Best AI tools for< Prototype Ml Applications >
20 - AI tool Sites
![SiMa.ai Screenshot](/screenshots/sima.ai.jpg)
SiMa.ai
SiMa.ai is an AI application that offers high-performance, power-efficient, and scalable edge machine learning solutions for various industries such as automotive, industrial, healthcare, drones, and government sectors. The platform provides MLSoC™ boards, DevKit 2.0, Palette Software 1.2, and Edgematic™ for developers to accelerate complete applications and deploy AI-enabled solutions. SiMa.ai's Machine Learning System on Chip (MLSoC) enables full-pipeline implementations of real-world ML solutions, making it a trusted platform for edge AI development.
![JFrog ML Screenshot](/screenshots/qwak.ai.jpg)
JFrog ML
JFrog ML is an AI platform designed to streamline AI development from prototype to production. It offers a unified MLOps platform to build, train, deploy, and manage AI workflows at scale. With features like Feature Store, LLMOps, and model monitoring, JFrog ML empowers AI teams to collaborate efficiently and optimize AI & ML models in production.
![Code Companion AI Screenshot](/screenshots/codecompanion.ai.jpg)
Code Companion AI
Code Companion AI is a desktop application powered by OpenAI's ChatGPT, designed to aid by performing a myriad of coding tasks. This application streamlines project management with its chatbot interface that can execute shell commands, generate code, handle database queries and review your existing code. Tasks are as simple as sending a message - you could request creation of a .gitignore file, or deploy an app on AWS, and CodeCompanion.AI does it for you. Simply download CodeCompanion.AI from the website to enjoy all features across various programming languages and platforms.
![Lisapet.AI Screenshot](/screenshots/lisapet.ai.jpg)
Lisapet.AI
Lisapet.AI is an AI prompt testing suite designed for product teams to streamline the process of designing, prototyping, testing, and shipping AI features. It offers a comprehensive platform with features like best-in-class AI playground, variables for dynamic data inputs, structured outputs, side-by-side editing, function calling, image inputs, assertions & metrics, performance comparison, data sets organization, shareable reports, comments & feedback, token & cost stats, and more. The application aims to help teams save time, improve efficiency, and ensure the reliability of AI features through automated prompt testing.
![Mockitt Screenshot](/screenshots/mockitt.wondershare.com.jpg)
Mockitt
Mockitt is an all-in-one online design, prototyping, and collaboration platform that empowers UI/UX designers to create interactive and animated prototypes, flowcharts, and mind maps. With its AI-powered features, such as AI Prototype Generator, AI Component Generator, and Magic Fill, Mockitt helps designers significantly elevate their efficiency and unlock new possibilities. Mockitt also offers a wide range of built-in templates, components, and resources, making it easy for anyone to bring their ideas to life. Additionally, Mockitt's real-time collaboration features enable designers to share, edit, and comment on projects simultaneously, ensuring everyone is on the same page.
![Blitzware Screenshot](/screenshots/blitzware.ai.jpg)
Blitzware
Blitzware is an AI-powered platform that empowers enterprises to build bespoke software solutions. Operating as a collaborative hub, Blitzware's autonomous studios specialize in various app categories, delivering cutting-edge digital solutions through fullstack development, mobile development, AI & Data Science, and Cloud & DevOps services. The platform also offers creative services such as UI/UX design, art direction, illustration, branding, and product management. With a client-centric approach, Blitzware prioritizes client needs and feedback, delivering quick results and innovative solutions to propel businesses forward.
![Contentable.ai Screenshot](/screenshots/contentable.ai.jpg)
Contentable.ai
Contentable.ai is a platform for comparing multiple AI models, rapidly moving from prototyping to production, and management of your custom AI solutions across multiple vendors. It allows users to test multiple AI models in seconds, compare models side-by-side across top AI providers, collaborate on AI models with their team seamlessly, design complex AI workflows without coding, and pay as they go.
![Figma Screenshot](/screenshots/figma.com.jpg)
Figma
Figma is a collaborative interface design tool that allows design and development teams to work together on building great products. It offers features like design and prototyping in one place, collaborating with a digital whiteboard, translating designs into code, creating presentations, and exploring AI features. Figma helps streamline the product development process by providing tools for design systems, prototyping, UX design, web design, wireframing, and more. It aims to bring design and development teams together to create a seamless workflow and improve productivity.
![Lightning AI Screenshot](/screenshots/lightning.ai.jpg)
Lightning AI
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![Hubble Screenshot](/screenshots/hubble.team.jpg)
Hubble
Hubble is an all-in-one user research tool designed for continuous discovery in product development. It offers a wide range of features such as in-product research, usability testing, participant recruitment, and resources like guides and templates. Hubble empowers product teams to collect user insights at every stage of the development process, enabling them to make informed decisions and build better products.
![Magic Patterns Screenshot](/screenshots/magicpatterns.com.jpg)
Magic Patterns
Magic Patterns is an AI design tool that allows users to prototype product ideas, iterate on components and designs using an AI-native editor, and export to React or Figma. It enables users to generate new UI designs, add features to existing UIs, apply themes, and create UIs from prompts or images. Loved by software teams for its efficiency in designing, Magic Patterns streamlines the product development process by quickly transforming UI ideas into visually appealing designs.
![Lovable Screenshot](/screenshots/lovable.dev.jpg)
Lovable
Lovable is an AI-powered application that allows users to describe their software ideas in natural language and then automatically transforms them into fully functional applications with beautiful aesthetics. It enables users to build high-quality software without writing a single line of code, making software creation more accessible and faster than traditional coding methods. With features like live rendering, instant undo, beautiful design principles, and seamless GitHub integration, Lovable empowers product builders, developers, and designers to bring their ideas to life effortlessly.
![Fenado AI Screenshot](/screenshots/cades.dev.jpg)
Fenado AI
Fenado AI is an AI-powered platform that allows users to build apps and websites in minutes without the need for coding. Users can describe their ideas to the AI, chat with it to refine, and then publish with just one click. The platform offers instant prototypes, AI-powered creation, design assistance, business dashboard, and scalability for users to launch their startups quickly and efficiently.
![Fenado AI Screenshot](/screenshots/fenado.ai.jpg)
Fenado AI
Fenado AI is an AI-powered platform that enables users to build apps and websites in minutes without the need for coding. Users can describe their ideas to the AI, chat with it to refine the designs, and then publish with just one click. The platform offers instant prototypes, AI-powered creation, design assistance, business dashboard, and scalability for users to launch their startups quickly and efficiently.
![Symphony Screenshot](/screenshots/symphony.run.jpg)
Symphony
Symphony is a platform that allows users to write programs using natural language. It enables users to interact with the system by talking to it, making programming more accessible and intuitive. Symphony aims to simplify the process of coding by bridging the gap between human language and programming languages.
![Framer Screenshot](/screenshots/revspot.co.jpg)
Framer
Framer is a web development platform that allows users to create interactive prototypes and websites with ease. It provides a user-friendly interface for designing and publishing websites without the need for extensive coding knowledge. With Framer, users can bring their ideas to life by quickly prototyping and sharing their projects. The platform offers a range of templates and design tools to help users customize their websites to suit their needs. Framer is suitable for both beginners and experienced web developers looking to streamline their design process.
![UIGPT Feedback Screenshot](/screenshots/uigpt.dev.jpg)
UIGPT Feedback
UIGPT Feedback is an AI-powered tool for fast UI components prototyping and design. It allows users to generate stunning components with ease, saving time and effort in the design process.
![CreateApp.ai Screenshot](/screenshots/createapp.ai.jpg)
CreateApp.ai
CreateApp.ai is an AI-powered app development platform that allows users to develop apps in days, not months. It is trusted by leading companies and startup incubators. CreateApp.ai's first step towards its vision is CreatePrototype.ai, which allows users to describe their idea in plain English and build an app prototype in minutes. CreateApp.ai is coming soon, and users can sign up for early access. With CreateApp.ai, users can develop apps in plain English, without any tech knowledge required. CreateApp.ai takes care of everything, from app design and development to app maintenance. CreateApp.ai is the easiest way to build apps.
![deepset Screenshot](/screenshots/deepset.ai.jpg)
deepset
deepset is an AI platform that offers enterprise-level products and solutions for AI teams. It provides deepset Cloud, a platform built with Haystack, enabling fast and accurate prototyping, building, and launching of advanced AI applications. The platform streamlines the AI application development lifecycle, offering processes, tools, and expertise to move from prototype to production efficiently. With deepset Cloud, users can optimize solution accuracy, performance, and cost, and deploy AI applications at any scale with one click. The platform also allows users to explore new models and configurations without limits, extending their team with access to world-class AI engineers for guidance and support.
![OpenAI Sora Screenshot](/screenshots/www.openaisora.video.jpg)
OpenAI Sora
OpenAI Sora is a text-to-video model that can generate realistic and imaginative video scenes from text instructions. It's designed to simulate the physical world in motion, generating videos up to a minute long while maintaining visual quality and adhering to the user's prompt.
20 - Open Source AI Tools
![llm-app-stack Screenshot](/screenshots_githubs/a16z-infra-llm-app-stack.jpg)
llm-app-stack
LLM App Stack, also known as Emerging Architectures for LLM Applications, is a comprehensive list of available tools, projects, and vendors at each layer of the LLM app stack. It covers various categories such as Data Pipelines, Embedding Models, Vector Databases, Playgrounds, Orchestrators, APIs/Plugins, LLM Caches, Logging/Monitoring/Eval, Validators, LLM APIs (proprietary and open source), App Hosting Platforms, Cloud Providers, and Opinionated Clouds. The repository aims to provide a detailed overview of tools and projects for building, deploying, and maintaining enterprise data solutions, AI models, and applications.
![awesome-mlops Screenshot](/screenshots_githubs/kelvins-awesome-mlops.jpg)
awesome-mlops
Awesome MLOps is a curated list of tools related to Machine Learning Operations, covering areas such as AutoML, CI/CD for Machine Learning, Data Cataloging, Data Enrichment, Data Exploration, Data Management, Data Processing, Data Validation, Data Visualization, Drift Detection, Feature Engineering, Feature Store, Hyperparameter Tuning, Knowledge Sharing, Machine Learning Platforms, Model Fairness and Privacy, Model Interpretability, Model Lifecycle, Model Serving, Model Testing & Validation, Optimization Tools, Simplification Tools, Visual Analysis and Debugging, and Workflow Tools. The repository provides a comprehensive collection of tools and resources for individuals and teams working in the field of MLOps.
![ai-dev-2024-ml-workshop Screenshot](/screenshots_githubs/RamiKrispin-ai-dev-2024-ml-workshop.jpg)
ai-dev-2024-ml-workshop
The 'ai-dev-2024-ml-workshop' repository contains materials for the Deploy and Monitor ML Pipelines workshop at the AI_dev 2024 conference in Paris, focusing on deployment designs of machine learning pipelines using open-source applications and free-tier tools. It demonstrates automating data refresh and forecasting using GitHub Actions and Docker, monitoring with MLflow and YData Profiling, and setting up a monitoring dashboard with Quarto doc on GitHub Pages.
![AiTreasureBox Screenshot](/screenshots_githubs/superiorlu-AiTreasureBox.jpg)
AiTreasureBox
AiTreasureBox is a versatile AI tool that provides a collection of pre-trained models and algorithms for various machine learning tasks. It simplifies the process of implementing AI solutions by offering ready-to-use components that can be easily integrated into projects. With AiTreasureBox, users can quickly prototype and deploy AI applications without the need for extensive knowledge in machine learning or deep learning. The tool covers a wide range of tasks such as image classification, text generation, sentiment analysis, object detection, and more. It is designed to be user-friendly and accessible to both beginners and experienced developers, making AI development more efficient and accessible to a wider audience.
![AITreasureBox Screenshot](/screenshots_githubs/superiorlu-AITreasureBox.jpg)
AITreasureBox
AITreasureBox is a comprehensive collection of AI tools and resources designed to simplify and accelerate the development of AI projects. It provides a wide range of pre-trained models, datasets, and utilities that can be easily integrated into various AI applications. With AITreasureBox, developers can quickly prototype, test, and deploy AI solutions without having to build everything from scratch. Whether you are working on computer vision, natural language processing, or reinforcement learning projects, AITreasureBox has something to offer for everyone. The repository is regularly updated with new tools and resources to keep up with the latest advancements in the field of artificial intelligence.
![awesome-generative-ai-data-scientist Screenshot](/screenshots_githubs/business-science-awesome-generative-ai-data-scientist.jpg)
awesome-generative-ai-data-scientist
A curated list of 50+ resources to help you become a Generative AI Data Scientist. This repository includes resources on building GenAI applications with Large Language Models (LLMs), and deploying LLMs and GenAI with Cloud-based solutions.
![LLM-PowerHouse-A-Curated-Guide-for-Large-Language-Models-with-Custom-Training-and-Inferencing Screenshot](/screenshots_githubs/ghimiresunil-LLM-PowerHouse-A-Curated-Guide-for-Large-Language-Models-with-Custom-Training-and-Inferencing.jpg)
LLM-PowerHouse-A-Curated-Guide-for-Large-Language-Models-with-Custom-Training-and-Inferencing
LLM-PowerHouse is a comprehensive and curated guide designed to empower developers, researchers, and enthusiasts to harness the true capabilities of Large Language Models (LLMs) and build intelligent applications that push the boundaries of natural language understanding. This GitHub repository provides in-depth articles, codebase mastery, LLM PlayLab, and resources for cost analysis and network visualization. It covers various aspects of LLMs, including NLP, models, training, evaluation metrics, open LLMs, and more. The repository also includes a collection of code examples and tutorials to help users build and deploy LLM-based applications.
![awesome-ai Screenshot](/screenshots_githubs/hades217-awesome-ai.jpg)
awesome-ai
Awesome AI is a curated list of artificial intelligence resources including courses, tools, apps, and open-source projects. It covers a wide range of topics such as machine learning, deep learning, natural language processing, robotics, conversational interfaces, data science, and more. The repository serves as a comprehensive guide for individuals interested in exploring the field of artificial intelligence and its applications across various domains.
![GOLEM Screenshot](/screenshots_githubs/aimclub-GOLEM.jpg)
GOLEM
GOLEM is an open-source AI framework focused on optimization and learning of structured graph-based models using meta-heuristic methods. It emphasizes the potential of meta-heuristics in complex problem spaces where gradient-based methods are not suitable, and the importance of structured models in various problem domains. The framework offers features like structured model optimization, metaheuristic methods, multi-objective optimization, constrained optimization, extensibility, interpretability, and reproducibility. It can be applied to optimization problems represented as directed graphs with defined fitness functions. GOLEM has applications in areas like AutoML, Bayesian network structure search, differential equation discovery, geometric design, and neural architecture search. The project structure includes packages for core functionalities, adapters, graph representation, optimizers, genetic algorithms, utilities, serialization, visualization, examples, and testing. Contributions are welcome, and the project is supported by ITMO University's Research Center Strong Artificial Intelligence in Industry.
![garak Screenshot](/screenshots_githubs/leondz-garak.jpg)
garak
Garak is a free tool that checks if a Large Language Model (LLM) can be made to fail in a way that is undesirable. It probes for hallucination, data leakage, prompt injection, misinformation, toxicity generation, jailbreaks, and many other weaknesses. Garak's a free tool. We love developing it and are always interested in adding functionality to support applications.
![Awesome-TimeSeries-SpatioTemporal-LM-LLM Screenshot](/screenshots_githubs/qingsongedu-Awesome-TimeSeries-SpatioTemporal-LM-LLM.jpg)
Awesome-TimeSeries-SpatioTemporal-LM-LLM
Awesome-TimeSeries-SpatioTemporal-LM-LLM is a curated list of Large (Language) Models and Foundation Models for Temporal Data, including Time Series, Spatio-temporal, and Event Data. The repository aims to summarize recent advances in Large Models and Foundation Models for Time Series and Spatio-Temporal Data with resources such as papers, code, and data. It covers various applications like General Time Series Analysis, Transportation, Finance, Healthcare, Event Analysis, Climate, Video Data, and more. The repository also includes related resources, surveys, and papers on Large Language Models, Foundation Models, and their applications in AIOps.
![awesome-langchain Screenshot](/screenshots_githubs/kyrolabs-awesome-langchain.jpg)
awesome-langchain
LangChain is an amazing framework to get LLM projects done in a matter of no time, and the ecosystem is growing fast. Here is an attempt to keep track of the initiatives around LangChain. Subscribe to the newsletter to stay informed about the Awesome LangChain. We send a couple of emails per month about the articles, videos, projects, and tools that grabbed our attention Contributions welcome. Add links through pull requests or create an issue to start a discussion. Please read the contribution guidelines before contributing.
![awesome-production-llm Screenshot](/screenshots_githubs/jihoo-kim-awesome-production-llm.jpg)
awesome-production-llm
This repository is a curated list of open-source libraries for production large language models. It includes tools for data preprocessing, training/finetuning, evaluation/benchmarking, serving/inference, application/RAG, testing/monitoring, and guardrails/security. The repository also provides a new category called LLM Cookbook/Examples for showcasing examples and guides on using various LLM APIs.
![awesome-LLM-resourses Screenshot](/screenshots_githubs/WangRongsheng-awesome-LLM-resourses.jpg)
awesome-LLM-resourses
A comprehensive repository of resources for Chinese large language models (LLMs), including data processing tools, fine-tuning frameworks, inference libraries, evaluation platforms, RAG engines, agent frameworks, books, courses, tutorials, and tips. The repository covers a wide range of tools and resources for working with LLMs, from data labeling and processing to model fine-tuning, inference, evaluation, and application development. It also includes resources for learning about LLMs through books, courses, and tutorials, as well as insights and strategies from building with LLMs.
![awesome-generative-ai Screenshot](/screenshots_githubs/filipecalegario-awesome-generative-ai.jpg)
awesome-generative-ai
A curated list of Generative AI projects, tools, artworks, and models
![garak Screenshot](/screenshots_githubs/NVIDIA-garak.jpg)
garak
Garak is a vulnerability scanner designed for LLMs (Large Language Models) that checks for various weaknesses such as hallucination, data leakage, prompt injection, misinformation, toxicity generation, and jailbreaks. It combines static, dynamic, and adaptive probes to explore vulnerabilities in LLMs. Garak is a free tool developed for red-teaming and assessment purposes, focusing on making LLMs or dialog systems fail. It supports various LLM models and can be used to assess their security and robustness.
![ai-game-development-tools Screenshot](/screenshots_githubs/Yuan-ManX-ai-game-development-tools.jpg)
ai-game-development-tools
Here we will keep track of the AI Game Development Tools, including LLM, Agent, Code, Writer, Image, Texture, Shader, 3D Model, Animation, Video, Audio, Music, Singing Voice and Analytics. 🔥 * Tool (AI LLM) * Game (Agent) * Code * Framework * Writer * Image * Texture * Shader * 3D Model * Avatar * Animation * Video * Audio * Music * Singing Voice * Speech * Analytics * Video Tool
![Awesome-explainable-AI Screenshot](/screenshots_githubs/wangyongjie-ntu-Awesome-explainable-AI.jpg)
Awesome-explainable-AI
This repository contains frontier research on explainable AI (XAI), a hot topic in the field of artificial intelligence. It includes trends, use cases, survey papers, books, open courses, papers, and Python libraries related to XAI. The repository aims to organize and categorize publications on XAI, provide evaluation methods, and list various Python libraries for explainable AI.
20 - OpenAI Gpts
![Prototype Designer Screenshot](/screenshots_gpts/g-8qcanqUsu.jpg)
Prototype Designer
Generates a design for your prototype based on a short description. Ex. Bicycle umbrella
![Screen Shot to Code Screenshot](/screenshots_gpts/g-0fiJrSSdG.jpg)
Screen Shot to Code
This simple app converts a screenshot to code (HTML/Tailwind CSS, or React or Vue or Bootstrap). Upload your image, provide any additional instructions and say "Make it real!"
![UI/UX Replica GPT Screenshot](/screenshots_gpts/g-EBJwzKC6K.jpg)
UI/UX Replica GPT
Recreates UI designs from images with precise style and UX replication.
![Innovative Engineer Screenshot](/screenshots_gpts/g-PVHOMlLg5.jpg)
Innovative Engineer
Guides you from loose idea to detailed technical specifications to bring a physical product to life.