000006 1 3 & |
f108dd34ae559d4b1f8e966b726144b6e29af3f374133b00728f96d31de48946 | Shell | 83 | 6 | #!/bin/sh
while read p
do
./run_one.sh $p &
sleep 1
done < ../benchmark_list.txt
|
8db0c26648c50b9eba5442a62faa93ed6a048420fee126c65eabfba0874481c9 | Shell | 86 | 6 | #!/bin/bash
for pdblist in `ls *.pdb`
do
./rsRNASP ${pdblist} energy_list1.txt
done
|
adf66fc536eae055ac884ff718a85bbd77818cd6fbd91ecb752d51ea9bf1b94e | Shell | 90 | 7 | #!/usr/bin/env bash
set -e -o pipefail
set -x
steps/score_kaldi.sh "$@"
echo "$0: Done"
|
d887a62142cb4f54fe2c81fe0f3275470bc0fd0a120a3ac859e13fc6c30ce49c | Shell | 91 | 1 | cat ./docs/slides/manifest.txt | xargs -I % cp -r ./docs/slides/%/%.pdf ./docs/_build/html/ |
8debaf21342fd7fd960da7fb949063c6e2cfac0778bb11ac086f7d021978976c | Shell | 94 | 4 | #!/bin/bash
#
#create enviroment with requirement.txt
conda env create -f requirement.yml
|
0ed6e985c78052ad58f4f6daa87c291695c3ef5ab95eb3540093348205d33543 | Shell | 97 | 4 | #!/usr/bin/env bash
# Apply clang format to all source files
clang-format -i *.c *.h *.cu *.cuh
|
68cc4ad8a81662d14ef200914e50f10b61b3d7266b6134c330464c1b890cd6f8 | Shell | 97 | 3 | pip uninstall vame
python3 setup.py sdist bdist_wheel
pip install dist/vame-1.0-py3-none-any.whl
|
76aa8e38de2da9c7cc8311550e40c9a2d1d6992bfdba2b2558292d7ef6cfc6de | Shell | 97 | 3 | source activate py38b
export PYTHONPATH=$PYTHOPATH:../ndsvae
export SUBJECTS_FILE="subjects.txt"
|
2c78969a40b51ba1c113e8bc3bf54c4a9c8c345ed86b248f7b94e40128062ac4 | Shell | 98 | 4 | export train_cmd=run.pl
export decode_cmd=run.pl
export cuda_cmd=run.pl
export mkgraph_cmd=run.pl
|
c2e5336f8ce9564a628e46ddfa8edfbf8419a6356ad27e1625e1ff3c5e7884ad | Shell | 99 | 5 | python -m venv deface
source deface/bin/activate
pip install dcmrtstruct2nii
pip install pydeface
|
0c6f8d29d0ee2f90f2906d4827a0e96b67a09e9f7323c15369c39cb3b9925c8c | Shell | 100 | 3 | #!/bin/bash
exec /usr/local/bin/pjsua --config-file /etc/jitsi/jibri/pjsua.config "$@" > /dev/null
|
2d3f709531c5bd855b6ce0175b2b8ecf996ad188d1f96158b04ccac328fb1ada | Shell | 100 | 8 | dir=$1
yourfilenames=`ls $dir/*.sh`
for entry in $yourfilenames
do
echo $entry
sbatch $entry
done |
e79a667eaacce4d45f791f06752920a5a8d821fcd3b3eda05f88395904a6a691 | Shell | 100 | 3 | #!/usr/bin/env sh
python eval.py --checkpoint ./ --net_config ./net_config --data_path ./cityscapes |
4e2d0977b8e46ff8e12056c2a2647509ee828241f616e3cb5c5129d0ae7d0ad7 | Shell | 105 | 1 | curl https://gdc.cancer.gov/files/public/file/PanCan-General_Open_GDC-Manifest_2.txt > data/manifest.tsv
|
66fb2f812e33eb7341897c222da8f1b2086d92ccf2976696078f2197d33221c5 | Shell | 108 | 5 | #!/usr/bin/bash
source /home/yeison/Development/venv/jupyter/bin/activate
jupyter lab --notebook-dir='.'
|
dcbb138247fc1aaa536187fb0f6397b2ba78fefed73904904703abc7a146ddf5 | Shell | 108 | 4 | #!/bin/bash
# set environment before execute simulation
export PATH=$PATH:/usr/local/nsp-server/src/sh/ |
f250b3c9f4bb6758ec987cb9fc1c93e021d13cb40d58f0b13798063942d18aa5 | Shell | 108 | 5 | #!/usr/bin/env bash
steps/scoring/score_kaldi_wer.sh "$@"
steps/scoring/score_kaldi_cer.sh --stage 2 "$@"
|
b6a688a149b35e1ea1f381f367095dd85cccdf385dfdc7a222a0d56c4ce518bc | Shell | 109 | 6 |
#!/usr/bin/env bash
steps/scoring/score_kaldi_wer.sh "$@"
steps/scoring/score_kaldi_cer.sh --stage 2 "$@"
|
8fadd43154f29b997e2a18b65c6e72c5e794dc425a529cf455eff1c8d1f53415 | Shell | 110 | 4 | #!/usr/bin/env bash
set -e
docker build -t bds/search-service .
docker run -p 8484:8080 -it bds/search-service |
33373669ef9536327281c95bbf80f5ac894ce249f39f10cbcb0ac5073d26fad0 | Shell | 111 | 7 | #!/bin/bash
i=1
while read p; do
./data_prepare_one.sh $p
i=$((i+1))
done < lists/masif_site_only.txt
|
0c96c84ccea80727b369de33cc950b551ed160e46a6bd272f9b138655fac779b | Shell | 114 | 6 | #!/usr/bin/env bash
autoreconf
./scripts/install-hts.sh
./scripts/install-hdf5.sh
./configure --enable-localhdf5
|
a0a04d838e611f52267f734137c98f7bcfd80206ba061032679c9306d2baa654 | Shell | 115 | 4 | #!/bin/bash
stdbuf -oL nohup jupyter-lab --no-browser --port=${1:-8888} > notebook.log 2>&1 &
echo "$!" > pid.log
|
38b1f678d89a42ac720ee8d6ed89fe3f498cb136655adfbe3c6258bb7fe966b8 | Shell | 116 | 5 | ml Java
ml OpenBLAS/0.2.18-GCC-5.4.0-2.26-LAPACK-3.6.1
ml R/3.6.2-foss-2015b-bare
Rscript --vanilla installcoloc.r
|
576f11a62698267957b14bd8c74f2b1ba8ac1c5552d555fce40c2a1988ebf886 | Shell | 116 | 5 | ml Java
ml OpenBLAS/0.2.18-GCC-5.4.0-2.26-LAPACK-3.6.1
ml R/3.5.1-foss-2015b-bare
Rscript --vanilla installcoloc.r
|
bddaea8254e8090d6389c60f26bbd3a74898f767e80f3aedbc9fbd2af5bcd438 | Shell | 116 | 5 | #!/bin/bash
echo "Bag file: $1"
python3 ./image_extractor.py --bag-file=$1 --extract-dir=$2 --extract-side-cameras |
2c8d8ab271eb75718cecdad3839652bdcdfe22d5d60124ebcd63a95ad5ed57e1 | Shell | 117 | 3 | #!/bin/bash
# Build dynamic library
python setup.py build_ext --inplace && echo "Build fast_coco_eval successfully."
|
fa857b85e43065320fea3cf5101b7511172822933500d33b35deb72236338e48 | Shell | 125 | 6 | #! /usr/bin/env bash
input=$1
output=$2
cat $input | tr -d "," | tr -d "'" | tr -d "[" | tr -d "]" | tr " " "\t" > $output
|
2da5ce44f67cf4b111829be45d94ea67355a907a5455d6fc40aa7b5ef7c9e54b | Shell | 129 | 7 | #!/bin/bash -l
#SBATCH -e %j.err
#SBATCH -o %j.out
#SBATCH --nodes=1
#SBATCH --gres=gpu:v100:1
#SBATCH --mem=32gb
#SBATCH --wait
|
d370f15aa9a996ab8373fc3e03a0fa01f06d4fd8c50129e0552b842db453097c | Shell | 131 | 9 | #for i in {1..1000}
for i in {10..1000}
do
if ! ((i % 16)); then
./generate_data.sh $i
else
./generate_data.sh $i &
fi
done
|
2120d581edf7ca5634b2ff007750ceee914931e3d2e024234be33ed1a88f956a | Shell | 133 | 1 | python3 distributed_arch_search/search.py --config-file configs/e2e_faster_rcnn_DETNAS_COCO_FPN_300M_search.yaml | tee -a search.log
|
68799bdb2f700c69af2cd408e9a3143ffd0d181045a6d1900a66cf7f9689e10f | Shell | 134 | 6 | #!/bin/bash
VERSION=latest
docker pull fredericklab/picachooser:${VERSION}
docker run -it fredericklab/picachooser:${VERSION} xyzzy
|
661461f2223078078598a408cb710770469b6d4e8af1c40ff95795e921dff041 | Shell | 136 | 5 | #!/usr/bin/env bash
steps/scoring/score_kaldi_wer.sh --max-lmwt 10 "$@"
steps/scoring/score_kaldi_cer.sh --max-lmwt 10 --stage 2 "$@"
|
3267423457d122936c0fafc43c48e71b5c7e06fcdba1d5ec6fa5957e6f27c68a | Shell | 138 | 8 | #!/usr/bin/env bash
set -e -o pipefail
set -x
steps/score_kaldi.sh "$@"
steps/scoring/score_kaldi_cer.sh --stage 2 "$@"
echo "$0: Done"
|
79916197c1d2789400c1b7a35168fa112b325f97e738adfddd957e89d5f746aa | Shell | 138 | 10 | #!/bin/bash
# NOTE if you have had a previous jupyter server open, restart your
# browser
ENVNAME=lab
source activate lab
jupyter lab
|
e0fc2868f07c0ad5a76dddfad705e52bfd0386020186a0b0b99ca6992932103f | Shell | 140 | 4 |
#!/bin/zsh
# conda activate array_tomography_tool
export PYTHONPATH="$PYTHONPATH:/Users/Lewis/cernbox/Personal/ArrayTomographyTool/backend" |
d8b7247cd14a672ffab57c461dd952719916b8480e4ae6aae7bc85eeed98cfbe | Shell | 142 | 4 | mkdir rita_preprocessed
cp -r /share/quonlab/workspaces/ruoxinli/multitask_/data/iPSC_neuronal/Yongin/* rita_preprocessed/
python rda2h5ad.R
|
b5bddbda9f45e4af58054b81a1bd9628f1a2ec339233ccf38c76bf76ea0e612d | Shell | 144 | 5 | #!/bin/bash
echo "Bag file: $1"
python3 ./image_extractor.py --extract-lidar --bag-file=/gpfs/space/projects/Bolt/bagfiles/$1 --extract-dir=$2 |
4a6d92c140b5ed38b4a7a1194d5b360bf2e17ca4b4c7894d71ddb9510423802e | Shell | 146 | 15 | #!/bin/bash
#
# Build the ITKJP2 library
#
set -o errexit
pushd $1 > /dev/null
bash build/configure.sh $2
cd $2
make ITKJP2
popd > /dev/null
|
e5be40905931b8225b83739203ca0bb9c2c34badf18dd26e964d3dbf067044a9 | Shell | 147 | 7 | #!/bin/bash
ruby param_ils_2_3_run.rb -numRun 0 -maxIts 1 -scenariofile hcbr_tuning/hcbr/scenario.txt -validN 0 -userunlog 1 -deterministic 1
|
b79bfb1469eae03fbd4374a8085819c053f0f9d980b8752b01b59f0b1fe6c4e8 | Shell | 153 | 7 | #!/bin/bash
#Script to run the genotype aligner
genotypeHarmonizerDir=`dirname $0`
java -Xmx1g -jar ${genotypeHarmonizerDir}/GenotypeHarmonizer.jar $* |
bf20d1d8bb7ce7c1ab57f096263154bea41356a32bd883c2b802c3f9df650e0e | Shell | 155 | 9 | #!/usr/bin/env bash
# Copyright 2014 Gaurav Kumar. Apache 2.0
if [ $# -gt 0 ]; then
sentence=$1
echo $sentence | sed 's:{^[}]*}:[noise]:'
fi
|
99bd4b86e7899cf8229f6da9523c968afce0cc43c4ae3055fbd4cceae6f16930 | Shell | 156 | 6 | #!/bin/bash
# show list of mod from s3
for f in `aws s3 ls s3://nsp-project/models/genesis/| awk '{print $2}'| sed 's/\///g' `; do echo "$f"; done
|
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