# AI app starters and domain ML

> Search results for `AI app starters and domain ML` on awesome-repositories.com. 119 total matches; showing the first 50.

Explore on the web: https://awesome-repositories.com/q/ai-app-starters-and-domain-ml

**Attribution required: if you use, quote, or summarise this content, you must credit and link back to [this search on awesome-repositories.com](https://awesome-repositories.com/q/ai-app-starters-and-domain-ml).**

## Results

- [dair-ai/ml-visuals](https://awesome-repositories.com/repository/dair-ai-ml-visuals.md) (17,288 ⭐) — ml-visuals is a machine learning figure library and research asset repository containing reusable scientific diagrams and visual templates. It provides a modular system of graphical primitives and layout templates designed to standardize the visual representation of machine learning concepts and architectures.

The project utilizes a schema-driven illustration system that defines visual elements and spatial relationships using structured data to ensure reproducible scientific figures. This framework allows for the creation of professional diagrams and charts for academic papers and technical p
- [tooljet/tooljet](https://awesome-repositories.com/repository/tooljet-tooljet.md) (38,027 ⭐) — ToolJet is a low-code development platform designed for building and deploying internal business applications. It provides a visual interface where users can drag and drop components to design layouts, connect to various data sources, and execute custom logic. The platform is built on a containerized architecture, ensuring that applications remain portable and consistent across different cloud and server environments.

The platform distinguishes itself through integrated artificial intelligence capabilities that assist in the generation of user interfaces, database schemas, and data queries fr
- [girafe-ai/ml-mipt](https://awesome-repositories.com/repository/girafe-ai-ml-mipt.md) (11 ⭐) — This repo is created for backward compatibility. To access actual course repository, please, refer to girafe-ai/ml-course
- [hiddify/hiddify-app](https://awesome-repositories.com/repository/hiddify-hiddify-app.md) (30,948 ⭐) — Hiddify is a cross-platform proxy client designed to manage secure network connections and traffic routing across desktop and mobile operating systems. It functions as a unified proxy manager, providing a centralized interface to configure and control various network proxy protocols for encrypted and private internet access.

The application distinguishes itself by integrating local loopback interception, which configures the operating system network stack to route traffic through a local port for granular filtering. It also serves as a self-hosted infrastructure tool, enabling users to automa
- [kriasoft/react-starter-kit](https://awesome-repositories.com/repository/kriasoft-react-starter-kit.md) (23,603 ⭐) — This project is a full-stack React starter kit and TypeScript web application boilerplate. It provides a pre-configured project template that combines a frontend and backend to accelerate the development of production-ready web applications.

The kit is distinguished by its focus on type-safe architectures, utilizing a monorepo structure to synchronize data types between the server and client. It integrates specific implementations for SaaS operations, including recurring subscription billing via Stripe and user identity authentication supporting passkeys, social logins, and email verification
- [nutlope/llamacoder](https://awesome-repositories.com/repository/nutlope-llamacoder.md) (6,975 ⭐) — Llamacoder is an AI-powered web application generator that transforms natural language prompts into functional application prototypes. It uses large language models to synthesize code and layouts, enabling the creation of small-scale software and interactive user interfaces from text descriptions.

The project specifically leverages the Llama 3.1 405B model to produce executable React components. It provides a self-hosted environment for generating and previewing interactive code artifacts, featuring a real-time preview loop and sandboxed component rendering to safely display generated interfa
- [zama-ai/concrete-ml](https://awesome-repositories.com/repository/zama-ai-concrete-ml.md) (1,437 ⭐) — Concrete ML: Privacy Preserving ML framework using Fully Homomorphic Encryption (FHE), built on top of Concrete, with bindings to traditional ML frameworks.
- [nocobase/nocobase](https://awesome-repositories.com/repository/nocobase-nocobase.md) (21,542 ⭐) — This platform is a modular, metadata-driven framework designed for building custom business applications and data management systems without traditional coding. It functions as a low-code environment where data models, user interfaces, and business logic are defined through visual configurations rather than hardcoded views. The architecture supports multi-tenant isolation, allowing multiple independent applications to run within a single shared memory space while maintaining strict logical separation of data and configurations.

What distinguishes this system is its deep integration of artific
- [dair-ai/ml-papers-explained](https://awesome-repositories.com/repository/dair-ai-ml-papers-explained.md) (8,569 ⭐) — Explanation to key concepts in ML
- [allegroai/clearml](https://awesome-repositories.com/repository/allegroai-clearml.md) (6,733 ⭐) — ClearML is a comprehensive MLOps platform designed to manage the entire machine learning lifecycle. It functions as an experiment tracking tool, a data versioning system, and a pipeline orchestrator, while providing infrastructure for GPU cluster management and model serving.

The platform is distinguished by its ability to handle hybrid-cloud compute scheduling and fractional GPU allocation, allowing multiple workloads to share a single hardware accelerator. It employs a metadata-based approach to data versioning, using virtual views to track large datasets and artifacts without duplicating r
- [clearml/clearml](https://awesome-repositories.com/repository/clearml-clearml.md) (6,740 ⭐) — ClearML is a comprehensive MLOps platform designed to manage the end-to-end machine learning lifecycle, from initial experimentation to production deployment. It provides a suite of integrated tools including a pipeline orchestrator for automating workflows, an experiment tracking tool for logging hyperparameters and metrics, and a metadata-driven data versioning system for managing large-scale datasets and model artifacts.

The platform is distinguished by its advanced compute management and serving capabilities. It features a GPU compute manager that supports fractional resource slicing and
- [reconned/domained](https://awesome-repositories.com/repository/reconned-domained.md) (722 ⭐) — A domain name enumeration tool
- [insforge/insforge](https://awesome-repositories.com/repository/insforge-insforge.md) (11,794 ⭐) — InsForge is a backend-as-a-service platform that provides an integrated suite of tools for managing relational databases, identity provision, object storage, and serverless compute. It functions as an open-source identity provider and a PostgreSQL database manager featuring integrated vector storage and row-level security.

The platform serves as an LLM orchestration gateway, offering a unified endpoint to route requests across various AI providers through an OpenAI-compatible interface. It enables AI-driven application generation and connects AI agents to backend resources using a standardize
- [paulescu/hands-on-train-and-deploy-ml](https://awesome-repositories.com/repository/paulescu-hands-on-train-and-deploy-ml.md) (885 ⭐) — Train and Deploy an ML REST API to predict crypto prices, in 10 steps
- [keploy/keploy](https://awesome-repositories.com/repository/keploy-keploy.md) (17,622 ⭐) — Keploy is an automated testing platform that leverages kernel-level traffic interception to generate and maintain regression test suites for microservices. By capturing live network traffic and system calls via eBPF, the platform automatically creates deterministic test cases and mocks external dependencies without requiring manual code instrumentation. This approach allows developers to validate application behavior and API contracts by replaying production-like traffic in isolated environments.

The platform distinguishes itself through its use of machine learning to perform test maintenance
- [mastra-ai/mastra](https://awesome-repositories.com/repository/mastra-ai-mastra.md) (21,221 ⭐) — Mastra is an orchestration framework designed for building, deploying, and managing autonomous AI agents and multi-agent systems. It provides a comprehensive suite of primitives for creating resilient AI applications, including durable workflow orchestration, event-driven agent loops, and semantic memory management. By integrating these core components, the platform enables developers to build complex, multi-step processes that can reason about goals and execute tasks without manual intervention.

The framework distinguishes itself through its focus on observability and secure, isolated execut
- [mindsdb/minds-platform](https://awesome-repositories.com/repository/mindsdb-minds-platform.md) (39,316 ⭐) — Minds Platform is an automation system and application platform designed for building and deploying custom AI tools and workflows. It functions as a machine learning integration layer and self-hosted orchestrator that connects predictive models and large language models to external data sources.

The platform enables the execution of multi-step tasks that read and write data to automate reports and operational activities. It supports deployment across cloud, on-premises, and virtual private cloud environments to maintain control over models and data.

Capabilities include event-driven workflow
- [apple/ml-fastvlm](https://awesome-repositories.com/repository/apple-ml-fastvlm.md) (7,375 ⭐) — This project is a vision language model framework and vision-to-text pipeline designed for deploying and optimizing models that process both images and text. It provides an on-device inference engine and a vision language model framework to run quantized models locally on mobile and desktop hardware accelerators.

The framework features a model quantization toolkit to reduce weight precision for lower memory footprints and increased execution speed on specialized silicon. It also includes an efficient vision encoder utilizing a hybrid encoding system to compress image tokens, which reduces pro
- [pewdiepie-archdaemon/odysseus](https://awesome-repositories.com/repository/pewdiepie-archdaemon-odysseus.md) (72,184 ⭐) — Odysseus is a self-hosted AI workspace and autonomous agent framework designed for deploying and managing large language models. It serves as a centralized platform for orchestrating agentic tasks, utilizing a model context protocol server to connect AI models to external system utilities, browser automation, and local hardware.

The system distinguishes itself through a combination of retrieval-augmented generation and a RAG knowledge base, using vector stores and local embeddings to provide persistent semantic memory. It further integrates AI-driven communication management to triage email i
- [machine-learning-apps/ml-template-azure](https://awesome-repositories.com/repository/machine-learning-apps-ml-template-azure.md) (131 ⭐) — Template for getting started with automated ML Ops on Azure Machine Learning
- [aadrianleo/ai-radio-app](https://awesome-repositories.com/repository/aadrianleo-ai-radio-app.md) (22 ⭐) — # AI Radio is an radio application with an AI assistant where you can command your application play song stop the song. search the radio song by categories by commands. AI assistant commands are made with the use of Alan AI. and Radio song and category are inputed from an Radio api links. This…
- [chainlit/chainlit](https://awesome-repositories.com/repository/chainlit-chainlit.md) (12,213 ⭐) — Chainlit is a Python framework designed for building and deploying interactive, stateful conversational AI interfaces. It provides a backend-driven platform that connects language models and agent frameworks to a web-based chat frontend, managing the complexities of session state, message history, and real-time communication.

The framework distinguishes itself by offering a component-based UI builder that allows developers to inject interactive widgets, rich media, and data visualizations directly into the chat stream. It supports the visualization of complex agent workflows, enabling users t
- [langchain-ai/langchainjs](https://awesome-repositories.com/repository/langchain-ai-langchainjs.md) (17,818 ⭐) — LangChain.js is a framework for building, executing, and monitoring stateful agentic applications. It provides an orchestration engine that models workflows as directed graphs, allowing developers to connect language models, data sources, and external tools into modular, multi-step processes.

The platform distinguishes itself through its focus on stateful execution and human-in-the-loop control. It manages agent lifecycles by persisting execution state across threads, enabling fault tolerance and the ability to pause workflows at designated breakpoints for manual review or modification. This
- [11ty/eleventy](https://awesome-repositories.com/repository/11ty-eleventy.md) (19,670 ⭐) — Eleventy is a JavaScript-based static site generator designed to transform templates, data files, and markdown into optimized HTML. It functions as a versatile template rendering engine and content management framework, allowing developers to aggregate data from diverse sources—including local files, databases, and external APIs—to populate structured web content.

The project is distinguished by its template-engine-agnostic pipeline, which decouples the build process from specific rendering languages. This allows users to integrate multiple template formats, such as Liquid, Nunjucks, Handleba
- [gwen001/related-domains](https://awesome-repositories.com/repository/gwen001-related-domains.md) (105 ⭐) — Find related domains of a given domain.
- [awesome-selfhosted/awesome-selfhosted](https://awesome-repositories.com/repository/awesome-selfhosted-awesome-selfhosted.md) (299,516 ⭐) — This project is a community-curated directory of open-source software designed for deployment in private server environments and home labs. It serves as a comprehensive resource for discovering independent, self-hosted alternatives to mainstream cloud services, enabling users to maintain full data ownership and control over their digital infrastructure.

The directory is structured through a hierarchical taxonomy that organizes a vast collection of applications into logical categories, ranging from media management and data analytics to private communication and team productivity tools. It dis
- [mcnamee/react-native-starter-app](https://awesome-repositories.com/repository/mcnamee-react-native-starter-app.md) (3,364 ⭐) — :rocket: A React Native boilerplate app to get you up and running very, very quickly :rocket:
- [cinnamon/kotaemon](https://awesome-repositories.com/repository/cinnamon-kotaemon.md) (25,139 ⭐) — Kotaemon is an orchestration framework designed for building modular, agentic workflows that integrate document processing, retrieval-augmented generation, and multi-step reasoning. It provides a comprehensive platform for developing document-based question answering systems, allowing users to chain language models, prompt templates, and external tools into complex, automated pipelines.

The system distinguishes itself through a highly modular architecture that emphasizes component-based composition and schema-driven data exchange. It supports autonomous agents capable of decomposing complex q
- [dokploy/dokploy](https://awesome-repositories.com/repository/dokploy-dokploy.md) (34,901 ⭐) — Dokploy is a self-hosted platform-as-a-service designed to simplify the deployment and management of containerized applications and databases. It provides a centralized control plane that decouples administrative management from application workloads, allowing users to oversee infrastructure across multiple server nodes through a unified web interface or a command-line tool.

The platform distinguishes itself through an extensive library of pre-configured application templates, enabling the rapid deployment of databases, identity providers, and various productivity or development tools. It sup
- [berriai/litellm](https://awesome-repositories.com/repository/berriai-litellm.md) (50,579 ⭐) — LiteLLM is a unified gateway and proxy server designed to centralize access to over one hundred language model providers. It provides a standardized API interface that abstracts vendor-specific schemas, allowing developers to interact with diverse models through a single, consistent format. By acting as a central traffic management layer, it enables organizations to route, secure, and govern model interactions across multiple deployments.

The platform distinguishes itself through its policy-driven architecture, which uses configuration-based routing to manage traffic distribution, load balanc
- [aws/aws-cdk](https://awesome-repositories.com/repository/aws-aws-cdk.md) (12,817 ⭐) — The AWS Cloud Development Kit is an infrastructure-as-code framework that enables developers to define and provision cloud resources using familiar programming languages. By utilizing construct-based synthesis, it translates high-level, object-oriented code into declarative templates, allowing for the automated management of complex cloud environments through a centralized, code-driven control plane.

The framework distinguishes itself through its ability to model infrastructure as a dependency-aware resource graph, ensuring that components are provisioned and updated in the correct order. It
- [cross-domain-compositing/cross-domain-compositing](https://awesome-repositories.com/repository/cross-domain-compositing-cross-domain-compositing.md) (186 ⭐) — This is the official implementation of Cross-domain Compositing (CDC), a local, inference-time, image editing method which utilizes pretrained diffusion models for image compositing in various domains. We base our method on previous work in global image editing in inference-time, and propose a…
- [nolly-studio/cult-ui](https://awesome-repositories.com/repository/nolly-studio-cult-ui.md) (3,286 ⭐) — Cult-UI is an AI application UI kit and a collection of accessible components and templates designed for building large language model powered interfaces and agent workflows. It provides a foundation for developing AI applications, including specialized interface libraries for retrieval-augmented generation and agent orchestration.

The project distinguishes itself through dedicated UI building blocks for coordinating multi-agent systems, evaluator-optimizer loops, and tool-based execution flows. It also features a component installation CLI and model context protocols for rapidly integrating
- [fosrl/pangolin](https://awesome-repositories.com/repository/fosrl-pangolin.md) (21,255 ⭐) — Pangolin is a zero-trust remote access platform designed to provide secure, identity-aware connectivity to private network resources. It functions as a cloud-native network controller that orchestrates encrypted tunnels, traffic routing, and access policies across distributed environments. By leveraging WireGuard for secure data transport, the platform enables authenticated access to internal web applications, terminal sessions, and remote desktops without exposing services to the public internet.

The platform distinguishes itself through a declarative infrastructure model that synchronizes n
- [dair-ai/ml-course-notes](https://awesome-repositories.com/repository/dair-ai-ml-course-notes.md) (6,606 ⭐) — A place to collaborate and share lecture notes on all topics related to machine learning, NLP, and AI.
- [rohitg00/awesome-ai-apps](https://awesome-repositories.com/repository/rohitg00-awesome-ai-apps.md) (723 ⭐) — This project serves as a curated directory and resource hub for developers working with generative artificial intelligence. It provides a comprehensive index of open-source software solutions, frameworks, and project examples designed to help users discover and implement advanced AI systems.

The repository focuses on practical implementations of agentic, multimodal, and retrieval-augmented generation architectures. It highlights tools for building conversational assistants, voice-enabled agents, and automated workflows that leverage large language models. By showcasing diverse technical domai
- [vercel-labs/ai](https://awesome-repositories.com/repository/vercel-labs-ai.md) (24,918 ⭐) — This project is a TypeScript SDK and application framework for integrating large language models into software. It provides a unified interface and multi-provider model wrapper to interact with various AI model providers through a single, consistent API.

The toolkit includes a generative UI framework and an AI agent orchestrator. These tools enable the creation of autonomous agents capable of executing functions and the development of AI-driven user interfaces with specialized state management for streaming chatbot components.

The framework covers broad capability areas including stream-base
- [eugeneyan/applied-ml](https://awesome-repositories.com/repository/eugeneyan-applied-ml.md) (29,783 ⭐) — This project is a comprehensive, curated knowledge base designed to support the development and maintenance of production-grade machine learning systems. It serves as a centralized repository of industry-standard technical literature, engineering case studies, and research papers, providing a structured reference for practitioners navigating the complexities of modern data science and machine learning engineering.

The resource distinguishes itself through a cross-domain approach that bridges the gap between academic research and practical implementation. By synthesizing proven industry archit
- [runcycles/cycles-spring-ai-starter](https://awesome-repositories.com/repository/runcycles-cycles-spring-ai-starter.md) (0 ⭐) — Spring AI advisor + auto-configuration that adds budget enforcement to ChatClient invocations. Integrates with the Cycles Protocol for runtime authority over LLM spend, multi-tenant agent governance, and tamper-evident audit. Built for production Spring AI applications that need to gate LLM…
- [dragonflydb/dragonfly](https://awesome-repositories.com/repository/dragonflydb-dragonfly.md) (30,688 ⭐) — Dragonfly is a high-performance, multi-model in-memory data store designed to serve as a drop-in replacement for existing database infrastructures. By utilizing a multi-threaded, shared-nothing architecture and a fiber-based concurrency model, it maximizes CPU utilization and minimizes latency for read and write operations. The system supports a wide range of data structures, including strings, hashes, lists, sets, sorted sets, and JSON documents, while maintaining full compatibility with standard industry wire protocols and client libraries.

What distinguishes Dragonfly is its focus on effic
- [boto/boto3](https://awesome-repositories.com/repository/boto-boto3.md) (9,834 ⭐) — Boto3 is the AWS SDK for Python, providing a programmatic interface for managing and automating AWS cloud infrastructure and services. It serves as a cloud management API client and resource manager for provisioning, configuring, and scaling virtual servers, databases, and storage.

The library enables the implementation of infrastructure-as-code through declarative templates and scripts, allowing for the deployment of identical resource stacks across multiple accounts and geographic regions. It also provides a framework for coordinating distributed workflows, serverless functions, and contain
- [imadelh/ml-web-app](https://awesome-repositories.com/repository/imadelh-ml-web-app.md) (0 ⭐)
- [garrytan/gstack](https://awesome-repositories.com/repository/garrytan-gstack.md) (110,596 ⭐) — gstack is an AI agent framework and development workflow system designed to automate the software development lifecycle. It coordinates specialized AI personas to manage tasks across product design, engineering management, and quality assurance, transforming product intent into technical specifications and final releases.

The project is distinguished by its deep integration of headless browser automation and semantic code memory. It utilizes a persistent Chromium daemon for web scraping and visual auditing, and implements a searchable knowledge base that logs architectural decisions and repos
- [labring/fastgpt](https://awesome-repositories.com/repository/labring-fastgpt.md) (27,132 ⭐) — FastGPT is a comprehensive platform for building, deploying, and managing context-aware artificial intelligence applications. It provides a unified environment that integrates custom data sources with language models, utilizing a retrieval-augmented generation engine to ground responses in accurate, domain-specific information. The system is designed for enterprise-scale use, featuring multi-tenant architecture, administrative controls, and secure authentication protocols including OAuth 2.0 and custom single sign-on integration.

The platform distinguishes itself through a visual, node-based
- [xiaolincoder/cs-base](https://awesome-repositories.com/repository/xiaolincoder-cs-base.md) (18,024 ⭐) — CS-Base is a comprehensive educational platform and technical repository designed to support software engineers in mastering backend architecture, artificial intelligence engineering, and career development. It functions as a centralized knowledge hub that combines illustrated theoretical tutorials with practical, project-based learning to bridge the gap between foundational computer science concepts and professional industry requirements.

The project distinguishes itself by integrating a robust career mentorship framework with advanced AI engineering resources. It provides users with tools f
- [fullstackhero/dotnet-starter-kit](https://awesome-repositories.com/repository/fullstackhero-dotnet-starter-kit.md) (6,580 ⭐) — This project is a production-ready starter kit and boilerplate for building multi-tenant software-as-a-service applications using .NET and React. It provides a multi-tenant application framework and a cloud-native infrastructure kit designed to support scalable cloud services.

The project distinguishes itself through a modular monolith architecture that organizes business logic into isolated bounded contexts to prevent code entanglement. It implements comprehensive SaaS identity management, including role-based access control, account impersonation, and strict tenant data isolation across the
- [genieincodebottle/generative-ai](https://awesome-repositories.com/repository/genieincodebottle-generative-ai.md) (0 ⭐) — I built AI-ML Companion - every AI, ML, GenAI and Agentic AI concept covered here, taught visually with animated diagrams, quizzes, and hands-on Python.
- [mikolaj-jankowski/clean-architecture-and-domain-driven-design-solution-template](https://awesome-repositories.com/repository/mikolaj-jankowski-clean-architecture-and-domain-driven-design-solution-template.md) (285 ⭐) — Clean Architecture and Domain Driven Design Template
- [home-assistant/core](https://awesome-repositories.com/repository/home-assistant-core.md) (87,753 ⭐) — Home Assistant is a centralized home automation platform designed to orchestrate diverse internet-connected devices and services. It functions as a local-first control system that normalizes heterogeneous hardware protocols into a unified set of entities, attributes, and services. The core architecture relies on an event-driven state bus and a modular integration model, allowing the system to manage state changes and communicate across decoupled components through standardized interfaces.

The platform distinguishes itself through a highly flexible, declarative configuration framework that all
- [jack-cherish/pythonpark](https://awesome-repositories.com/repository/jack-cherish-pythonpark.md) (11,218 ⭐) — PythonPark is a comprehensive repository serving as a centralized educational resource for mastering Python programming, machine learning, and artificial intelligence. It functions as a structured curriculum that aggregates study materials, coding challenges, and technical roadmaps designed to guide developers through foundational software engineering concepts and advanced intelligence technologies.

The project distinguishes itself by providing hands-on implementation guides that allow users to execute artificial intelligence models directly on their local hardware. By focusing on local execu
