Saravanan666/pypi-org huggingface dataset:
Package: transcarread
transcar-readReads the output of theTRANSCAR1-D particle penetration ionosphere model.InstallPython>= 3.6 required:python -m pip install -e .Usagetranscar2aurora.py: Generate simulated auroral emissions based on Transcar excitation rates.transcar2isr.py: Generate simulated Incoherent Scatter Radar plasma paremters based on Transcar sim.transcar2excitationradar.py: plots excitation rates output by Transcar sim.PlotTranscarInput.py: plots interpolated transcar inputs (MSIS90).
Package: transcendental
Transcendental (π)Artificial Intelligence image recognition.Learn from input data and generate model, predict from previous generated modelDisclaimerThis is testing project purpose so it's currently in development and features
are minimal don't juge me :)FeaturesRecognize catsRecognize dogsInstall$pipinstalltranscendentalUsagetrans-predictThis command allow you to recognize an image passed in argument.Predict take exactly one argument who is the image to predict$trans-predict--helpusage:trans-predict[-h]image

Recognizecatanddogs

positionalarguments:imageanimagetoanalyzeoptionalarguments:-h,--helpshowthishelpmessageandexit$trans-predict./image.pngtrans-trainThis command allow you to train your IA.This command generate models automaticaly used by predict at launchCurrently in development!Requirespython 2.7+kerastensorflowPillowh5pyResourceshttps://becominghuman.ai/building-an-image-classifier-using-deep-learning-in-python-totally-from-a-beginners-perspective-be8dbaf22dd8https://drive.google.com/drive/folders/1XaFM8BJFligrqeQdE-_5Id0V_SubJAZehttps://machinelearningmastery.com/save-load-keras-deep-learning-models/https://www.quora.com/How-do-artificial-neural-networks-workhttp://torch.ch/blog/2015/11/13/gan.html
Package: transcli
transcliCommand line translation tool (CN <---> EN)Quick start in 1 seconduse pip to installtransclipipinstalltranscliuse command-line to runtransclitranscliappleresult:英文->中文
apple
结果:苹果
英[ˈæp(ə)l]美[ˈæpl]词义:
n.苹果
网络释义:
Apple,苹果公司
appleinc,苹果公司;美国苹果公司;苹果
BIGAPPLE,大苹果;纽约;大苹果城
Package: trans-client
trans clientIntroduction​	A tool based on scp for quickly transmitting data on a server. If youdo not want to enter the account password during the transmission process,please configure the ssh key in advance. This is a client-side script. Ifyou have set up your own LAN server as a backup server or data transferstation, you can install the trans-server script on the server side.Installpipinstalltrans-clientUsagehelptclhelpconfigtclconfiguser:     remote user
ip:       remote host ip
path:     the base path that you want to uselogintclloginssh user@ipTranssome examples:if you config like thisuser:jackip:192.168.3.2path:/home/jackget file/dir from remote servertcl --get /home/local/dir remote_dirortcl -g /home/local/dir remote_dirscp -r jack@192.168.3.2:/home/jcak/remote_dir /home/local/dirupload file/dir to remote servertcl --put /home/local/dir remote_dirortcl -p /home/local/dir remote_dirscp -r /home/local/dir jack@192.168.3.2:/home/jcak/remote_dircleanclean the ~/.trans.cfgtclcleanContact mezhewei@stu.xidian.edu.cnLicensetrans-client is provided under theMIT LICENSE
Package: transcoddir
# TranscoddirTranscoddir (“Transcode Dir”) will copy files from–input-dirto–output-dir, trancoding all videos to match–profile.  Video
files that result in transcoding errors are moved to–failed-dir.## Licensetranscoddir – transcode a collection of videos
Copyright (C) 2016 Lars Kellogg-Stedman <lars@oddbit.com>This program is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
GNU General Public License for more details.You should have received a copy of the GNU General Public License
along with this program.  If not, see <http://www.gnu.org/licenses/>.
Package: transcode
TransCoder PackageThis is a library implementation of the infamous Transcoder modelUnsupervised Translation of Programming LanguagesUsageInstallationCreate a virtual environment and activate it:virtualenvvenv--python=python3.8sourcevenv/bin/activateInstall librarypipinstalltranscodeIf yourlibclang.sois not in/usr/lib/llvm-10/lib/, replace the path tolibclang.soto the correct path inclang.cindex.Config.set_library_path('path_to_libclang')incode_tokenizer.pyTranslateJust provide the target and source langauges and the code, and we handle the rest :wink:translate--src_langpython--tgt_langjava<input_code.cppTrain or EvaluateTo train or evaluate the model, please refer to theoriginal repository.
Package: transcoding
Bijective transoding engine for standardized file in- and outputsLicensed under theMIT LicenseResourcesSource code:https://gitlab.mpcdf.mpg.de/dboe/transcodingDocumentation:https://transcoding.readthedocs.ioPypi:https://pypi.python.org/pypi/transcodingFeaturesThe following features should be highlighted:TODOMIT LicenseCopyright (c) 2021, Daniel BöckenhoffPermission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the “Software”), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.THE SOFTWARE IS PROVIDED “AS IS”, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
Package: transcov
[![Documentation Status](https://readthedocs.org/projects/transcov/badge/?version=latest)](https://transcov.readthedocs.io/en/latest/?badge=latest) [![Build Status](https://travis-ci.org/Hogfeldt/transcov.svg?branch=master)](https://travis-ci.org/Hogfeldt/transcov)
[![install with bioconda](https://img.shields.io/badge/install%20with-bioconda-brightgreen.svg?style=flat)](http://bioconda.github.io/recipes/transcov/README.html)# transcov
A bioinformatics software for mapping coverage around transcription start sitesFor information on how it works and how to install and use. Please refer to the documentation, which can be found on [Read The Docs](https://transcov.readthedocs.io/en/stable/index.html).
Package: transcr-esiviero
TranscrThe package helps to make the transcription process more automatic. For either an audiofile or a textfile it generates a translation in a language of choice, the transcription in IPA, the Lemma and POS-Tag of every word and exportes this informations in a csv-file. If the used file is an audio, it saves the recognized text in a textfile. In addition, it creates an audiofile with the translated speech.Before importing the package please install googletrans==3.1.0a.
Package: transcribe
verb- To convert a representation of language to another
representation.noun- Command line application to extract plain text from images
and audio files, written in Python.OCRTo extract the text from an image:$ transcribe ocr /path/to/image.jpgSpeechTo extract the text from an audio file:$ transcribe speech /path/to/audio.mp3InstallationGoogle Cloud setupTranscribe uses Google’s cloud services to perform the text extraction,
that means you have to setup a Google cloud project. Below is roughly
how I did that…I went toThe consoleSelectedProjectin the top left corner (to the right ofGoogle Cloud
Platform) and then create a new project, wait a bit for it to create
the project and switch to it (this took like 20 seconds while I was
trying to figure out what the heck was going on). Then activate the
vision and speech apis (I think storage is automatically activated) and
then select Credentials, and create an api key.More auth info
here.Turns out I also needed tocreate a service json
file.
To do this I needed to go tothe dashboard for the
projectand then clickCreate credentialsand chooseService account
key.Then add this to your.bash_profileor something similar:export GOOGLE_APPLICATION_CREDENTIALS="/path/to/keyfile.json"ffmpegIf you’re on a Mac and you use Homebrew, you can install ffmpeg like:$ brew install --with-opus ffmpegIf you’re not on a Mac or don’t use Homebrew you’re on your own.TranscribeInstall using pip:$ pip install transcribeor the latest and greatest:$ pip install "git+https://github.com/Jaymon/transcribe#egg=transcribe"
Package: transcribe-compare
Utility to compare output transcript to referenceUsesUkkonen algorithmto efficiently computeLeveshtein distanceand character error rate (CER).Additionally it can output alignment information.UsageUsage: transcribe-compare [OPTIONS]

  Transcription compare tool provided by VoiceGain

Options:
  -r, --reference TEXT            source string
  -o, --output TEXT               target string
  -R, --reference_file FILENAME   source file path
  -O, --output_file FILENAME      target file path
  -a, --alignment                 Do you want to see the alignment result?
                                  True/False
  -e, --error_type [CER|WER]
  -j, --output_format [JSON|TABLE]
  -l, --to_lower                  Do you want to lower all the words?
                                  True/False
  -p, --remove_punctuation        Do you want to remove all the punctuation?
                                  True/False
  -P, --to_save_plot              Do you want to see the windows? True/False
  -s, --to_edit_step INTEGER      Please enter the step
  -w, --to_edit_width INTEGER     Please enter the width
  --help                          Show this message and exit.DependenciesclickinflectrenltkmetaphonematplotlibSample Commandspython transcribe-compare -R sample_data/The_Princess_and_the_Pea-reference.txt -O sample_data/The_Princess_and_the_Pea-output-1.txt -e CERHTML OutputRelated codeThere is a script available that usingtranscribe-compareto compare results from Voicegaing and Google recognizers. You can find it here:https://github.com/voicegain/platform/tree/master/utility-scripts/test-transcribeAcknowledgementsContributed byVoiceGain.VoiceGain provides Deep-Neural-Network-based Speech-to-Text (ASR) available in Cloud and also as an Edge Deployment.
Accessible via RESTful Web API or MRCP v2 interface.
Is suitable both for continuous large-vocabulary transcription (real-time or off-line) and for recognition using context-free grammars (e.g. GRXML).
In addition to this VoiceGain platform provides API-driven method to modify models used in speech-to-text. It is possible to modify language model, pronunciation model, and the acoustic DNN model.LicenseMIT Â© VoiceGain
Package: transcriber-wrapper
Transcriber WrapperInspired byPhonemizer, this a simpler version focused in transcription applications that work with IPA (International Phonetic Alphabet). This works like a wrapper which is responsible to call a back-end application, let's sayespeak-ng. It adds some features on top of it likewith stressoption.Supported back-endseSpeakNGFestival Speech Synthesis SystemUsageYou need to install espeak-ng and festival on your operational system. SeeDockerfile.devas an example. After that, you can create a transcriber and then use it in your logic:fromtypingimportListimporttranscriber_wrapper# The standard language is "en-us"# The standard back-end is "espeak"transcriber_en_us=transcriber_wrapper.build_transcriber()defdo_the_thing(words:List[str])->List[str]:returntranscriber_en_us.transcribe(words)Don't forget to seetest_builder.pyto get insights how to use this project!DevelopmentExecuting commands directly on the binariesAfter building the remote interpreter service, just enter in it:docker-compose run remote-interpreter shYou must be at/usr/bin/. Then try one of these below.eSpeakNGCheck out these links:Supported LanguagesCommand Line User GuideSome sample commands:espeak-ng"Hello my friend, stay awhile and listen!"-ven-us-x--ipa-q--sep=_
espeak-ng"Curiosity"-ven-us-x--ipa-q--sep=" "espeak-ng"If you will not bow before a sultan, then you will cower before a sorcerer!"-ven-us-x--ipa-q
espeak-ng--voicesFestivalYou can executefestival --helpto get a list of what you can do through what the festival developers call "Shell API" (see more detailshere).You can use the scriptfestival.lispto get the computation from a given word, some samples:WORD=somethingfestival-b/app/scripts/festival.lispWORD=theoreticallyfestival-b/app/scripts/festival.lispWhat you can do is just typefestivaland then start its command line prompt. From there you can do the following for example:# It will list voices availablefestival>(voice.list)# Default voicefestival>voice_default# This won't work with our Docker image, but if you are on your ubuntu/debian machine, it may will(SayText"Can someone refactor festival to be writen in Python with a friendly API?")Updating pipenv dependenciesIf you update Pipfile, you can issue the following command to refresh your lock file:docker-compose run remote-interpreter pipenv updateIf you'd like to add a new package, let's say a production one:docker-compose run remote-interpreter pipenv install pyparsingDon't forget to update your service!docker-compose build remote-interpreter
Package: transcription-burato
transcription-buratotranscription
The package transcription-burato is used to:create RNA from DNAWhat is a transcription?During the transcription process, the information encoded in the DNA sequence of one or more genes, adenine (A), cytosine (C), guanine (G) and thymine (T), is transcribed on an RNA strand, also called RNA transcription. The resulting single-stranded RNA molecule, composed of ribonucleotides containing the bases uracil (U),guanine (G), cytosine (C) and adenine (A)fontelinkInstallationUse the package managerpipto install transcription-buratopipinstalltranscription-buratoUsagefromtranscription_buratoimportio,processgen=io.read(path_to_file)result_gen=process.gen_from(gen)io.plot(result_gen)Test withyou can find a genome to test the package atncbior find byorganismAuthorOtavio Burato de OliveiraLicenseMITProject -> Making package creation uncomplicatedInspired by a project bydioconclusion716EEBD3
Package: transcriptor
TranscriptorA transcription service wrapper that makes it easier to work with transcriptions.Transcription services provide a cost-effective way to add accessibility to
your audio and video, but they are often a challenge to integrate into your system.Transcriptor aims to make working with transcriptions easier.Transcriptor looks at transcription objects as a class.Features:An object-oriented approach to Transcriptions, Markers, and SpeakersNondestructive manipulation of text and references.InstallationInstall transcriptor using pip.pip install transcriptorQuickstartTranscriptor currently supports transcription upload and
creating aREADABLE Transcription Job Objectfrom their output.Importing Transcriptions from AWS Transcribefromtranscriptorimportamazon,AmazonJobjob=AmazonJob(filepath='<filepath>',bucket='<bucket_name>',)job.start()# After Some Timejob.status()# If it says COMPLETEDjob.build()Alternatively, you can load the object via theTranscriptFileUri(AmazonJob.from_uri()) or the JSON object directly (AmazonJob.from_json()).A loaded Transcription Job from AWS Transcribe will give you access toMarkers,Speakers(if included), the providedAlternatives. You also have the original job
object that you can interact with.Importing from an SubRip Subtitle (SRT)Text Transcriptions from the Web can be very unique in style, but the most
common format is that of at srt file.You can load an srt file into transcriptor and use that to interact with the
individual markers.fromtranscriptorimportJobamazon.from_srt('FILENAME.srt')A loaded Transcription Job from srt files will makeMarkers.These markers are given in order as a list. This gives you the ability to
modify a single Marker or iterate your changes across a range or all of the
Marker objects.Supported ServicesAmazon Transcribe (boto3)Planned Support ForGoogle Speech-To-TextSponsorsThis and much of the work that I do is made possible by those that sponsor me
on github.Sponsors at the $20/month and higher LevelBrian DouglasAnthony ShawCarol WillingThank you to them and all of those that continue to support this project!Sponsor this Project
Package: transcriptorthology
Inferring clusters of orthologous and paralogous transcriptsAlgorithm to infer clusters of isoorthologous transcripts using gene-level homology relationships and a Reciprocal Best Hits approachAbout The ProjectOverviewA graph-based method to infer isoorthology & recent paralogy relations in a set of homologous transcriptsRequirementspython3 (at leat python 3.6)NetworkXPandasNumpyETE toolkitAbout the packageinstall the packagepip3 install transcriptorthologyimport package and use the main functionfrom transcriptorthology.transcriptOrthology import inferring_transcripts_isoorthology


if __name__ == '__main__':
  gtot_path = './execution/mapping_gene_to_transcripts/ENSGT00390000003967.fasta'
  gt_path = './execution/NHX_trees/ENSGT00390000003967.nhx'
  lower_bound = 0.7
  transcripts_msa_path = './execution/transcripts_alignments/ENSGT00390000003967.alg'
  tsm_value = 1
  constraint = 1
  output_folder = './execution/output_folder'inferring_transcripts_isoorthology(transcripts_msa_path,gtot_path,gt_path,tsm_value,lower_bound,constraint,output_folder)Copyright © 2023 CoBIUS LAB
Package: transcv
transcvtranscv creates vision transformers for visual recognition which can be pre-trained using self-supervised learningAcknowledgementRoss Wightman's repository for vision transformerHugging FaceDETR repositoryAn Image is Worth 16x16 Words: Transformers for Image Recognition at ScalefastainbdevInstallpip install transcvAlong with transcv, we also need fastai and nbdev. So, it is recommended to use :pip install fastai nbdev transcv -q --upgradeHow to useAn example for using the VisRecTrans class for getting a custom ViT model :fromtranscv.visrectransimportVisRecTransvis_rec_ob=VisRecTrans('vit_small_patch16_224',10,False)model=vis_rec_ob.create_model()vis_rec_ob.initialize(model)embed_callback=vis_rec_ob.get_callback()Now, themodel, along with theembed_callback, can be used with theLearnerclass, offastai, and can be fine-tuned on any image classification dataset.An example for using the SwinT class for building a Swin transformer model :fromtranscv.swinimportSwinTswint_ob=SwinT('swin_base_patch4_window7_224',pretrained=False,num_classes=10)swin_model=swint_ob.get_model()assertisinstance(swin_model,nn.Sequential)Now, theswin_modelcan be used with theLearnerclass, offastai, and can be fine-tuned on any dataset for visual recognition task.For a detailed description of the classes and methods, please refer to thedocumentation.
Package: transdate
Transdate provides alunardateclass, which interface is compatible to a built-indatetime.datebut supports additional methods for the Asian lunisolar calendar.Interface summary:lunardate.fromsolardate(date)class method andtosolardate()method converts a solar date to a lunar date and vice versa.lunaryear,lunarmonth,lunardayproperties are direct analogues toyear,month,day.lunerleapproperty returns True when the month is intercalary. For example, April 2012 was followed byintercalaryApril 2012, and then May 2012. Therefore this additional month will be marked vialunarleapproperty.strftimemethod is extended to support%LY/%LC/%Ly/%Lm/%Ld/%Le/%Ljsequences, which are analogous to%Y/%C/%y/%m/%d/%e/%jsequences respectively.The dataset is derived fromKorea Astronomy and Space Science Institute, and covers from January 1881 to December 2050 (in the lunar date).Warning:Various Asian countries use slightly different rules to determine intercalary months, however, so these rules may diverge from each other. The first known date affected by this divergence is July 2033, and thereafter only the Korean rule applies.
Package: transdb
Overview========Django's field that stores labels in more than one language in database.Just working on newforms-admin branch.Installing and using====================Installation Download, unpack and copy files to ${PYTHON_PATH}/site-packages/transdb (or anywhere else if you know what you're doing)Create your models:from transdb import TransCharField, TransTextField[...]class MyModel(models.Model):[...]my_char_field = TransCharField(max_length=32)my_text_field = TransTextField()If you need to use in models in a more advanced way:from transdb import TransDbFieldfrom django.conf import settingsfrom django.utils.translation import get_languagefrom django.template.defaultfilters import slugify[...]class MyModel(models.Model):[...]my_char_field = TransCharField(max_length=32)my_text_field = TransTextField()slug_field = models.SlugField(editable=False)def __unicode__(self):return self.my_char_fielddef save(self):self.slug_field = slugify(self.my_char_field.get_in_language(settings.LANGUAGE_CODE))super(MyModel, self).save()[...]Use as any other field in templates:[...]<p>{{ object.my_field }}</p>[...]And that's all, enjoy!Serialization==============Due to technical reasons, serialization on models with TransDb fields has some specific restrictions.Django comes with two serialization formats, xml and json.TransDb requires two diferent methods when serializing, one that serializes information for all languages (for example for saving data as fixture). Other method should just return the current language (serialization for ajax processing).Probably will change in the future, but now TransDb applies a method depending on the format, soUse xml format for including all languages in serialization objects (and use TransDb serializer, see below).User json format for returning just the current language in serialization objects.For using TransDb serializer add next lines to your settings.py file:SERIALIZATION_MODULES = {'xml': 'transdb.xml_serializer',}Migration from non-translatable fields (and previous versions of TransDb)========================================================================There is a wiki page MigrationProcedure http://code.google.com/p/transdb/wiki/MigrationProcedure  that covers this subject.Techincal information=====================Internally data is stored in database as a string in dictionary format, for example:u'{u'en': u'This is english', u'ca': u'Other lang .. '}'Field uses a subclass of unicode class, adding a raw_data attribute to store the string with all languages, and implementing the get_in_language(language) method to allow access to a diferent language (diferent from the user's current language).Known issues===================See the list in http://code.google.com/p/transdb/issues/list