Saravanan666/pypi-org huggingface dataset:
Package: audstream
AudStream - 0.0.5What is AudStream?AudStream is a simple audio streaming server written in Python.FeaturesSimple- AudStream is a simple audio streaming server written in Python. It is designed to be easy to use and easy to understand.Lightweight- AudStream is a lightweight audio streaming server written in Python. It is designed to be easy to use and easy to understand.Cross-platform- AudStream is a cross-platform audio streaming server written in Python. It is designed to be easy to use and easy to understand.Open source- AudStream is an open source audio streaming server written in Python. It is designed to be easy to use and easy to understand.Free- AudStream is a free audio streaming server written in Python. It is designed to be easy to use and easy to understand.InstallationRequirementsPython 3.6 or higherMacOS/Linuxpip3installaudstreamWindowspipinstallaudstreamDeveloper Installationpipinstallgit+https://github.com/ceeq9717/audstream.gitExample UsagefromaudstreamimportAudStreameraud_streamer=AudStreamer(filename="xyz.mp3")aud_streamer.start_recording(1,384000,5)LinksDocumentationPyPIGitHub
Package: audtekapi
Unofficial API helper forAudioteka- audiobooks service:https://audioteka.com/This is set of functions to get contents of your personal bookshelf atAudioteka, including book’s chapters downloading.Main reason for creating it, is to use it in my plugin forMopidy.This is major rework after Audioteka changes its API.To be continued…InstallationPython 3.7 or higher is required.Install by running:pip install audtekapiUsage - DOCUMENTATION TODOExamples.generate device id:bash> python
Python 3.9.1
>>> import uuid
>>> str(uuid.uuid4())
'mydevice-id00-aaaa-bbbb-ccddeeddffaa'LicenseApache License Version 2.0
Package: audtorch
Deep learning withPyTorchand audio.Have a look at theinstallationandusageinstructions as a starting point.If you are interested inPyTorchand audio you should also check out the
efforts to integrate more audio directly intoPyTorch:pytorch/audiokeunwoochoi/torchaudio-contribChangelogAll notable changes to this project will be documented in this file.The format is based onKeep a Changelog,
and this project adheres toSemantic Versioning.Version 0.6.4 (2020-11-02)Fixed: link to documentation on Github pages in Python packageVersion 0.6.3 (2020-10-30)Added: use copy-button Sphinx pluginAdded: links to usage and installation to READMEChanged: use sphinx-audeering-themeChanged: update all documentation links to Github pagesVersion 0.6.2 (2020-10-30)Fixed: install missing pandoc for publishing documentationVersion 0.6.1 (2020-10-30)Fixed: only install doc dependency for automatic releaseVersion 0.6.0 (2020-10-30)Added: code coverageAdded: automatic publishing using Github ActionsChanged: use Github Actions for testingChanged: host documentation as Github pagesFixed: use newest librosa versionVersion 0.5.2 (2020-03-03)Fixed: disable automatic execution of notebookVersion 0.5.1 (2020-03-03)Fixed: execute jupyter notebook on readthedocsFixed: release date of 5.0.0 in CHANGELOGVersion 0.5.0 (2020-03-03)Added:RandomConvolutionalMixtransformAdded:EmoDBdata setAdded: introduction tutorialAdded: Python 3.8 supportAdded:column_end+column_starttoCsvDatasetandPandasDatasetAdded: random convolutional mix transformChanged: default filename column in data sets is nowfileChanged: force keyword only argumentsFixed:stftfunctional exampleFixed: import oflibrosaRemoved: Python 3.5 supportVersion 0.4.2 (2019-11-04)Fixed: critical bug of missing files in wheel package (#60)Version 0.4.1 (2019-10-25)Fixed: default axis values for Masking transforms (#59)Version 0.4.0 (2019-10-21)Added: masking transforms in time and frequency domainVersion 0.3.2 (2019-10-04)Fixed: long description insetup.cfgVersion 0.3.1 (2019-10-04)Changed: define package insetup.cfgVersion 0.3.0 (2019-09-13)Added:datasets.SpeechCommands(#49)Removed:LogSpectrogram(#52)Version 0.2.1 (2019-08-01)Changed: Remove os.system call for moving files (#43)Fixed: Remove broken logos from issue templates (#31)Fixed: WrongSpectrogramoutput shape in documentation (#40)Fixed: Broken data set loading for relative paths (#33)Version 0.2.0 (2019-06-28)Added:Standardize,Log(#29)Changed: Switch toKeep a Changelogformat (#34)Deprecated:LogSpectrogram(#29)Fixed:normalizeaxis (#28)Version 0.1.1 (2019-05-23)Fixed: Broken API documentation on readthedocsVersion 0.1.0 (2019-05-22)Added: Public release
Package: audups
audupsCommand line tool for finding similar audio files using theirAcoustID fingerprintsRequirementschromaprint(for fingerprint calculation)ffmpeg(to read audio files)Note that this project is only intended to be used on Linux, support for other operating systems will not be provided.Usageaudups /path/to/musicCompare the files in/path/to/musicwith themselves, printing similar ones.You can set the threshold at which matches are printed using--threshold x, wherexis a number between 0.0 and 1.0.audups MUSIC1 MUSIC2Compares the files inMUSIC1to the files inMUSIC2audups --a MUSIC1 MUSIC2 --b MUSIC3Compares the files inMUSIC1andMUSIC2to the files inMUSIC3(Note that files specified in --a are not compared with other files specified in --a)
Package: audyo
=====
audyoPython audio managerDescriptionSimple i/o package for "audio things". You can easily record a phrase or play audio files.Noteimport audyo.microphone.Microphonerecorder = new Microphone(out_file='file.wav')recorder.record_to_file() # this will wait until the recording is completeimport audyo.speaker.SpeakerSpeaker.play('file.wav') # this will play audio fileAUDYO-CLIMicrophone object can record until silence is detected.
This package provide two terminal commands:audyo-rec: This command will record until silence to default "audyo.wav" file. (output parameter will be released soon)audyo-play: This command will play audio file passed by parameter (will be released soon)
Package: aug
AUG-alphaAUG is an open source augmentation library based on OpenCV. The repository contains a set of image transformations for data augmentation and artificial data synthesis.Major features:supports operations on masks and points,unified interface - most magnitude coefficients are in the range [0, 1],optimized operations,reusable blocks of operations, e.g. transfer learning based on augmentation parameters (AutoAugment)unique operations compared to imgaug/albumentations,Python 3, OpenCV 4.1.
Package: augaudio
augaudioThis package contains multiple simple audio data augmentations in order to increase/test the robustness of neural networks.OriginalGaussian NoisePitch ShiftTime StretchCrushInstallationYou can install this package viapip install augaudioUsageExample usage:importlibrosaimportaugaudioimportsoundfiley,sr=librosa.load('audio.wav')augmented=augaudio.augment(y,1,4)soundfile.write('augmented.wav',augmented,sr)Directly access one of the augmentations:...augmented=augaudio.GaussianNoise(y,4)...Chain augmentations together:...augmented=augaudio.GaussianNoise(augaudio.TimeStretch(y,2),4)...Iterate over augmentations:...foraugmentationinrange(4):forintensityinrange(1,10):augmented=augaudio.augment(y,augmentation,intensity)soundfile.write(str(augmentation)+'-'+str(intensity)+'.wav',augmented,sr)...Command Line Usage:Single File:augaudio /path/to/audio.wav 0 5Complete Folder:augaudio /path/to/input 0 5 /path/to/outputAugmentationsAugmentationindexDescriptionnegative intensityAugmentations-2Applies /multiple/ random augmentationsavailableRandom-1Applies random augmentationavailableGaussianNoise0Applies gaussian noise to the audio datan/aPitchShift1Shifts the pitch of the audio dataavailableTimeStretch2Stretches the time of the audio datan/aCrush3Crushes details by applying and reversing a pitch shiftavailableCopyright NoticeCopyright 2020 Bastian Schwickert

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

Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
Package: augbuilder
AugBuilderA No-code solution to create the images transformation pipelin.Installed as a pip package.Runs in a browser.UsesAlbumentationslibrary to apply transformations.Benchmarksthe pipeline.Generates a YAML config and a tiny chunk of python code tointegrate with PyTorchcode.Powered byAlbumentationsandStreamlit.WIPWork still in progress.
We'll appreciate any feedback from the community: bug-report, feature-request, pull-request.You can leaveanonimous feedback here.InstallationYou need python 3.6+ andpipto install the app.pipinstallaugbuilderUsageRun the appRunaugbuilderfrom the terminal.After a few seconds the browser will open the pagelocalhost:8501.To stop the application press thectrl+ccombination in the terminal.Step by step guideWatch this demo video of usage.Drop an image to the upload area.Use dropdown on left side to select transformations.Configure transformations below the list of dropdowns.Random results are shown in the main area.To regenerate results click "Refresh images" button.Click "Download config" to get the yaml config and a python integration script.How to use ONE-OFSelect oneof in list if you want to add this into you transformation list.
Then you can add different transformations in it.
To close oneof select StopOneOf.
Please, don't select THE SAME transformation, it can caused some errors which will be removed later.Pipeline config exampleRandomResizedCrop:height:299width:299scale:(0.24, 1.0)ratio:(0.75, 1.3333333333333333)interpolation:0Flip:Transpose:OneOf:MotionBlur:{'blur_limit':(3,53)}Blur:{'blur_limit':(3,22)}ShiftScaleRotate:shift_limit:(-0.06, 0.06)scale_limit:(-0.1, 0.1)rotate_limit:(-90, 90)interpolation:0border_mode:3value:[0,0,0]HueSaturationValue:hue_shift_limit:(-20, 20)sat_shift_limit:(-30, 30)val_shift_limit:(-20, 20)
Package: augeias
Augeias. Stores your files.Augeias is a small, RESTful, webapplication that allows you to store digital
objects in an object store. While it allows you to communicate with you objects
as a service, it also decouples the storage implementation from the interface.0.7.0 (22-12-2020)Py3 migratie + library update (#90)0.6.0 (09-06-2020)Lijst met vertaling van id naar bestandsnaam meesturen download zip (#80)0.5.0 (28-11-2018)Download zip of entire container (#48)Update list of supported python version (#51)0.4.1 (26-10-2017)pairtree update to 0.8.10.4.0 (24-10-2017)Added python 3 compatibility0.3.1 (12-10-2017)Fix pairtree dependency==0.7.1-T0.3.0 (22-08-2017)Add ‘copy’ functionality to update_object endpoint. In this case the view accepts the (augeias) location of the file object (host url, collection_key, container_key and object_key) and copies it to a new location on the same augeias instance. (#17)Add Endpoint to create object and key. (#20)Add Endpoint to retrieve meta data (mimetype (#13), size, time last modification) from object.0.2.0 (07-11-2015)Add a scaffold for generating an Augeias instance. Use by runningpcreate -s
augeias. (#6)Update docs with information about making a HEAD request for an object’s
metdata. (#9)Added permission hooks so it’s possible for an Augeias instance to add
authentication. (#2)Removed some OE specific configuration and made it more generic. (#8)Added some installation instructions.0.1.0 (20-10-2015)Initial versionHas as single, filesystem based, store.
Package: auger-oca
This is the readme file for auger-OCAContact person: Bruno Tenoriob.nunes.bruno@gmail.comUsepip install auger-ocato install the auger-oca packages.OCAstands for One-Center Approximation. It is a simple way to get Auger intensities bypassing the
calculation of continuum wave function.Auger-OCA is a collection of python scripts (programs) to post-process a collection
of 2-el reduced transition density matrices (also called Auger densities) generated
by theRASSImodule of OpenMolcas. It also requires the$Project.rassi.h5file in the background.The keywordTDYSmust be used together withDYSONin yourRASSIinput calculation (see example below
for C 1s edge).&RASSI
 Nrof JobIphs =  5 all
 CIprint
 Ejob
 TDYS
 1
 C 1s
 DysonCheckauger_examples/folder for complete examples.It simply runs as:for RAES (resonant Auger):python3 $MOLCAS/Tools/AugerOca/auger_main.py -d $WorkDir --raes --spec &If non-resonant Auger (AES) of singlet final states:python3 $MOLCAS/Tools/AugerOca/auger_main.py -d $WorkDir --aes --s --spec &If non-resonant Auger (AES) of triplet final states:python3 $MOLCAS/Tools/AugerOca/auger_main.py -d $WorkDir --aes --t --spec &++ See alsopython3 $MOLCAS/Tools/AugerOca/auger_main.py -hfor more info and usage.+Important:auger_main.pyreads a file$project.rassi.h5in the background. You must executeauger_main.pyfrom any directory where you have your$project.rassi.h5file (either$CurrDiror$WorkDirwork).auger_main.pywill create a directoryauger_outputs/containing a collection of[Auger_OCA.r2TM_XXX_YYY_ZZZ.out,...]files. The binding energy and Auger intensities (plus other info)
are writen on each of these files.--specis optional. One can also use a bash script (oca.spectrum.shonauger_testfolder) to collect the Auger {energy,intensity}
from those[Auger_OCA.r2TM_XXX_YYY_ZZZ.out,...]files -> in a filespectrum.out.Again, don't forget to install the Auger OCA packages withpip install auger-oca
Package: aughra
AughraAughrais a planned root directory for theVivid Codeframework.
Aughra is intended to deploy information about publicVivid Storesto allow an automatic configuration ofVivid Nodes.Aughra is open source, based on thePythonprogramming language and actively developed as part of theVivid Codeframework atFrootlab.Current Development StatusAughra currently is in earlyPlanningstage. This means, that the projects
directives, requirements and goals are mostly not yet settled or implemented.InstallationComprehensive information and installation support is provided within theonline manual. If you already have a
Python environment configured on your computer, you can install the latest
distributed version by using pip:$ pip install aughraDocumentationThe latest Aughra documentation is available as anonline
manualand for download in the
formatsPDF,EPUBandHTML.ContributeContributors are very welcome! Feel free to report bugs and feature requests to
theissue trackerprovided by
GitHub. Currently, as the Frootlab Developers team still is growing, we do not
provide any Contribution Guide Lines to collaboration partners. However, if you
are interested to join the team, we would be glad, to receive an informalapplication.LicenseAughra is open source and available free for any use under theGPLv3license:Â© 2019 Frootlab Developers:
  Patrick Michl <patrick.michl@frootlab.org>
Package: auglib
auglibis an augmentation library,
which providestransformsto modify audiosignalsandfiles.importauglibtransform=auglib.transform.PinkNoise()augment=auglib.Augment(transform)augment(signal,sampling_rate)auglibcan further augment wholedatasetswhile caching the results.
It can be easily extended
withexternaloruser definedaugmentations.Have a look at theinstallationinstructions
and listen toexamples.
Package: auglm-chatbots
ChatbotsThis is a package which allows you to make conversational chatbots based on:language model (like GPT3 in my case)prompt giving the language model description how to operateexternal search system (to search either through the intenet, setting-specific database and really early conversation history)You see code example inulleses.py--------------------------------------------------------------------------------
Coorier: Hey, are you listening?
Ulleses: Yes, I'm listening. What is it?
--------------------------------------------------------------------------------
Coorier: Why are you going to destroy the Legion? NCR is understandable, but Legion - aren't you their spy, at last?
Ulleses: I was, yes. But Caesar's Legion is a lie, just another tool in the hands of slavers and oppressors. Not something worth keeping alive.
--------------------------------------------------------------------------------
Coorier: Than why were you working with them? NCR and, at least, New Vegas were always available as well.
Ulleses: I didn't choose Caesar's Legion. They made their choice for me. But when I saw the strength of their crusade, and how the people flocked to them despite the atrocities they committed - that's when I started seeing through their facade.
--------------------------------------------------------------------------------
Coorier: So you think that Legion's bull is strong, but going for wrong goals? What about NCR's bear?   
Ulleses: NCR is strong, for sure. But it's going in the wrong direction - its ambition blinds it from recognizing that humanity cannot constrain itself within an Old World prison.
--------------------------------------------------------------------------------
Coorier: And what do you think might be a better option?
Ulleses: I think, the only way to truly rebuild is to start over. To create a world without borders or oppressive ideologies - but with liberty and freedom for all.TODOFix code style issues
Package: augly-jp
AugLy-jpData Augmentation forJapanese Texton AugLyAugmenterbase_text = "あらゆる現実をすべて自分のほうへねじ曲げたのだ"AugmenterAugmentedDescriptionSynonymAugmenterあらゆる現実をすべて自身のほうへねじ曲げたのだSubstitute similar word according toSudachi synonymWordEmbsAugmenterあらゆる現実をすべて関心のほうへねじ曲げたのだLeverage word2vec, GloVe or fasttext embeddings to apply augmentationFillMaskAugmenterつまり現実を、未来な未来まで変えたいんだUsing masked language model to generate textBackTranslationAugmenterそして、ほかの人たちをそれぞれの道に安置しておられたLeverage two translation models for augmentationPrerequisitesSoftwareInstall CommandPython 3.8.11pyenv install 3.8.11Poetry 1.1.*curl -sSL https://raw.githubusercontent.com/python-poetry/poetry/master/get-poetry.py | pythonGet StartedInstallationpipinstallaugly-jpOr clone this repository:gitclonehttps://github.com/chck/AugLy-jp.git
poetryinstallTest with reformatpoetryruntasktestReformatpoetryruntaskfmtLintpoetryruntasklintInspiredhttps://github.com/facebookresearch/AugLyhttps://github.com/makcedward/nlpaughttps://github.com/QData/TextAttackLicenseThis software includes the work that is distributed in the Apache License 2.0[1].
Package: augmax
AugmaxAugmax is an image data augmentation framework supporting efficiently-composable transformations
with support for JAX function transformations.
Its strengths are efficient execution of complex augmentation pipelines and batched data augmentation on the GPU/TPU via the use ofjax.jitandjax.vmap.In existing data augmentation frameworks,
each transformation is executed separately,
leading to many unnecessary memory reads and writes that could be avoided.
In contrast, Augmax tries its best to fuse transformations together,
so that these data-intensive operations are be minimized.Getting StartedAugmax aims to implement an API similar to that ofAlbumentations.
An augmentation pipeline is defined as a sequence of transformations,
which are then randomly applied to the input images.importjaximportaugmaxtransform=augmax.Chain(augmax.RandomCrop(256,256),augmax.HorizontalFlip(),augmax.Rotate(),)image=...rng=jax.random.PRNGKey(27)transformed_image=transform(rng,image)Batch-wise Augmentation on the GPULeveraging the JAX infrastructure,
it is possible to greatly accelerate data augmentation by using Just-in-Time compilation (jax.jit),
which can execute the code on the GPU, as well as batched augmentation (jax.vmap).Augmenting a single image on the GPUtransformed_image=jax.jit(transform)(rng,image)Augmenting an entire batch of images on the GPUsub_rngs=jax.random.split(rng,images.shape[0])transformed_images=jax.jit(jax.vmap(transform))(sub_rngs,images)
Package: augmentation-lib
Image augmentation libraryThis image augmentation library can be used to crop, flip, blur, sharpen, mix channels, overlay images.
The main idea is to use only numpy library to perform these tasks.
Augmented images can be used for Machine Learning projectsGetting itTo download augmentation_lib, either fork this github repo or simply use Pypi via pip.$ pip install augmentation-libFeaturesThis library performs different types of augmentation.Crops:center_crop_pxtakes an image, width and height in pixels and returns center cropped image.center_crop_percentstakes an image and size in percents (0 - 1) and returns center cropped image.crop_pxtakes an image starting point for cropping, width and height in pixels and returns cropped image.crop_percentstakes an image starting point (height_coordinate, width_coordinate) in px, and size (height, width) in percents for cropping.random_crop_pxtakes a cropping size in pixels and randomly crops an image.random_crop_percentstakes a cropping size in percents (0 - 1) and randomly crops an image.Flips:flip_horizontaltakes an image and flips it horizontally.flip_verticaltakes an image and flips it vertically.Padding:zero_padtakes an image and pads it with zeros by specified number of pixels.Convolution:conv_one_stepperforms convolution for specified slice.convolution_one_layerperforms one image layer convolution.full_convolutionperforms image convolution by specified kernel.Dropouts:dropout_randomperforms random dropout of image pixels.dropoutperforms dropout of image pixels by specified intensity in percents (0 - 1).Other augmentation:shuffleperforms shuffle of image layers by specified order.jitterperforms color jitter of one specified or random image layer. One of the color channels of the image is modified adding or subtracting a random and bounded value.opacitymakes an image transparent.opacity_objectmakes an image background transparent, works better with object images.overlay2_imagesoverlay 2 images with applied transparency.resize_npresize image using numpy and Nearest Neighbor Interpolation.ShowcaseMore info about using this library you can find in:https://github.com/laume/augmentation_lib/blob/master/augmentation_lib/showcase.ipynb
Package: augmentaudio
augmentaudioThis package contains multiple simple audio data augmentations in order to increase/test the robustness of neural networks.OriginalGaussian NoisePitch ShiftTime StretchCrushInstallationYou can install this package viapip install augmentaudioUsageExample usage:importlibrosaimportaugaudioimportsoundfiley,sr=librosa.load('audio.wav')augmented=augaudio.augment(y,1,4)soundfile.write('augmented.wav',augmented,sr)Directly access one of the augmentations:...augmented=augaudio.GaussianNoise(y,4)...Chain augmentations together:...augmented=augaudio.GaussianNoise(augaudio.TimeStretch(y,2),4)...Iterate over augmentations:...foraugmentationinrange(4):forintensityinrange(1,10):augmented=augaudio.augment(y,augmentation,intensity)soundfile.write(str(augmentation)+'-'+str(intensity)+'.wav',augmented,sr)...Command Line Usage:Single File:augaudio /path/to/audio.wav 0 5Complete Folder:augaudio /path/to/input 0 5 /path/to/outputAugmentationsAugmentationindexDescriptionnegative intensityAugmentations-2Applies /multiple/ random augmentationsavailableRandom-1Applies random augmentationavailableGaussianNoise0Applies gaussian noise to the audio datan/aPitchShift1Shifts the pitch of the audio dataavailableTimeStretch2Stretches the time of the audio datan/aCrush3Crushes details by applying and reversing a pitch shiftavailableCopyright NoticeCopyright 2020 Bastian Schwickert

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

Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.