Label Studio Integrations

Open source platform for machine learning. TensorFlow is a machine learning platform that is open-source and available to all. It offers a flexible, comprehensive ecosystem of tools, libraries, and community resources that allows researchers to push the boundaries of machine learning. Developers can easily create and deploy ML-powered applications using its tools. Easy ML model training and development using high-level APIs such as Keras. This allows for quick model iteration and debugging. No matter what language you choose, you can easily train and deploy models in cloud, browser, on-prem, or on-device. It is a simple and flexible architecture that allows you to quickly take new ideas from concept to code to state-of the-art models and publication. TensorFlow makes it easy to build, deploy, and test.

Kubernetes (K8s), an open-source software that automates deployment, scaling and management of containerized apps, is available as an open-source project. It organizes containers that make up an app into logical units, which makes it easy to manage and discover. Kubernetes is based on 15 years of Google's experience in running production workloads. It also incorporates best-of-breed practices and ideas from the community. Kubernetes is built on the same principles that allow Google to run billions upon billions of containers per week. It can scale without increasing your operations team. Kubernetes flexibility allows you to deliver applications consistently and efficiently, no matter how complex they are, whether you're testing locally or working in a global enterprise. Kubernetes is an open-source project that allows you to use hybrid, on-premises, and public cloud infrastructures. This allows you to move workloads where they are most important.

Amazon Simple Storage Service (Amazon S3), an object storage service, offers industry-leading scalability and data availability, security, performance, and scalability. Customers of all sizes and industries can use Amazon S3 to store and protect any amount data for a variety of purposes, including data lakes, websites and mobile applications, backup, restore, archive, enterprise apps, big data analytics, and IoT devices. Amazon S3 offers easy-to-use management tools that allow you to organize your data and set up access controls that are tailored to your business, organizational, or compliance needs. Amazon S3 is built for 99.999999999% (11 9,'s) of durability and stores data for millions applications for companies around the globe. You can scale your storage resources to meet changing demands without having to invest upfront or go through resource procurement cycles. Amazon S3 is designed to last 99.999999999% (11 9,'s) of data endurance.

All sizes of companies can use object storage. You can store any amount of data. You can retrieve it as often and as often as you like. You can configure your data with Object Lifecycle Management to automatically transition to lower cost storage classes when it meets certain criteria, such as when it reaches a certain date or when you have stored a newer version. Cloud Storage offers a growing number of storage locations that you can store your data, with multiple redundancy options. You can choose where and how to store your data, regardless of whether you want to optimize for a split-second response or create a robust disaster recovery strategy. Two highly efficient online routes to Cloud Storage are Storage Transfer Service and Transfer Service. Both offer the speed and scalability you need to make data transfers faster. Our Transfer Appliance is a shippable storage device that can be used for offline data transfer.

Redis Labs is the home of Redis. Redis Enterprise is the best Redis version. Redis Enterprise is more than a cache. Redis Enterprise can be free in the cloud with NoSQL and data caching using the fastest in-memory database. Redis can be scaled, enterprise-grade resilience, massive scaling, ease of administration, and operational simplicity. Redis in the Cloud is a favorite of DevOps. Developers have access to enhanced data structures and a variety modules. This allows them to innovate faster and has a faster time-to-market. CIOs love the security and expert support of Redis, which provides 99.999% uptime. Use relational databases for active-active, geodistribution, conflict distribution, reads/writes in multiple regions to the same data set. Redis Enterprise offers flexible deployment options. Redis Labs is the home of Redis. Redis JSON, Redis Java, Python Redis, Redis on Kubernetes & Redis gui best practices.

Scikit-image is a collection algorithm for image processing. It is free to download and without restriction. We are proud of our high-quality code that has been peer-reviewed and is written by a large community of volunteers. Scikit-image is a Python library that provides a variety of image processing routines. This library is being developed by its community. Contributions are most welcome! Scikit-image is a reference library for scientific image analysis using Python. This is achieved by making it easy to use and easy to install. We take care when adding new dependencies. Sometimes we remove existing ones or make them optional. Our API has detailed docstrings that clarify the expected inputs and outputs for all functions. Conceptually identical arguments share the same name and position within a function signature. The library has close to 100% test coverage and all code is reviewed by at minimum two core developers before it is included.

TorchScript allows you to seamlessly switch between graph and eager modes. TorchServe accelerates the path to production. The torch-distributed backend allows for distributed training and performance optimization in production and research. PyTorch is supported by a rich ecosystem of libraries and tools that supports NLP, computer vision, and other areas. PyTorch is well-supported on major cloud platforms, allowing for frictionless development and easy scaling. Select your preferences, then run the install command. Stable is the most current supported and tested version of PyTorch. This version should be compatible with many users. Preview is available for those who want the latest, but not fully tested, and supported 1.10 builds that are generated every night. Please ensure you have met the prerequisites, such as numpy, depending on which package manager you use. Anaconda is our preferred package manager, as it installs all dependencies.

Docker eliminates repetitive, tedious configuration tasks and is used throughout development lifecycle for easy, portable, desktop, and cloud application development. Docker's complete end-to-end platform, which includes UIs CLIs, APIs, and security, is designed to work together throughout the entire application delivery cycle. Docker images can be used to quickly create your own applications on Windows or Mac. Create your multi-container application using Docker Compose. Docker can be integrated with your favorite tools in your development pipeline. Docker is compatible with all development tools, including GitHub, CircleCI, and VS Code. To run applications in any environment, package them as portable containers images. Use Docker Trusted Content to get Docker Official Images, images from Docker Verified Publishings, and more.

SQLite is a C language library that implements a small, fast and self-contained SQL database engine. It is highly reliable, compact, efficient, and fully-featured. SQLite is the most widely used database engine in the globe. SQLite is embedded in all mobile phones and computers. It also comes with countless other applications that people use every single day. SQLite is an embedded library that implements a self contained, serverless, zero configuration, transactional SQL database engine. The code for SQLite can be used for commercial and private purposes. SQLite is the most used database in the world, with many high-profile projects and more applications than we can count.

Select the subset of data that has the greatest impact on the accuracy of your model. This allows you to improve your model by using the best data in retraining. Reduce data redundancy and bias and focus on edge cases to get the most from your data. Lightly's algorithms are capable of processing large amounts of data in less than 24 hour. Connect Lightly with your existing buckets to process new data automatically. Our API automates the entire data selection process. Use the latest active learning algorithms. Combining active- and selfsupervised learning algorithms lightly for data selection. Combining model predictions, embeddings and metadata will help you achieve your desired distribution of data. Improve your model's performance by understanding data distribution, bias and edge cases. Manage data curation and keep track of the new data for model training and labeling. Installation is easy via a Docker Image and cloud storage integration. No data leaves your infrastructure.

Amazon SageMaker, a fully managed service, provides data scientists and developers with the ability to quickly build, train, deploy, and deploy machine-learning (ML) models. SageMaker takes the hard work out of each step in the machine learning process, making it easier to create high-quality models. Traditional ML development can be complex, costly, and iterative. This is made worse by the lack of integrated tools to support the entire machine learning workflow. It is tedious and error-prone to combine tools and workflows. SageMaker solves the problem by combining all components needed for machine learning into a single toolset. This allows models to be produced faster and with less effort. Amazon SageMaker Studio is a web-based visual interface that allows you to perform all ML development tasks. SageMaker Studio allows you to have complete control over each step and gives you visibility.

Secure, highly scalable object storage that is both highly scalable and scalable for cloud-native workloads. Azure Blob Storage allows you to create data lakes for your analytics and storage to build powerful cloud and mobile apps. Tiered storage reduces costs and allows you to scale up for machine learning and high-performance computing workloads. Blob storage was designed from the ground up for developers of mobile, web and cloud-native applications. It supports the scale, security and availability requirements. It can be used as a foundation for serverless architectures like Azure Functions. Blob storage supports all the most popular development frameworks such as Java,.NET and Python. It is also the only cloud storage service that offers a premium SSD-based object storage tier to support interactive and low-latency scenarios.

AutoTrain is a new way to automatically evaluate, deploy and train state-of-the art Machine Learning models. AutoTrain, seamlessly integrated into the Hugging Face ecosystem, is an automated way to develop and deploy state of-the-art Machine Learning model. Your account is protected from all data, including your training data. All data transfers are encrypted. Today's options include text classification, text scoring and entity recognition. Files in CSV, TSV, or JSON can be hosted anywhere. After training is completed, we delete all training data. Hugging Face also has an AI-generated content detection tool.

Simplify your MLOps pipelines. ZenML allows you to manage, deploy and scale any infrastructure. ZenML is open-source and free. Two simple commands will show you the magic. ZenML can be set up in minutes and you can use all your existing tools. ZenML interfaces ensure your tools work seamlessly together. Scale up your MLOps stack gradually by changing components when your training or deployment needs change. Keep up to date with the latest developments in the MLOps industry and integrate them easily. Define simple, clear ML workflows and save time by avoiding boilerplate code or infrastructure tooling. Write portable ML codes and switch from experiments to production in seconds. ZenML's plug and play integrations allow you to manage all your favorite MLOps software in one place. Prevent vendor lock-in by writing extensible, tooling-agnostic, and infrastructure-agnostic code.

Terraform is an open source infrastructure as code software tool. It provides a consistent CLI workflow for managing hundreds of cloud services. Terraform codifies cloud APIs into declarative configuration files. Write infrastructure as code using declarative configuration files. The HashiCorp Configuration Language allows for concise descriptions using blocks, arguments and expressions of resources. Run terraform plan before you provision or change infrastructure. To achieve the desired configuration state, apply changes to hundreds cloud providers using terraform. To manage the entire lifecycle of infrastructure, define it as code. Create new resources, manage existing ones, destroy those that are no longer needed.

Easy deployment, management, monitoring, and security of AI models in production. Modzy is an Enterprise AI platform that makes it easy to scale trusted AI in your enterprise. Modzy can help you accelerate the deployment, management and governance of trusted AI. It offers enterprise-grade platform features such as security, APIs and SDKs that allow unlimited model deployment, management and governance. You can deploy on your hardware, private cloud, or public cloud. Includes AirGap deployments, and tactical edge. Auditing and governance for central AI management. This will give you access to all AI models in production in real time. The world's fastest explanation (beta), deep neural network solution, creating audit logs for model predictions. High-tech security features to prevent data poisoning, as well as a full-suite patented Adversarial Defence to protect models in production.

Flair is an AI tool that creates branded content. In seconds, you can create high-quality marketing assets. In less than a minute, create entire photoshoots. Generate content that reflects your brand's style. You can choose from our extensive selection of high-end styles or create your own moodboard to generate images that reflect your brand's unique aesthetic. You can shoot your product anywhere. We preserve your brand's details.

Multilingual cloud IDE-Lightly helps you develop your apps quickly and efficiently. AI-generated code, collaborative development tools and AI-generated code will help you create high-quality code quickly. Lightly is an IDE cloud that supports multiple languages including Java, Python C++ HTML JavaScript. You can write, run and debug code anywhere, anytime on iPad. AI-generated code helps you generate code quickly. Collaboration in real time is made easy with collaborative development. Lightly can host and deploy your projects without having to manage infrastructures. We'll provide you with project images that will help you efficiently deploy on AWS Azure GCP or any other cloud provider. Let the AI programming assistant handle the rest!

Vector search can give you a competitive edge. Streamline your AI/ML workflows, reduce costs and stay ahead with up to a 10x faster time-to market. ApertureDB’s unified multimodal management of data will free your AI teams from data silos and allow them to innovate. Setup and scale complex multimodal infrastructure for billions objects across your enterprise in days instead of months. Unifying multimodal data with advanced vector search and innovative knowledge graph, combined with a powerful querying engine, allows you to build AI applications at enterprise scale faster. ApertureDB will increase the productivity of your AI/ML team and accelerate returns on AI investment by using all your data. You can try it for free, or schedule a demonstration to see it in action. Find relevant images using labels, geolocation and regions of interest. Prepare large-scale, multi-modal medical scanning for ML and Clinical studies.

Pachyderm's Data Versioning provides teams with an automated and efficient way to track all data changes. File-based versioning allows for a complete audit trail of all data and artifacts across the pipeline stages, including intermediate results. Versioning can be automated and guaranteed because they are native objects, not metadata pointers. Without writing additional code, autoscale data processing by parallel. Incremental processing reduces computation by only processing the differences and automatically skipping duplicates. Pachyderm's Global IDs allow teams to track any result back to its raw input. This includes all analysis, parameters, codes, and intermediate results. The Pachyderm Console allows you to see your DAG (directed-acyclic graph) and helps with reproducibility using Global IDs.

PostgreSQL, a powerful open-source object-relational database system, has over 30 years of experience in active development. It has earned a strong reputation for reliability and feature robustness.

Tesseract, an OCR engine that supports unicode, can recognize more than 100 languages right out of the box. It can also be trained to recognize foreign languages. Tesseract can be used to detect text on mobile devices, in video and in Gmail image spam detection.

Galileo AI creates delightful, editable UI designs from a simple text description. It allows you to design faster than ever before. Our technology draws from thousands of user experience design examples and creates the UI that meets all your requirements in lightning fast time. Our carefully selected AI-generated images and illustrations will help you create designs that reflect your vision and style. Our AI uses large language models to understand complex contexts and accurately fills out the product copy. Spend less time on repetitive tasks like creating UI patterns or making small visual adjustments. Instead, put your efforts into creating creative solutions that have a greater impact.