Aimeos headless distribution is an ultra-fast, cloud-native, and API-first headless ecommerce solution for Laravel. It offers a full-featured e-commerce package with features like JSON REST API, GraphQL API, multi-vendor support, subscriptions, block/tier pricing, admin backend, and more. The distribution is highly customizable, extensible, and suitable for multi-tenant e-commerce SaaS solutions. It supports multiple languages, AI-based text translation, and provides secure and high-quality source code. Aimeos is designed for AWS, Google, Azure, and Kubernetes based clouds, and can handle a wide range of products efficiently.

CatAI is a tool that allows users to run GGUF models on their computer with a chat UI. It serves as a local AI assistant inspired by Node-Llama-Cpp and Llama.cpp. The tool provides features such as auto-detecting programming language, showing original messages by clicking on user icons, real-time text streaming, and fast model downloads. Users can interact with the tool through a CLI that supports commands for installing, listing, setting, serving, updating, and removing models. CatAI is cross-platform and supports Windows, Linux, and Mac. It utilizes node-llama-cpp and offers a simple API for asking model questions. Additionally, developers can integrate the tool with node-llama-cpp@beta for model management and chatting. The configuration can be edited via the web UI, and contributions to the project are welcome. The tool is licensed under Llama.cpp's license.

Laminar is an all-in-one open-source platform designed for engineering AI products. It allows users to trace, evaluate, label, and analyze LLM data efficiently. The platform offers features such as automatic tracing of common AI frameworks and SDKs, local and online evaluations, simple UI for data labeling, dataset management, and scalability with gRPC communication. Laminar is built with a modern open-source stack including RabbitMQ, Postgres, Clickhouse, and Qdrant for semantic similarity search. It provides fast and beautiful dashboards for traces, evaluations, and labels, making it a comprehensive tool for AI product development.

Flo AI is a Python framework that enables users to build production-ready AI agents and teams with minimal code. It allows users to compose complex AI architectures using pre-built components while maintaining the flexibility to create custom components. The framework supports composable, production-ready, YAML-first, and flexible AI systems. Users can easily create AI agents and teams, manage teams of AI agents working together, and utilize built-in support for Retrieval-Augmented Generation (RAG) and compatibility with Langchain tools. Flo AI also provides tools for output parsing and formatting, tool logging, data collection, and JSON output collection. It is MIT Licensed and offers detailed documentation, tutorials, and examples for AI engineers and teams to accelerate development, maintainability, scalability, and testability of AI systems.

PandaAI is a Python platform that enables users to interact with their data in natural language, catering to both non-technical and technical users. It simplifies data querying and analysis, offering conversational data analytics capabilities with minimal code. Users can ask questions, visualize charts, and compare dataframes effortlessly. The tool aims to streamline data exploration and decision-making processes by providing a user-friendly interface for data manipulation and analysis.

Exosphere is an open source infrastructure designed to run AI agents at scale for large data and long running flows. It allows developers to define plug and playable nodes that can be run on a reliable backbone in the form of a workflow, with features like dynamic state creation at runtime, infinite parallel agents, persistent state management, and failure handling. This enables the deployment of production agents that can scale beautifully to build robust autonomous AI workflows.

TheoremExplainAgent is an AI system that generates long-form Manim videos to visually explain theorems, proving its deep understanding while uncovering reasoning flaws that text alone often hides. The codebase for the paper 'TheoremExplainAgent: Towards Multimodal Explanations for LLM Theorem Understanding' is available in this repository. It provides a tool for creating multimodal explanations for theorem understanding using AI technology.

AgentFly is an extensible framework for building LLM agents with reinforcement learning. It supports multi-turn training by adapting traditional RL methods with token-level masking. It features a decorator-based interface for defining tools and reward functions, enabling seamless extension and ease of use. To support high-throughput training, it implemented asynchronous execution of tool calls and reward computations, and designed a centralized resource management system for scalable environment coordination. A suite of prebuilt tools and environments are provided.

FastAPI-MCP is a zero-configuration tool that automatically exposes FastAPI endpoints as Model Context Protocol (MCP) tools. It allows for direct integration with FastAPI apps, automatic discovery and conversion of endpoints to MCP tools, preservation of request and response schemas, documentation preservation similar to Swagger, and the ability to extend with custom MCP tools. Users can easily add an MCP server to their FastAPI application and customize the server creation and configuration. The tool supports connecting to the MCP server using SSE or mcp-proxy stdio for different MCP clients. FastAPI-MCP is developed and maintained by Tadata Inc.

IntelliNode is a javascript module that integrates cutting-edge AI models like ChatGPT, LLaMA, WaveNet, Gemini, and Stable diffusion into projects. It offers functions for generating text, speech, and images, as well as semantic search, multi-model evaluation, and chatbot capabilities. The module provides a wrapper layer for low-level model access, a controller layer for unified input handling, and a function layer for abstract functionality tailored to various use cases.

LoLLMs Server is a text generation server based on large language models. It provides a Flask-based API for generating text using various pre-trained language models. This server is designed to be easy to install and use, allowing developers to integrate powerful text generation capabilities into their applications.

This repository contains custom Evilginx phishlets that are meticulously crafted and updated for real-world applications. It also offers an advanced course, EvilGoPhish Mastery, focusing on phishing and smishing techniques using EvilGoPhish 3.0. The course complements the repository by providing in-depth guidance on deploying these scripts for red team phishing and smishing campaigns.

Superagent is an open source framework that enables any developer to integrate production ready AI Assistants into any application in a matter of minutes.

Codefuse-ModelCache is a semantic cache for large language models (LLMs) that aims to optimize services by introducing a caching mechanism. It helps reduce the cost of inference deployment, improve model performance and efficiency, and provide scalable services for large models. The project facilitates sharing and exchanging technologies related to large model semantic cache through open-source collaboration.

Build fast and accurate GenAI applications with GraphRAG SDK, a specialized toolkit for building Graph Retrieval-Augmented Generation (GraphRAG) systems. It integrates knowledge graphs, ontology management, and state-of-the-art LLMs to deliver accurate, efficient, and customizable RAG workflows. The SDK simplifies the development process by automating ontology creation, knowledge graph agent creation, and query handling, enabling users to interact and query their knowledge graphs effectively. It supports multi-agent systems and orchestrates agents specialized in different domains. The SDK is optimized for FalkorDB, ensuring high performance and scalability for large-scale applications. By leveraging knowledge graphs, it enables semantic relationships and ontology-driven queries that go beyond standard vector similarity, enhancing retrieval-augmented generation capabilities.

Embodied Agents is a toolkit for integrating large multi-modal models into existing robot stacks with just a few lines of code. It provides consistency, reliability, scalability, and is configurable to any observation and action space. The toolkit is designed to reduce complexities involved in setting up inference endpoints, converting between different model formats, and collecting/storing datasets. It aims to facilitate data collection and sharing among roboticists by providing Python-first abstractions that are modular, extensible, and applicable to a wide range of tasks. The toolkit supports asynchronous and remote thread-safe agent execution for maximal responsiveness and scalability, and is compatible with various APIs like HuggingFace Spaces, Datasets, Gymnasium Spaces, Ollama, and OpenAI. It also offers automatic dataset recording and optional uploads to the HuggingFace hub.

Aimeos is an Open Source e-commerce framework for online shops consisting of the e-commerce library, the administration interface and different front-ends. It offers a modular stack that provides flexibility and speed. Unlike other shop systems, Aimeos allows users to choose from several user front-ends and customize them according to their needs or create their own. It is suitable for medium to large businesses requiring seamless integration into existing systems like content management, customer relationship management, or enterprise resource planning systems. Aimeos also serves as a base for portals or marketplaces.

QRev is an open-source alternative to Salesforce, offering AI agents to scale sales organizations infinitely. It aims to provide digital workers for various sales roles or a superagent named Qai. The tech stack includes TypeScript for frontend, NodeJS for backend, MongoDB for app server database, ChromaDB for vector database, SQLite for AI server SQL relational database, and Langchain for LLM tooling. The tool allows users to run client app, app server, and AI server components. It requires Node.js and MongoDB to be installed, and provides detailed setup instructions in the README file.

sktime is a Python library for time series analysis that provides a unified interface for various time series learning tasks such as classification, regression, clustering, annotation, and forecasting. It offers time series algorithms and tools compatible with scikit-learn for building, tuning, and validating time series models. sktime aims to enhance the interoperability and usability of the time series analysis ecosystem by empowering users to apply algorithms across different tasks and providing interfaces to related libraries like scikit-learn, statsmodels, tsfresh, PyOD, and fbprophet.

PandaAI is a Python platform that enables users to interact with their data in natural language, catering to both non-technical and technical users. It simplifies data querying and analysis, offering conversational data analytics capabilities with minimal code. Users can ask questions, visualize charts, and compare dataframes effortlessly. The tool aims to streamline data exploration and decision-making processes by providing a user-friendly interface for data manipulation and analysis.

CIA is a powerful open-source tool designed for data analysis and visualization. It provides a user-friendly interface for processing large datasets and generating insightful reports. With CIA, users can easily explore data, perform statistical analysis, and create interactive visualizations to communicate findings effectively. Whether you are a data scientist, analyst, or researcher, CIA offers a comprehensive set of features to streamline your data analysis workflow and uncover valuable insights.

Aimeos headless distribution is an ultra-fast, cloud-native, and API-first headless ecommerce solution for Laravel. It offers a full-featured e-commerce package with features like JSON REST API, GraphQL API, multi-vendor support, subscriptions, block/tier pricing, admin backend, and more. The distribution is highly customizable, extensible, and suitable for multi-tenant e-commerce SaaS solutions. It supports multiple languages, AI-based text translation, and provides secure and high-quality source code. Aimeos is designed for AWS, Google, Azure, and Kubernetes based clouds, and can handle a wide range of products efficiently.

Aimeos is a full-featured e-commerce platform that is ultra-fast, cloud-native, and API-first. It offers a wide range of features including JSON REST API, GraphQL API, multi-vendor support, various product types, subscriptions, multiple payment gateways, admin backend, modular structure, SEO optimization, multi-language support, AI-based text translation, mobile optimization, and high-quality source code. It is highly configurable and extensible, making it suitable for e-commerce SaaS solutions, marketplaces, and various cloud environments. Aimeos is designed for scalability, security, and performance, catering to a diverse range of e-commerce needs.

Aimeos is a professional, full-featured, and high-performance e-commerce extension for TYPO3. It can be installed in an existing TYPO3 website within 5 minutes and can be adapted, extended, overwritten, and customized to meet specific needs.

The serverless-pdf-chat repository contains a sample application that allows users to ask natural language questions of any PDF document they upload. It leverages serverless services like Amazon Bedrock, AWS Lambda, and Amazon DynamoDB to provide text generation and analysis capabilities. The application architecture involves uploading a PDF document to an S3 bucket, extracting metadata, converting text to vectors, and using a LangChain to search for information related to user prompts. The application is not intended for production use and serves as a demonstration and educational tool.

Generative BI using RAG on AWS is a comprehensive framework designed to enable Generative BI capabilities on customized data sources hosted on AWS. It offers features such as Text-to-SQL functionality for querying data sources using natural language, user-friendly interface for managing data sources, performance enhancement through historical question-answer ranking, and entity recognition. It also allows customization of business information, handling complex attribution analysis problems, and provides an intuitive question-answering UI with a conversational approach for complex queries.

Azure Functions OpenAI Extension is a project that adds support for OpenAI LLM (GPT-3.5-turbo, GPT-4) bindings in Azure Functions. It provides NuGet packages for various functionalities like text completions, chat completions, assistants, embeddings generators, and semantic search. The project requires .NET 6 SDK or greater, Azure Functions Core Tools v4.x, and specific settings in Azure Function or local settings for development. It offers features like text completions, chat completion, assistants with custom skills, embeddings generators for text relatedness, and semantic search using vector databases. The project also includes examples in C# and Python for different functionalities.

The edge2ai-workshop repository provides a hands-on workshop for building an IoT Predictive Maintenance workflow. It includes lab exercises for setting up components like NiFi, Streams Processing, Data Visualization, and more on a single host. The repository also covers use cases such as credit card fraud detection. Users can follow detailed instructions, prerequisites, and connectivity guidelines to connect to their cluster and explore various services. Additionally, troubleshooting tips are provided for common issues like MiNiFi not sending messages or CEM not picking up new NARs.

CB-Tumblebug (CB-TB) is a system for managing multi-cloud infrastructure consisting of resources from multiple cloud service providers. It provides an overview, features, and architecture. The tool supports various cloud providers and resource types, with ongoing development and localization efforts. Users can deploy a multi-cloud infra with GPUs, enjoy multiple LLMs in parallel, and utilize LLM-related scripts. The tool requires Linux, Docker, Docker Compose, and Golang for building the source. Users can run CB-TB with Docker Compose or from the Makefile, set up prerequisites, contribute to the project, and view a list of contributors. The tool is licensed under an open-source license.

The 'yu-picture' project is an educational project that provides complete video tutorials, text tutorials, resume writing, interview question solutions, and Q&A services to help you improve your project skills and enhance your resume. It is an enterprise-level intelligent collaborative cloud image library platform based on Vue 3 + Spring Boot + COS + WebSocket. The platform has a wide range of applications, including public image uploading and retrieval, image analysis for administrators, private image management for individual users, and real-time collaborative image editing for enterprises. The project covers file management, content retrieval, permission control, and real-time collaboration, using various programming concepts, architectural design methods, and optimization strategies to ensure high-speed iteration and stable operation.

Amazon SageMaker Course is a comprehensive guide for AWS Certified Machine Learning Specialty (MLS-C01) that covers training, optimizing, deploying, and integrating machine learning models in the AWS cloud. The course includes hands-on experience with AWS built-in algorithms, Bring Your Own models, and ready-to-use AI capabilities. It also provides a complete guide to AWS Certified Machine Learning – Specialty certification, along with a high-quality timed practice test. Participants will learn how to integrate trained models into their applications and receive prompt support through the course Q&A forum and private messaging.

Aimeos headless distribution is an ultra-fast, cloud-native, and API-first headless ecommerce solution for Laravel. It offers a full-featured e-commerce package with features like JSON REST API, GraphQL API, multi-vendor support, subscriptions, block/tier pricing, admin backend, and more. The distribution is highly customizable, extensible, and suitable for multi-tenant e-commerce SaaS solutions. It supports multiple languages, AI-based text translation, and provides secure and high-quality source code. Aimeos is designed for AWS, Google, Azure, and Kubernetes based clouds, and can handle a wide range of products efficiently.