Deployment 9
A computer vision platform for building and deploying models with automated tools.
Roboflow is a computer vision platform designed for developers and enterprises. It provides tools to build and deploy computer vision models, including automated annotation, model training infrastructure, and deployment solutions. The platform supports various industries and use cases, offering features like data curation, collaborative labeling, model evaluation, and edge deployment. Roboflow aims to accelerate computer vision roadmaps with best-in-class tooling and expert guidance.
AI community platform for open-source ML models, datasets, and applications.
Hugging Face is an AI community building the future through open source and open science. It provides a platform where the machine learning community collaborates on models, datasets, and applications. Hugging Face offers tools for creating, discovering, and collaborating on ML projects, including hosting unlimited models, datasets, and applications. It also provides paid Compute and Enterprise solutions to accelerate ML development.
Online IDE for coding, collaboration, and deployment with AI assistance.
Replit is an online IDE, compiler, and interpreter that allows users to write and run code in over 50 languages directly in their browser. It offers features like AI-powered code completion (Ghostwriter), real-time collaboration, deployments, and tools for building apps and websites. Replit aims to make programming accessible to everyone, enabling users to turn their ideas into apps quickly and easily.
A platform for fast inference of generative AI models, including fine-tuning and deployment.
Fireworks AI is a platform designed to provide the fastest inference for generative AI models. It allows users to utilize state-of-the-art, open-source LLMs and image models at high speeds. Users can fine-tune and deploy their own models at no additional cost. The platform offers a range of tools and infrastructure to build and deploy generative AI applications, including model APIs, customization options, and compound AI systems.
Web-based workspace for full-stack app development with AI and cloud emulators.
Firebase Studio is an entirely web-based workspace for full-stack application development, complete with the latest generative AI from Gemini, and full-fidelity app previews, powered by cloud emulators. It accelerates your entire development lifecycle with AI agents, allowing you to build backends, front ends, and mobile apps, all in one place.
Open-source framework for building and managing ML, AI, and data science projects.
Metaflow is an open-source framework originally developed at Netflix for building and managing real-life ML, AI, and data science projects. It allows data scientists and ML/AI engineers to develop, debug, and deploy workflows in plain Python, leveraging cloud resources for scalable compute and data access. Metaflow integrates seamlessly with existing infrastructure, security, and data governance policies, supporting deployment on AWS, Azure, Google Cloud, and Kubernetes.
Open-source AI organization focusing on engineering implementation of AI models.
RapidAI is an open-source organization dedicated to bridging the gap between AI models in academia and practical engineering applications. It focuses on the engineering implementation of AI technologies, including computer vision, natural language processing, and speech, without training models but applying them effectively. RapidAI aims to provide simple, effective, and ready-to-use solutions to lower the barrier to AI adoption.
A comprehensive wiki for Computer Vision concepts, tasks, models, and implementation.
CloudFactory's Computer Vision Wiki offers a comprehensive exploration of Computer Vision (CV), a subdomain of Machine Learning (ML). It provides practical application of key concepts within core tasks like Image Classification, Object Detection, and more. The Wiki includes descriptions, explanations, practical contexts, code examples, and links for further theoretical understanding. It aims to equip users with the knowledge needed to implement these concepts in their projects.
Platform for designing, testing, and deploying prompts for LLMs with automated testing and evaluation.
PromptPoint is a platform designed to streamline the process of designing, testing, and deploying prompts for Large Language Models (LLMs). It aims to enhance prompt engineering by providing tools for automatic testing and output evaluation, ensuring high-quality LLM outputs. The platform allows users to create, organize, and version prompts, run automated tests, and deploy them for use in software applications. It also offers a no-code interface, making it accessible to non-engineers.
