Saravanan666/pypi-org huggingface dataset:
Package: aics-tf-registration
aics_tf_registrationRigid registration algorithm for generating training/testing data for transfer function modelFeaturesRigid registration of.tiffconfocal/fluorescent microscopy images, outputting cropped images containing their mutual field of viewSupports the following registration scenariosImages at the same or different resolutions and pixel dimensions/scalesFull multichannel images based on a reference channelSpecific channels in multichannel images based on seperate reference channelMultiple pairs of images with the same registration scenario at onceConfiguration of registration settings through easy-to-read.yamlfileOutputs composite of registered image for easy evaluation of resultsQuick StartIn console (after installation):run_alignment --config_path `path/to/config/file.yaml`InstallationStable Release:pip install aics_tf_registrationDevelopment Head:pip install git+https://github.com/AllenCell/aics_tf_registration.gitDocumentationFor full package documentation please visitAllenCell.github.io/aics_tf_registration.Image Requirements for RegistrationIn order for the registration algorithm to produce accurate results, the images must have the following requirements:Images must be in.tifor.tiffformat.The source and target images must be in separate folders and images that are to be registered to each other must share the same filename.Images must be 3D or 4DThe field of view of either the source or target image must be wholly contained within the fov of the other (or cropped to be so with the settings in the config file)Rotation and mirroring of images (if necessary) to have matching orientations must either be done prior to registration or within the settings of the config file if it is consistent between different image pairsThe resolution/voxel dimensions of the images, or at least the relative scaling differences between the source and target image, should be known to within approximately 3-4 decimal unitsFree software: Allen Institute Software License
Package: aicurious
Hi! My name is Viet Anh. I'm a software developer from Vietnam.This is my personal utility library for software development. It contains
a lot of useful stuff that I use in my projects. It is not intended to be
a general purpose library, but it may be useful for you too.My blog:https://aicurious.io.My LinkedIn:https://www.linkedin.com/in/vietanhdev/.
Package: ai-cv-utils
AI-CV-UTILSThe best tool for generating test dataBecome a test data wizard, generating data quickly and easily.FeaturesSeparate images into different folders according to percentagesDelete background in imagesGenerate scenarios with test data✨ Magic ✨InstallationUsing pippip install ai-cv-utilsUsageSeparate images into different folders according to percentagesaicv split <source of files> -t <train_folder> -v <validation_folder> -x <test_folder> -T <train_percent> -V <validation_percent> -X <test_percent>Delete background in imagesaicv rmbg -s <source of files> -t <target>Generate scenarios with test dataaicv yologen -b <source of background> -s <samples_folder> -o <outout_folder>  -f <format_of_images> -z <percent_samples_size> -d <sample_degree_to_rotate> -q <qty_stages>Licenceai-cv-utils is provided under a AGPL3+ license that can be found in theLICENSEfile. By using, distributing, or contributing to this project, you agree to the terms and conditions of this license.
Package: aida-interchange
AIF Python APITo use theaida_interchangepackage within your project, you must first install it. It is recommended that you installaida_interchangeinto a python3 virtual environment. SeePython Virtual Environmentfor more details on creating and using a virtual environment.InstallTo installaida_interchange, make sure aPython Virtual Environmentis activated and run the following command:$pipinstallaida-interchangeTheaida_interchangemodules can now be imported into your project.API DocumentationThe python project usesSphinxfor generating documentation. To generate the documentation, make sure aPython Virtual Environmentis activated, navigate to theAIDA-Interchange-Format/python/docsdirectory, and run theupdate_documentation.shscript.$cddocs
$./update_documentation.shThis script will generate documentation in the form of HTML and place it within theAIDA-Interchange-Format/python/docs/build/htmlfolder.Python Virtual EnvironmentIt is recommended that Python development be done in an isolated environment called a virtual environment.  There are multiple ways to set up and use Python virtual environments.  This README describes one of those ways.The basic steps are:Install virtualenv (done once)Create a virtual environment (done once per development effort)Repeat as needed:Activate a virtual environmentInstall libraries and develop codeDeactivate a virtual environmentFollow the instructions below to set up your virtual environment. It is important to note that you should never install any project specific python dependencies outside of your virtual environment. Also, ensure that your virtual environment has been activated before running python scripts within this repository.Install virtualenvIf you haven't installedvirtualenvyet, follow these steps. This only needs to be once.$cd~
$mkdir.virtualenvs
$pipinstallvirtualenvVerify virtualenv is installed$whichvirtualenvCreate virtual environmentWhen you are starting development of a python project, you first need to create a virtual environment. The name of the virtual environment in the example below,aida-interchange-format, assumes you are making changes or testing the AIF library. Feel free to use a name specific to your application if you are just using the AIF library.To create the virtual environment and install the latest AIF, run the following:$virtualenv-ppython3~/.virtualenvs/aida-interchange-format
$source~/.virtualenvs/aida-interchange-format/bin/activate
$pipinstallaida-interchangeYour virtual environment is now activated. The following sections describe deactivating and re-activating the virtual environment.Deactivate virtual environmentTo deactivate your current virtual environment, run the following command.$deactivateActivate virtual environmentTo re-activate your virtual environment, run the following command.$source~/.virtualenvs/aida-interchange-format/bin/activate
Package: aida-ua
Це скрипт Python під назвою AIDA отримує курси обміну фіатних валют(USD & EUR) і криптовалют за допомогою API ПриватБанку та Binance. Це дозволяє користувачеві ввести кількість днів, за які він хоче побачити курси обміну, а також вибрати конкретну криптовалюту для перегляду курсу. AIDA використовує бібліотеку aiohttp для виконання асинхронних HTTP-запитів.Після запуску скрипт попросить користувача ввести кількість днів, за які він хоче переглянути курси обміну, а також код криптовалюти, курси якої він хоче переглянути (якщо є). Потім програма роздрукує курси обміну вибраних валют і криптовалюти за кожен із минулих днів, до вказаної кількості днів(криптовалюту можна вивести лише курс за останній доступний день).Список підтримуваних криптовалют:"BTC""ETH""SAND""SOL""DOGE"Зауважте, що AIDA вимагає встановлення бібліотеки aiohttp.
Це можливо зробити за допомогою pip, виконавши команду pip install aiohttp в терміналі.
Package: ai-db
AIDBAnalyze unstructured data blazingly fast with machine learning. Connect your own ML models to your own data sources and query away!Quick StartIn order to start using AIDB, all you need to do is install the requirements, specify a configuration, and query!
Setting up on the environment is as simple asgitclonehttps://github.com/ddkang/aidb.gitcdaidb
pipinstall-rrequirements.txt# Optional if you'd like to run the examples belowgdownhttps://drive.google.com/uc?id=1SyHRaJNvVa7V08mw-4_Vqj7tCynRRA3x
unzipdata.zip-dtests/Text Example (in CSV)We've set up an example of analyzing product reviews with HuggingFace. Set your HuggingFace API key. After this, all you need to do is runpythonlaunch.py--config=config.sentiment--setup-blob-table--setup-output-tableAs an example query, you can runSELECTAVG(score)FROMsentimentWHERElabel='5 stars'ERROR_TARGET10%CONFIDENCE95%;You can see the mappingshere. We use the HuggingFace API to generate sentiments from the reviews.Image Example (local directory)We've also set up another example of analyzing whether or not user-generated content is adult content for filtering.
In order to run this example, all you need to do is runpythonlaunch.py--config=config.nsfw_detect--setup-blob-table--setup-output-tableAs an example query, you can runSELECT*FROMnsfwWHEREracyLIKE'POSSIBLE';You can see the mappingshere. We use the Google Vision API to generate the safety labels.Key FeaturesAIDB focuses on keeping cost down and interoperability high.We reduce costs with our optimizations:First-class support for approximate queries, reducing the cost of aggregations by up to350x.Caching, which speeds up multiple queries over the same data.We keep interoperability high by allowing you to bring your own data source, ML models, and vector databases!Approximate QueryingOne key feature of AIDB is first-class support for approximate queries.
Currently, we support approximateAVG,COUNT, andSUM.
We don't currently supportGROUP BYorJOINfor approximate aggregations, but it's on our roadmap.
Please reach out if you'd like us to support your queries!In order to execute an approximate aggregation query, simply appendERROR_TARGET <error percent>% CONFIDENCE <confidence>%to your normal aggregation.
As a full example, you can compute an approximate count by doing:SELECTCOUNT(xmin)FROMobjectsERROR_TARGET5%CONFIDENCE95%;TheERROR_TARGETspecifies the percent errorcompared to running the query exactly.For example, if the true answer is 100, you will get answers between 95 and 105 (95% of the time).Useful LinksHow to connect ML APIsHow to define configuration fileConnecting to Data StoreContributeWe have many improvements we'd like to implement. Please help us! For the time being, pleaseemailus, if you'd like to help contribute.Contact UsNeed help in setting up AIDB for your specific dataset or want a new feature? Please fillthis form.
Package: aidbox-python-sdk
aidbox-python-sdkCreate a python 3.8+ environmentpyenvSet env variables and activate virtual environmentsource activate_settings.shInstall the required packages withpipenv install --devMake sure the app's settings are configured correctly (seeactivate_settings.shandaidbox_python_sdk/settings.py). You can also
use environment variables to define sensitive settings, eg. DB connection variables (see example.env-ptl)You can then run example withpython example.py.AddAPP_FAST_START_MODE=TRUEto env_tests for fast start mode.Getting startedMinimal applicationfromaidbox_python_sdk.mainimportcreate_appas_create_appfromaidbox_python_sdk.settingsimportSettingsfromaidbox_python_sdk.sdkimportSDKsettings=Settings(**{})sdk=SDK(settings,resources=resources,seeds=seeds)asyncdefcreate_app():returnawait_create_app(sdk)Register handler for operationimportloggingfromaiohttpimportwebfromyourappfolderimportsdk@sdk.operation(methods=["POST","PATCH"],path=["signup","register",{"name":"date"},{"name":"test"}],timeout=60000## Optional parameter to set a custom timeout for operation in milliseconds)defsignup_register_op(operation,request):"""POST /signup/register/21.02.19/testvaluePATCH /signup/register/22.02.19/patchtestvalue"""logging.debug("`signup_register_op` operation handler")logging.debug("Operation data:%s",operation)logging.debug("Request:%s",request)returnweb.json_response({"success":"Ok","request":request["route-params"]})Validate requestschema={"required":["params","resource"],"properties":{"params":{"type":"object","required":["abc","location"],"properties":{"abc":{"type":"string"},"location":{"type":"string"}},"additionalProperties":False,},"resource":{"type":"object","required":["organizationType","employeesCount"],"properties":{"organizationType":{"type":"string","enum":["profit","non-profit"]},"employeesCount":{"type":"number"},},"additionalProperties":False,},},}@sdk.operation(["POST"],["Organization",{"name":"id"},"$update"],request_schema=schema)asyncdefupdate_organization_handler(operation,request):location=request["params"]["location"]returnweb.json_response({"location":location})Valid request examplePOST/Organization/org-1/$update?abc=xyz&location=us

organizationType:non-profit
employeesCount:10
Package: aidd-codebase
AIDD CodebaseA high-level codebase for deep learning development in drug discovery applications using PyTorch-Lightning.DependenciesThe codebase requires the following additional dependenciesCUDA >= 11.4PyTorch >= 1.9Pytorch-Lightning >= 1.5RDKitOptionally supports: tensorboard and/or wandbInstallationThe codebase can be installed from PyPI usingpip, or your package manager of choice, with$pipinstallaidd-codebaseUsageConfiguration: The coding framework has a number of argument dataclasses in the filearguments.py. This file contains all standard arguments for each of the models. Because they are dataclasses, you can easily adapt them to your own needs.Does your Seq2Seq adaptation need an extra argument? Import the Seq2SeqArguments from arguments.py, create your own dataclass which inherits it and add your extra argument.*It is important to note that the order of supplying arguments to a script goes as follows:*- --flags override config.yaml- config.yaml overrides default values in arguments.py- default values from arguments.py are used when no other values are suppliedAt the end, it stores all arguments in config.yamlUse: The coding framework has four main parts:utilsdata_utilsmodelsinterpretationThese parts should be usedFile Setup: The setup of the files in the system is best used as followed:coding_framework|-- ..ESR X|-- project 1|-- data|-- ..|-- Arguments.py|-- config.yaml|-- main.py|-- datamodule.py|-- pl_framework.pyContributorsAll fellows of the AIDD consortium have contributed to the packaged.Code of ConductEveryone interacting in the codebase, issue trackers, chat rooms, and mailing lists is expected to follow thePyPA Code of Conduct.
Package: aiddl-core
The AIDDL Core LibraryThis is the Python implementation of the AIDDL Core Library.It provides everything needed forParsing AIDDL filesWorking with containers and modulesCreating terms and typesEvaluating terms and typesDefault functions for evaluationChanges0.3.4AIDDL files now packaged in sdist and bdist0.3.2Refactored parserAdded aiddl resource module containing .aiddl files to remove dependency on AIDDL_PATH environment variableModules loaded from symbolic terms now need to be in a path that follows their nameExample:x.y.zmust be in a filex/y/z.aiddlin any known pathPython modules can be added as path sources for .aiddl files to the newParserclass.For example:parser = Parser(c, aiddl_modules=[a, b, c])assumesa,b, andcare python modules
Package: aiddl-external-grpc
A GRPC Library for AIDDLInterfaces to connect the AIDDL framework to other components via Protobuf and gRPC.Proxy container functionalityServer hosts a containerClient is a proxy for a containerSupported services:Call function registered on server via its URIProxy FunctionSingle AIDDL function offered by a serverClient is a proxy of an AIDDL function f: Term -> TermActor abstractionImplement actor serversUse actor servers via gRPCSender abstractionSend AIDDL messages to a serverReceiver abstractionRead queued up AIDDL messages form a receiver serverQuery determines how messages are retrievedServer collects messages and sends them to client when queriedCan be used to collect sensor data occasionally queried by a sensor abstractionVersions0.2.0Sensor client0.1.0Actor clientActor server (abstract)Container proxyFunction call serviceContainer proxy clientFunction proxy clientFunction proxy server (abstract)Receiver clientReceiver server (abstract)Sender clientSender server (abstract)
Package: aidea
AIdea CLIOfficial AIdea command line tool forhttps://aidea-web.tw.InstallationMake sure you have installed both Python 3 andpippackage manager.Runpip install aideato install AIdea CLI.CommandsThe command line tool supports the following commands:aidea login              Login CLI
aidea topics list        List available topics
aidea topics files       List downloadable files
aidea topics download    Download topic files
aidea topics submit      Make a new submissionLicenseThe AIdea CLI is released under theApache 2.0 license.
Package: aide-core
Quick Links:Homepage|PlatformIO IDE|Registry|Project Examples|Docs|Donate|Contact UsSocial:LinkedIn|Twitter|Facebook|Community ForumsPlatformIOis a professional collaborative platform for embedded development.A place where Developers and Teams have true Freedom! No more vendor lock-in!Open source, maximum permissive Apache 2.0 licenseCross-platform IDE and Unified DebuggerStatic Code Analyzer and Remote Unit TestingMulti-platform and Multi-architecture Build SystemFirmware File Explorer and Memory InspectionGet StartedWhat is PlatformIO?PlatformIO IDEPlatformIO Core (CLI)Project ExamplesSolutionsLibrary ManagementDesktop IDEs IntegrationContinuous IntegrationAdvancedDebuggingUnit TestingStatic Code AnalysisRemote DevelopmentRegistryLibrariesDevelopment PlatformsDevelopment ToolsContributingSeecontributing guidelines.Telemetry / Privacy PolicyShare minimal diagnostics and usage information to help us make PlatformIO better.
It is enabled by default. For more information see:Telemetry SettingLicenseCopyright (c) 2014-present PlatformIO <contact@platformio.org>The PlatformIO is licensed under the permissive Apache 2.0 license,
so you can use it in both commercial and personal projects with confidence.
Package: aidedkit
DroneKit PythonDroneKit-Python helps you create powerful apps for UAVs.OverviewDroneKit-Python (formerly DroneAPI-Python) contains the python language implementation of DroneKit.The API allows developers to create Python apps that communicate with vehicles over MAVLink. It provides programmatic access to a connected vehicle's telemetry, state and parameter information, and enables both mission management and direct control over vehicle movement and operations.The API is primarily intended for use in onboard companion computers (to support advanced use cases including computer vision, path planning, 3D modelling etc). It can also be used for ground station apps, communicating with vehicles over a higher latency RF-link.Getting StartedTheQuick Startguide explains how to set up DroneKit on each of the supported platforms (Linux, Mac OSX, Windows) and how to write a script to connect to a vehicle (real or simulated).A basic script looks like this:fromdronekitimportconnect# Connect to UDP endpoint.vehicle=connect('127.0.0.1:14550',wait_ready=True)# Use returned Vehicle object to query device state - e.g. to get the mode:print("Mode:%s"%vehicle.mode.name)Once you've got DroneKit set up, theguideexplains how to perform operations like taking off and flying the vehicle. You can also try out most of the tasks by running theexamples.ResourcesThe project documentation is available athttps://readthedocs.org/projects/dronekit-python/. This includesguide,exampleandAPI Referencematerial.The example source code is hosted here on Github as sub-folders of/dronekit-python/examples.TheDroneKit Forumsare the best place to ask for technical support on how to use the library. You can also check out ourGitter channelthough we prefer posts on the forums where possible.Documentation:https://dronekit-python.readthedocs.io/en/latest/about/index.htmlGuides:[https://dronekit-python.readthedocs.io/en/latest/guide/index.html)API Reference:[https://dronekit-python.readthedocs.io/en/latest/automodule.html)Examples:/dronekit-python/examplesForums:http://discuss.dronekit.io/Gitter:https://gitter.im/dronekit/dronekit-pythonthough we prefer posts on the forums where possible.Users and contributors wanted!We'd love yourfeedback and suggestionsabout this API and are eager to evolve it to meet your needs, please feel free to create an issue to report bugs or feature requests.If you've created some awesome software that uses this project,let us know on the forums here!If you want to contribute, see ourContributingguidelines, we welcome all types of contributions but mostly contributions that would help us shrink ourissues list.LicenceDroneKit-Python is made available under the permissive open sourceApache 2.0 License.Copyright 2015 3D Robotics, Inc.
Package: aidee-living-docs
Aidee Living Documentation HelpersFeaturesHelper functions to generate living documentation with Sphinx and BehaveType safe code usingmypyfor type checkingRequirementsPython 3.9-3.11InstallationYou can installAidee Living Documentationviapip:$pipinstallaidee-living-docsThis addsaidee-living-docsas a library, but also provides the CLI application with the same name.Using the application from the command lineThe application also provides a CLI application that is automatically added to the path when installing via pip.Once installed with pip, type:aidee-living-docs --helpTo see which options are available.ContributingContributions are very welcome.
To learn more, see theContributor Guide.IssuesIf you encounter any problems,
pleasefile an issuealong with a detailed description.CreditsThis project has been heavily inspired byBluefruit
Package: aide-validation
Valadation Tool for AIDEValidation tool for the outputs in Onshape.InstallationStable Release:pip install aide_validationDevelopment Head:pip install git+https://github.com/AguaClara/aide_validation.gitQuick Startfromaide_validationimportlink_inputlink_input.main()DevelopmentSeeCONTRIBUTING.mdfor information related to developing the code.
Package: aidevkit
aikit一些ai开发过程中使用到的工具模块aikit安装使用aos安装git clone git@github.com:cpcgskill/aikit.git使用aosimportos# 设置以下环境变量为腾讯云cos的配置os.environ['COS_Region']='ap-hongkong'os.environ['COS_SecretId']=''os.environ['COS_SecretKey']=' 'os.environ['COS_Bucket']=' 'importtorchfromaidevkit.aosimportSaverclassMyModule(torch.nn.Module):def__init__(self):super(MyModule,self).__init__()self.linear=torch.nn.Linear(10,10)self.s=1defforward(self,x):returnself.linear(x)saver=Saver(lambda:MyModule(),'test.pt',3)foriinrange(10):saver.step()
Package: aidevlog
templetetemplete of AIDevLog需要修改.travis.ymlgemsources--addhttps://gems.ruby-china.com/--removehttps://rubygems.org/
gemsources-l[sudo]geminstalltravis
travislogin
travisencrypt<PyPIpassword>--adddeploy.password关于转义某些符号的注意事项请注意，如果您的 PyPI 密码包含特殊字符，则需要在加密密码之前将其转义。https://2019.iosdevlog.com/2019/06/05/travis/代码规范.vscode/settings.json{"python.pythonPath":"/Users/iosdevlog/.Envs/aidevlog/bin/python","python.linting.flake8Enabled":true,"python.formatting.provider":"yapf","python.linting.flake8Args":["--max-line-length=248"],"python.linting.pylintEnabled":false}字符串使用双引号：""安装pipinstallaidevlog开发本地开发pip3install-e.测试pytest发布python3setup.pysdistbdist_wheel
twineuploaddist/*生成 CHANGELOGnpminstall-gconventional-changelog-cli
./version.sh联系方式网站:http://2019.iosdevlog.com/微信公众号: AI 开发日志LicenseAIDevLog is released under the MIT license. SeeLICENSEfor details.