Pinecone

Pinecone is an easy-to-use, developer-friendly, fully managed vector database that powers vector search, semantic search, recommenders, and other applications requiring relevant information retrieval. With Pinecone, it is fast and scalable to take vector search from research to production without DevOps hassle. Pinecone includes filtered, fresh, and fast vector search with ultra-low query latency, even with millions of items, and it integrates with metadata filters for more relevant and faster results. Pinecone is a managed vector database that is scalable from zero to billions of items with no downtime and minimal latency impact. Pinecone offers usage-based pricing, easy-to-use API or Python client to improve search or recommendation systems with just a few lines of code, and its SOC 2 Type II certified and GDPR compliant, making it secure and reliable for users. --- - Easy-to-use, developer-friendly, fully managed vector database for easy and fast production of vector search applications. - Enables building of high-performance vector search applications with low query latency, even with millions of items. - Metadata filters for relevant and faster results. - Scalable from zero to billions of items with no downtime and minimal latency impact. - Usage-based pricing with a free plan. - Managed vector database that is SOC 2 Type II certified and GDPR compliant for secure and reliable data management. - Easy-to-use API or Python client for integrating with existing systems. - Upgrade search or recommendation systems with just a few lines of code - Integrates with metadata filters for more relevant and faster results. - Provides ultra-low query latency, even with billions of items.

PoplarML

PoplarML is a tool that simplifies the deployment of production-ready, scalable machine learning systems with minimal engineering effort. With just one command, users can deploy any machine learning model to a fleet of GPUs as a ready-to-use and scalable API endpoint. PoplarML is framework-agnostic, allowing users to bring their Tensorflow, Pytorch, or JAX model to be deployed seamlessly. The tool enables real-time inference by invoking a model through a REST API endpoint. PoplarML offers an easy-to-use command-line interface tool that deploys machine learning models with minimal engineering effort. The platform is designed to help users reduce time-to-market, and streamline their machine learning deployment processes. PoplarML simplifies deployment workflows by providing a platform for automating the deployment process. It scales effortlessly to accommodate new features and workflows as users need them. PoplarML is built for diverse teams, including developers, data scientists, and machine learning engineers. --- - Simplifies the deployment of production-ready and scalable ML systems with minimal engineering effort - Allows users to deploy any machine learning model to a fleet of GPUs with just one command - Accepts models built on Tensorflow, PyTorch, or JAX frameworks - Enables real-time inference through a REST API endpoint - Offers an easy-to-use CLI tool for deploying machine learning models with minimal engineering effort - Designed to help users reduce time-to-market and streamline their machine learning deployment processes - Simplifies deployment workflows and automates the deployment process - Built for diverse teams, including developers, data scientists, and machine learning engineers - Scales effortlessly to accommodate new features and workflows as users need them

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Sagify

The Pop2Piano tool is a generative model for creating high quality 3D textured shapes from images, specifically for piano covers of popular modern songs. The system uses a deep learning algorithm to map audio features from the original song onto the piano cover, rendering a stereo audio output with the piano on one side and the original song on the other. The Pop2Piano tool can be accessed using an intuitive demo interface that allows the user to select from a range of popular songs and arranger styles to create their own unique covers. The Pop2Piano tool is backed by a research paper and comes with fully documented source code that is accessible through the provided links. With a high-quality output sound and a wide range of customization options, the Pop2Piano tool is a powerful creative resource for musicians, music producers, and anyone else looking to experiment with audio generation and cover creation. --- - Generates high quality 3D textured shapes for piano cover generation from images - Uses a deep learning algorithm to map audio features from the original song onto the piano cover - Renders a stereo audio output with the piano on one side and the original song on the other - Can be accessed using an intuitive demo interface - Allows the user to select from a range of popular songs and arranger styles - The Pop2Piano tool is backed by a research paper - Comes with fully documented source code that is accessible through provided links - Has a high-quality output sound and a wide range of customization options - A powerful creative resource for musicians, music producers and anyone else looking to experiment with audio generation and cover creation - Provides qualitative comparisons with samples and demo videos.

Shaped

Shaped is an API tool for building powerful ranking models that provide personalized discovery pages, feeds, recommendations, and marketing communication. The tool allows you to understand which content your users are most likely to engage with or buy. Shaped aims to help users optimize search, recommendations, or marketplaces by leveraging industry-leading data science practices. Using Shaped, you don't need to handle all the data engineering, model training, and deployment difficulties inherent to recommendation systems. 70% of watch time from what the algorithm recommends, 30% of revenue from recommendations, and 75% of content discovered from recommendations come from using ranking tools. Leaders use ranking to build world-class discovery experiences. Shaped is designed for developers who can easily plug in the API into existing products. Shaped is applicable across multiple industries such as grocery delivery, fashion, recruitment leads, productivity tools, and more. --- - Build powerful ranking models for personalized discovery pages - Understand which content is most likely to engage with or buy - Create feeds, recommendations, and marketing communication that users will love - Optimize search, recommendations, or marketplaces by leveraging industry-leading data science practices - Avoid handling data engineering, model training, and deployment difficulties inherent to recommendation systems - 70% of watch time from what the algorithm recommends - 30% of revenue from recommendations - 75% of content discovered from recommendations - Shaped is designed for developers who can easily plug in the API into existing products - Applicable across multiple industries such as grocery delivery, fashion, recruitment leads, productivity tools, and more.

Virtuoso QA

Virtuoso is a cloud-based Codeless robotic test automation platform that helps engineers and non-engineers create self-maintaining automation, speeding up testing by 10 times. Virtuoso automates UI, UX, Functional, Integration, Visual, Compatibility, Accessibility and security testing, using NLP, AI and Machine Learning algorithms. The platform combines Robotic Process Automation, AI/ML, and Natural Language Programming to deliver an unrivaled authoring experience, while reducing test maintenance to near zero. Virtuoso allows in-sprint testing, eliminating the need for a regression pack. Its bots dive into the DOM level of applications to build comprehensive models of elements based on all available selectors, IDs, and attributes, intelligently self-healing and eliminating flaky tests. By reducing test maintenance costs by 85%, Virtuoso allows users to focus on finding and fixing bugs, improving quality. The platform is mindblowingly easy to use, and users can write fully-executable UI tests from wireframes before the application under test is created. Virtuoso accelerates execution time by 10x and increases test authoring speed by 9x, making it an excellent choice for in-sprint regression testing. --- - Cloud-based Codeless robotic test automation platform - Automates UI, UX, Functional, Integration, Visual, Compatibility, Accessibility, and security testing - Uses NLP, AI, and Machine Learning algorithms - Combines Robotic Process Automation, AI/ML, and Natural Language Programming - Allows in-sprint testing - Builds comprehensive models of elements based on all available selectors, IDs, and attributes, intelligently self-healing, and eliminating flaky tests - Reduces test maintenance costs by 85% - Mindblowingly easy to use - Accelerates execution time by 10x - Increases test authoring speed by 9x

Xata

Xata is a serverless data platform that simplifies data management for developers. Its AI-powered ChatGPT feature provides additional value to data by allowing the creation of Q&A bots that answer questions in applications and websites. Xata's highly-tuneable interface is equipped with keyword and semantic search functions that use an OpenAI completion model to generate relevant keywords from questions. Xata has a fully-featured database with built-in full-text search and vector search capabilities. Users can enjoy its generous free tier with up to 750K data records and 15GB memory for free, OpenAI API calls included. With Xata, developers can easily integrate data management into their products and easily apply custom rules with the help of its highly scalable and modifiable interface. --- - AI-powered ChatGPT feature that enables the creation of Q&A bots - Highly tuneable interface with keyword and semantic search functions - Fully-featured database with built-in full-text search and vector search capabilities - Generous free tier with up to 750K data records and 15GB memory for free, with OpenAI API calls included - Easy integration of data management into products - Apply custom rules to ensure relevant results - Provides a simple API call to answer questions using data as context - Equipped with knobs and dials for highly scalable and modifiable interface - Provides code samples on their examples repo for demo purposes - FAQs section helps answer common questions about their data platform.

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