Best AI tools for< Manage Machines >

Snaplet is a data management tool for developers that provides AI-generated dummy data for local development, end-to-end testing, and debugging. It uses a real programming language (TypeScript) to define and edit data, ensuring type safety and auto-completion. Snaplet understands database structures and relationships, automatically transforming personally identifiable information and seeding data accordingly. It integrates seamlessly into development workflows, providing data where it's needed most: on local machines, for CI/CD testing, and preview environments.

EmbedSocial is an AI-powered UGC platform that seamlessly integrates with major social media platforms and review sites to effortlessly gather user-generated content, reviews, and feedback. It offers a complete suite of products for social media aggregation, reviews management, forms building, and more. With features like AI Reviews Summarizer, social commerce capabilities, and Google Posts scheduler, EmbedSocial provides a one-stop solution for businesses to leverage social proof and enhance customer engagement. The platform also includes a vast library of customizable widgets and templates to embed interactive content on websites and social media pages.

PROPHESEE is an AI-driven system developed by Metavision Technologies that leverages Event-Based Vision technology inspired by human vision and neuromorphic engineering. It enables machines to capture hyper-fast and fleeting scene dynamics, manage extreme lighting conditions, and operate with new levels of power efficiency. The system enhances machine intelligence, autonomy, speed, and safety, offering a new era in autonomy, automation, and mobility. PROPHESEE combines patented neuromorphic vision sensors and AI algorithms to create an unparalleled event-based vision system, dynamically driven by live scene events. It significantly improves artificial vision speed and efficiency, reducing energy consumption and computational power requirements.

Ascenscia is a specialized AI voice assistant designed to streamline lab digitization processes. It integrates with laboratory software and machines to enable hands-free interactions, automating data collection, optimizing workflows, and accelerating R&D cycles. Ascenscia offers features such as data accessibility, data capturing, inventory access, and additional task management. The application is designed for scientific labs, addressing concerns with precision, safety, and adaptability. It boasts high accuracy in understanding scientific terminologies, end-to-end data encryption, multi-lingual support, and customization options for different lab workflows.

Robovision is a central platform to manage vision intelligence inside smart machines. Successfully introduce AI in dynamic environments without the need for AI experts.

Microsoft Azure is a cloud computing service that offers a wide range of products and solutions for businesses and developers. It provides services such as virtual machines, AI services, Kubernetes service, DevOps, SQL databases, and more. Azure aims to empower users to build, deploy, and manage applications and services on a global scale, with a focus on innovation, security, and scalability.

wallet.AI is an AI application that provides smart machines to inform users about their financial behavior. Founded in San Francisco in 2012, wallet.AI builds intelligent engines that analyze millions of data pieces to help users make better daily financial decisions. The application aims to assist individuals in managing their finances effectively by leveraging artificial intelligence technology.

wallet.AI is an AI application that provides smart machines to inform users about their financial behavior. Founded in San Francisco in 2012, wallet.AI builds intelligent engines that analyze millions of pieces of data to help users make better daily financial decisions. The application aims to assist people in making informed financial choices by leveraging artificial intelligence technology.

Seldon is an MLOps platform that helps enterprises deploy, monitor, and manage machine learning models at scale. It provides a range of features to help organizations accelerate model deployment, optimize infrastructure resource allocation, and manage models and risk. Seldon is trusted by the world's leading MLOps teams and has been used to install and manage over 10 million ML models. With Seldon, organizations can reduce deployment time from months to minutes, increase efficiency, and reduce infrastructure and cloud costs.

Lobe is a machine learning tool that helps users train machine learning models and ship them to any platform of their choice. It provides a user-friendly interface for creating and managing machine learning projects, making it easy for both beginners and experienced users to work with AI models.

DataRobot is an AI tool that provides product documentation for users. It offers a comprehensive platform for leveraging AI and machine learning to automate and optimize various processes. With DataRobot, users can build, deploy, and manage machine learning models efficiently, enabling data-driven decision-making across different industries.

Diligen is a machine learning powered contract analysis tool that helps teams streamline their contract review process. It can identify key provisions, generate contract summaries, and help teams manage review with machine learning powered analysis. Diligen is used by law firms, legal service providers, and corporations around the world to make high quality contract review faster, more efficient, and more cost effective.

La Growth Machine is a multichannel sales automation tool that helps users import and enrich leads, automate conversions, manage leads, and analyze performances. It offers features such as LinkedIn Voice Messages, multichannel inbox, calls, automation of actions and messages, AI-powered writing assistance, campaign analysis, lead management, and more. La Growth Machine streamlines operational processes, enhances performance, and centralizes data in one place. With a focus on multi-channel prospecting, the tool aims to increase conversations and opportunities for users. Trusted by over 10,000 professionals, La Growth Machine provides a seamless experience for reaching out to leads across various platforms.

Obviyo is a product-led growth platform that helps e-commerce businesses increase revenue by matching products to shoppers based on real-time behavior. It uses AI to identify buying signals from individual shoppers and link them with products of interest. Obviyo's suite of AI-powered Growth Bots, cross-platform data, and real-time AI algorithms enable businesses to personalize the shopping experience, upsell and cross-sell products, optimize product merchandising, and acquire new customers. Obviyo integrates with Shopify and Amazon, and has a track record of delivering strong customer results for global brands.

Invoca is a Conversation Intelligence AI Leader that offers a Revenue Execution Platform to help marketing, sales, and contact centers drive more revenue. The platform provides solutions for call tracking, artificial intelligence, and interaction management. It integrates with Google, social advertising platforms, and offers APIs & webhooks. Invoca caters to various industries such as automotive, financial services, healthcare, insurance, retail, telecom, and travel & hospitality. The platform helps optimize ad spend, boost campaign performance, prioritize high-value callers, improve agent performance, and streamline data activation.

Vindey is an industry-leading AI-powered CRM platform designed for property management and sales solutions. It offers real-time smart suggestions, automation features, and intelligent sales automation to transform customer experiences. Vindey handles the entire sales pipeline, from lead qualification to deal closing, while providing personalized interactions and seamless lead management. The platform also offers AI-powered payment insights, workflow automation, and tailored solutions for various industries, such as sales, healthcare, real estate, education, and manufacturing.

Pickaxe is a platform that allows users to build, share, and manage AI apps. With Pickaxe, users can create their own AI tools, launch AI studios for others to use, and monetize their expertise. Pickaxe is designed to be easy to use, with no-code required. The platform provides a variety of templates and resources to help users get started. Pickaxe is used by a variety of people, including creators, entrepreneurs, and businesses. The platform has been used to create a wide range of AI tools, including chatbots, text generators, and image generators.

This is a unified DevOps platform to build AI applications. It provides a comprehensive set of tools and services to help developers build, deploy, and manage AI applications. The platform includes a variety of features such as a code editor, a debugger, a profiler, and a deployment manager. It also provides access to a variety of AI services, such as natural language processing, machine learning, and computer vision.

Amazon Bedrock is a cloud-based platform that enables developers to build, deploy, and manage serverless applications. It provides a fully managed environment that takes care of the infrastructure and operations, so developers can focus on writing code. Bedrock also offers a variety of tools and services to help developers build and deploy their applications, including a code editor, a debugger, and a deployment pipeline.

DVC Studio is a collaboration tool for machine learning teams. It provides seamless data and model management, experiment tracking, visualization, and automation. DVC Studio is built for ML researchers, practitioners, and managers. It enables model organization and discovery across all ML projects and manages model lifecycle with Git, unifying ML projects with the best DevOps practices. DVC Studio also provides ML experiment tracking, visualization, collaboration, and automation using Git. It applies software engineering and DevOps best-practices to automate ML bookkeeping and model training, enabling easy collaboration and faster iterations.

foreverVM is a tool that provides an API for running arbitrary, stateful Python code securely. It revolves around the concepts of machines and instructions, where machines represent stateful Python processes and instructions are Python statements and expressions that can be executed on these machines. Users can interact with machines, run instructions, and receive results. The tool ensures that machines are managed efficiently by automatically swapping them from memory to disk when idle and back when needed, allowing for running REPLs 'forever'. Users can easily get started with foreverVM using the CLI and an API token, and can leverage the SDK for more advanced functionalities.

OSWorld is a benchmarking tool designed to evaluate multimodal agents for open-ended tasks in real computer environments. It provides a platform for running experiments, setting up virtual machines, and interacting with the environment using Python scripts. Users can install the tool on their desktop or server, manage dependencies with Conda, and run benchmark tasks. The tool supports actions like executing commands, checking for specific results, and evaluating agent performance. OSWorld aims to facilitate research in AI by providing a standardized environment for testing and comparing different agent baselines.

Burr is a Python library and UI that makes it easy to develop applications that make decisions based on state (chatbots, agents, simulations, etc...). Burr includes a UI that can track/monitor those decisions in real time.

VLMRun Hub is a versatile tool for managing and running virtual machines in a centralized manner. It provides a user-friendly interface to easily create, start, stop, and monitor virtual machines across multiple hosts. With VLMRun Hub, users can efficiently manage their virtualized environments and streamline their workflow. The tool offers flexibility and scalability, making it suitable for both small-scale personal projects and large-scale enterprise deployments.

Kalavai is an open-source platform that transforms everyday devices into an AI supercomputer by aggregating resources from multiple machines. It facilitates matchmaking of resources for large AI projects, making AI hardware accessible and affordable. Users can create local and public pools, connect with the community's resources, and share computing power. The platform aims to be a management layer for research groups and organizations, enabling users to unlock the power of existing hardware without needing a devops team. Kalavai CLI tool helps manage both versions of the platform.

Geoweaver is an in-browser software that enables users to easily compose and execute full-stack data processing workflows using online spatial data facilities, high-performance computation platforms, and open-source deep learning libraries. It provides server management, code repository, workflow orchestration software, and history recording capabilities. Users can run it from both local and remote machines. Geoweaver aims to make data processing workflows manageable for non-coder scientists and preserve model run history. It offers features like progress storage, organization, SSH connection to external servers, and a web UI with Python support.

This repository contains the open source python command line interface for vast.ai. The CLI has all the main functionality of the vast.ai website GUI and uses the same underlying REST API. The main functionality is self-contained in the script file vast.py, with additional invoice generating commands in vast_pdf.py. Users can interact with the vast.ai platform through the CLI to manage instances, create templates, manage teams, and perform various cloud-related tasks.

CRB (Composable Runtime Blocks) is a unique framework that implements hybrid workloads by seamlessly combining synchronous and asynchronous activities, state machines, routines, the actor model, and supervisors. It is ideal for building massive applications and serves as a low-level framework for creating custom frameworks, such as AI-agents. The core idea is to ensure high compatibility among all blocks, enabling significant code reuse. The framework allows for the implementation of algorithms with complex branching, making it suitable for building large-scale applications or implementing complex workflows, such as AI pipelines. It provides flexibility in defining structures, implementing traits, and managing execution flow, allowing users to create robust and nonlinear algorithms easily.

AIStore is a lightweight object storage system designed for AI applications. It is highly scalable, reliable, and easy to use. AIStore can be deployed on any commodity hardware, and it can be used to store and manage large datasets for deep learning and other AI applications.

APIMyLlama is a server application that provides an interface to interact with the Ollama API, a powerful AI tool to run LLMs. It allows users to easily distribute API keys to create amazing things. The tool offers commands to generate, list, remove, add, change, activate, deactivate, and manage API keys, as well as functionalities to work with webhooks, set rate limits, and get detailed information about API keys. Users can install APIMyLlama packages with NPM, PIP, Jitpack Repo+Gradle or Maven, or from the Crates Repository. The tool supports Node.JS, Python, Java, and Rust for generating responses from the API. Additionally, it provides built-in health checking commands for monitoring API health status.

Tau is a framework for building low maintenance & highly scalable cloud computing platforms that software developers will love. It aims to solve the high cost and time required to build, deploy, and scale software by providing a developer-friendly platform that offers autonomy and flexibility. Tau simplifies the process of building and maintaining a cloud computing platform, enabling developers to achieve 'Local Coding Equals Global Production' effortlessly. With features like auto-discovery, content-addressing, and support for WebAssembly, Tau empowers users to create serverless computing environments, host frontends, manage databases, and more. The platform also supports E2E testing and can be extended using a plugin system called orbit.

TapeAgents is a framework that leverages a structured, replayable log of the agent session to facilitate all stages of the LLM Agent development lifecycle. The agent reasons by processing the tape and the LLM output to produce new thoughts, actions, control flow steps, and append them to the tape. Key features include building agents as low-level state machines or high-level multi-agent team configurations, debugging agents with TapeAgent studio or TapeBrowser apps, serving agents with response streaming, and optimizing agent configurations using successful tapes. The Tape-centric design of TapeAgents provides ultimate flexibility in project development, allowing access to tapes for making prompts, generating next steps, and controlling agent behavior.

Hopsworks is a data platform for ML with a Python-centric Feature Store and MLOps capabilities. It provides collaboration for ML teams, offering a secure, governed platform for developing, managing, and sharing ML assets. Hopsworks supports project-based multi-tenancy, team collaboration, development tools for Data Science, and is available on any platform including managed cloud services and on-premise installations. The platform enables end-to-end responsibility from raw data to managed features and models, supports versioning, lineage, and provenance, and facilitates the complete MLOps life cycle.

ClearML Server is a backend service infrastructure for ClearML, facilitating collaboration and experiment management. It includes a web app, RESTful API, and file server for storing images and models. Users can deploy ClearML Server using Docker, AWS EC2 AMI, or Kubernetes. The system design supports single IP or sub-domain configurations with specific open ports. ClearML-Agent Services container allows launching long-lasting jobs and various use cases like auto-scaler service, controllers, optimizer, and applications. Advanced functionality includes web login authentication and non-responsive experiments watchdog. Upgrading ClearML Server involves stopping containers, backing up data, downloading the latest docker-compose.yml file, configuring ClearML-Agent Services, and spinning up docker containers. Community support is available through ClearML FAQ, Stack Overflow, GitHub issues, and email contact.

ChatFAQ is an open-source comprehensive platform for creating a wide variety of chatbots: generic ones, business-trained, or even capable of redirecting requests to human operators. It includes a specialized NLP/NLG engine based on a RAG architecture and customized chat widgets, ensuring a tailored experience for users and avoiding vendor lock-in.

Kaito is an operator that automates the AI/ML inference model deployment in a Kubernetes cluster. It manages large model files using container images, avoids tuning deployment parameters to fit GPU hardware by providing preset configurations, auto-provisions GPU nodes based on model requirements, and hosts large model images in the public Microsoft Container Registry (MCR) if the license allows. Using Kaito, the workflow of onboarding large AI inference models in Kubernetes is largely simplified.

Awesome Responsible AI is a curated list of academic research, books, code of ethics, courses, data sets, frameworks, institutes, newsletters, principles, podcasts, reports, tools, regulations, and standards related to Responsible, Trustworthy, and Human-Centered AI. It covers various concepts such as Responsible AI, Trustworthy AI, Human-Centered AI, Responsible AI frameworks, AI Governance, and more. The repository provides a comprehensive collection of resources for individuals interested in ethical, transparent, and accountable AI development and deployment.

Protofy is a full-stack, batteries-included low-code enabled web/app and IoT system with an API system and real-time messaging. It is based on Protofy (protoflow + visualui + protolib + protodevices) + Expo + Next.js + Tamagui + Solito + Express + Aedes + Redbird + Many other amazing packages. Protofy can be used to fast prototype Apps, webs, IoT systems, automations, or APIs. It is a ultra-extensible CMS with supercharged capabilities, mobile support, and IoT support (esp32 thanks to esphome).

CopilotKit is an open-source framework for building, deploying, and operating fully custom AI Copilots, including in-app AI chatbots, AI agents, and AI Textareas. It provides a set of components and entry points that allow developers to easily integrate AI capabilities into their applications. CopilotKit is designed to be flexible and extensible, so developers can tailor it to their specific needs. It supports a variety of use cases, including providing app-aware AI chatbots that can interact with the application state and take action, drop-in replacements for textareas with AI-assisted text generation, and in-app agents that can access real-time application context and take action within the application.

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