The Postgres development platform. Supabase gives you a dedicated Postgres database to build your web, mobile, and AI applications.
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The job search that runs on your machine. AI job application framework built on Claude Code: evaluate postings, tailor CVs, write cover letters, prep interviews. Fork it and own it.
- ai
- ai-agents
- career
- claude-code
A lightning-fast search engine API bringing AI-powered hybrid search to your sites and applications.
- search-engine
- typo-tolerance
- site-search
- database
Complete API layer for private AI applications on local models: RAG, skills, tools, MCP, text-to-sql, and more. Works with any OpenAI-compatible inference server.
❄️ ChatGPT Desktop Application (Mac, Windows and Linux)
Learn how to develop, deploy and iterate on production-grade ML applications.
In-depth tutorials on LLMs, RAGs and real-world AI agent applications.
ShareX is a free and open-source application that enables users to capture or record any area of their screen with a single keystroke. It also supports uploading images, text, and various file types to a wide range of destinations.
- screen-capture
- screen-recorder
- file-sharing
- file-upload
A free, open source, and extensible speech-to-text application that works completely offline.
- speech-to-text
- tauri-v2
- accessibility
- cross-platform
FinceptTerminal is a modern finance application offering advanced market analytics, investment research, and economic data tools, designed for interactive exploration and data-driven decision-making in a user-friendly environment.
- bloomberg-terminal
- finance
- financial-markets
- investment
Mastra is the modern TypeScript framework for AI-powered applications and agents.
The open source AI engineering platform for agents, LLMs, and ML models. MLflow enables teams of all sizes to debug, evaluate, monitor, and optimize production-quality AI applications while controlling costs and managing access to models and data.
- machine-learning
- ai
- ml
- mlflow
The AI Toolkit for TypeScript. From the creators of Next.js, the AI SDK is a free open-source library for building AI-powered applications and agents
- artificial-intelligence
- javascript
- language-model
- llm
Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit control over retrieval, routing, memory, and generation. Built for scalable agents, RAG, multimodal applications, semantic search, and conversational systems.
- semantic-search
- information-retrieval
- ai
- python
☁️ Build multimodal AI applications with cloud-native stack
- neural-search
- cloud-native
- deep-learning
- machine-learning
Turns Data and AI algorithms into production-ready web applications in no time.
A toolkit for making real world machine learning and data analysis applications in C++
- machine-learning
- deep-learning
- c-plus-plus
- python
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
- transferlearning
- domain-adaptation
- transfer-learning
- survey
[MLsys2026 Best Paper]: https://arxiv.org/abs/2506.08276. RAG on Everything with LEANN. Enjoy 97% storage savings while running a fast, accurate, and 100% private RAG application on your personal device.
The ultimate LLM/AI application development framework in Go.
- ai
- langchaingo
- ai-application
- llm-application
LangChain4j is an idiomatic, open-source Java library for building LLM-powered applications on the JVM. It offers a unified API over popular LLM providers and vector stores, and makes implementing tool calling (including MCP support), agents and RAG easy. It integrates seamlessly with enterprise Java frameworks like Quarkus and Spring Boot.
BISHENG is an open LLM devops platform for next generation Enterprise AI applications. Powerful and comprehensive features include: GenAI workflow, RAG, Agent, Unified model management, Evaluation, SFT, Dataset Management, Enterprise-level System Management, Observability and more.
Build high-quality LLM apps - from prototyping, testing to production deployment and monitoring.
This repository contains a curated collection of 300+ case studies from over 80 companies, detailing practical applications and insights into machine learning (ML) system design. The contents are organized to help you easily find relevant case studies based on industry or specific ML use cases.