The repository 'aise' is an open-source electronic book focusing on AI-assisted software engineering. It covers the latest AI-assisted software engineering practices, implementation details from AI models to IDE plugins, and practical experiences in coding intelligent agents. The book aims to provide insights on leveraging AI to enhance software development efficiency and effectiveness across the entire software development lifecycle.

Welcome to 'Top AI Directories', a curated compilation of AI tool directories designed to simplify the process of discovering and submitting AI products. Whether you're an AI developer or a product team, this resource is your one-stop destination to explore a variety of directories that can help boost the visibility of your AI innovations. Join us in fostering collaboration and recognition within the AI community by leveraging this comprehensive list.

Awesome Spring AI is a curated list of resources, tools, tutorials, and projects for building generative AI applications using Spring AI. It provides a familiar developer experience for integrating Large Language Models and other AI capabilities into Spring applications, offering consistent abstractions, support for popular LLM providers, prompt engineering, caching mechanisms, vectorized storage integration, and more. The repository includes official resources, learning materials, code examples, community information, and tools for performance benchmarking.

This repository contains a curated list of awesome AI tools that can be used for various machine learning and artificial intelligence projects. It includes tools for data preprocessing, model training, evaluation, and deployment. The list is regularly updated with new tools and resources to help developers and data scientists in their AI projects.

Awesome Flux AI is a curated list of resources, tools, libraries, and applications related to Flux AI technology. It serves as a comprehensive collection for developers, researchers, and enthusiasts interested in Flux AI. The platform offers open-source text-to-image AI models developed by Black Forest Labs, aiming to advance generative deep learning models for media, creativity, efficiency, and diversity.

The ai-sdk-chrome-ai repository is an open-source chatbot built with Next.js, the Vercel AI SDK, and the Chrome AI provider. It features Next.js App Router, Vercel AI SDK for interacting with the Gemini Nano model, shadcn/ui, Tailwind CSS styling, and Radix UI for headless component primitives. Users can deploy their own version of the chatbot to Vercel with one click and run it locally by installing dependencies and running the dev server. The repository provides a template for creating and customizing a chatbot powered by AI technology.

VividCut-AI is a powerful tool for automating video editing processes with AI. It simplifies tasks such as video clipping, content extraction, and face tracking. The framework streamlines the video editing process using AI-driven techniques, extracts relevant segments based on user queries, automatically tracks and crops faces in videos, clips and processes video segments based on AI-identified content, and automates the video processing workflow. VividCut-AI utilizes technologies like Faiss for similarity search, Moviepy for video processing, OpenAI for content extraction, and YOLO for face tracking in videos.

TwoSetAI YouTube Channel Materials is a repository containing code materials and tutorials for the videos of the TwoSetAI channel. The team behind TwoSetAI aims to make AI accessible to everyone by covering various AI-related topics, including AI products, latest trends, in-depth engineering insights, career advice for AI enthusiasts, and the entrepreneurial side of AI. The team consists of Angelina, VP of AI and Data, and Mehdi, Professor of Computer Science, who are both published authors and have significant experience in the AI field. TwoSetAI has won the Anthropic AI Developer Contest 2024 and is dedicated to ending AI FOMO for its audience.

The AI Bootcamp is a comprehensive training program focusing on real-world applications to equip individuals with the skills and knowledge needed to excel as AI engineers. The bootcamp covers topics such as Real-World PyTorch, Machine Learning Projects, Fine-tuning Tiny LLM, Deployment of LLM to Production, AI Agents with GPT-4 Turbo, CrewAI, Llama 3, and more. Participants will learn foundational skills in Python for AI, ML Pipelines, Large Language Models (LLMs), AI Agents, and work on projects like RagBase for private document chat.

The AI Data Science Team of Copilots is an AI-powered data science team that uses agents to help users perform common data science tasks 10X faster. It includes agents specializing in data cleaning, preparation, feature engineering, modeling, and interpretation of business problems. The project is a work in progress with new data science agents to be released soon. Disclaimer: This project is for educational purposes only and not intended to replace a company's data science team. No warranties or guarantees are provided, and the creator assumes no liability for financial loss.

Magic is an open-source all-in-one AI productivity platform designed to help enterprises quickly build and deploy AI applications, aiming for a 100x increase in productivity. It consists of various AI products and infrastructure tools, such as Super Magic, Magic IM, Magic Flow, and more. Super Magic is a general-purpose AI Agent for complex task scenarios, while Magic Flow is a visual AI workflow orchestration system. Magic IM is an enterprise-grade AI Agent conversation system for internal knowledge management. Teamshare OS is a collaborative office platform integrating AI capabilities. The platform provides cloud services, enterprise solutions, and a self-hosted community edition for users to leverage its features.

A curated list of AI coding tools, including code completion, refactoring, and assistants. This list includes both open-source and commercial tools, as well as tools that are still in development. Some of the most popular AI coding tools include GitHub Copilot, CodiumAI, Codeium, Tabnine, and Replit Ghostwriter.

The reComputer Jetson Orin Beginner Guide is a comprehensive resource designed to help developers explore and harness the powerful AI computing capabilities of the NVIDIA Jetson Orin platform. The guide covers a wide range of topics, from basic tools and getting started to advanced applications in computer vision, generative AI, robotics, and more. With step-by-step tutorials and hands-on projects, users can learn to master NVIDIA's core technologies and popular AI frameworks, enabling them to innovate in AI and robotics. The guide is suitable for beginners looking to dive into AI development and build cutting-edge projects with Jetson Orin.

Awesome-AI-Coding is a curated list of AI coding topics, projects, datasets, LLM models, embedding models, papers, blogs, products, startups, and peer awesome lists related to artificial intelligence in coding. It includes tools for code completion, code generation, code documentation, and code search, as well as AI models and techniques for improving developer productivity. The repository also features information on various AI-powered developer tools, copilots, and related resources in the AI coding domain.

Kaizen is an open-source project that helps teams ensure quality in their software delivery by providing a suite of tools for code review, test generation, and end-to-end testing. It integrates with your existing code repositories and workflows, allowing you to streamline your software development process. Kaizen generates comprehensive end-to-end tests, provides UI testing and review, and automates code review with insightful feedback. The file structure includes components for API server, logic, actors, generators, LLM integrations, documentation, and sample code. Getting started involves installing the Kaizen package, generating tests for websites, and executing tests. The tool also runs an API server for GitHub App actions. Contributions are welcome under the AGPL License.

AI Flow is an open-source, user-friendly UI application that empowers you to seamlessly connect multiple AI models together, specifically leveraging the capabilities of multiples AI APIs such as OpenAI, StabilityAI and Replicate. In a nutshell, AI Flow provides a visual platform for crafting and managing AI-driven workflows, thereby facilitating diverse and dynamic AI interactions.

The repository 'aise' is an open-source electronic book focusing on AI-assisted software engineering. It covers the latest AI-assisted software engineering practices, implementation details from AI models to IDE plugins, and practical experiences in coding intelligent agents. The book aims to provide insights on leveraging AI to enhance software development efficiency and effectiveness across the entire software development lifecycle.

Noema is a framework that enables developers to control a language model and choose the path it will follow. It integrates Python with llm's generations, allowing users to use LLM as a thought interpreter rather than a source of truth. Noema is built on llama.cpp and guidance's shoulders. It applies the declarative programming paradigm to a language model, providing a way to represent functions, descriptions, and transformations. Users can create subjects, think about tasks, and generate content through generators, selectors, and code generators. Noema supports ReAct prompting, visualization, and semantic Python functionalities, offering a versatile tool for automating tasks and guiding language models.

AI Driven Dev Community is a repository aimed at helping developers become more efficient by utilizing AI tools in their daily coding tasks. It provides a collection of tools, prompts, snippets, and agents for developers to integrate AI into their workflow. The repository is regularly updated with new resources and focuses on best practices for using AI in development work. Users can find tools like Espanso, ChatGPT, GitHub Copilot, and VSCode recommended for enhancing their coding experience. Additionally, the repository offers guidance on customizing AI for developers, installing AI toolbox for software engineers, and contributing to the community through easy steps.

Sweep is an AI junior developer that turns bugs and feature requests into code changes. It automatically handles developer experience improvements like adding type hints and improving test coverage.

The Teams AI Library is a software development kit (SDK) that helps developers create bots that can interact with Teams and Microsoft 365 applications. It is built on top of the Bot Framework SDK and simplifies the process of developing bots that interact with Teams' artificial intelligence capabilities. The SDK is available for JavaScript/TypeScript, .NET, and Python.

This guide is dedicated to Large Language Models (LLMs) that you can run on your home computer. It assumes your PC is a lower-end, non-gaming setup.

Supercharge WordPress Content Workflows and Engagement with Artificial Intelligence. Tap into leading cloud-based services like OpenAI, Microsoft Azure AI, Google Gemini and IBM Watson to augment your WordPress-powered websites. Publish content faster while improving SEO performance and increasing audience engagement. ClassifAI integrates Artificial Intelligence and Machine Learning technologies to lighten your workload and eliminate tedious tasks, giving you more time to create original content that matters.

Chatbot UI is an open-source AI chat app that allows users to create and deploy their own AI chatbots. It is easy to use and can be customized to fit any need. Chatbot UI is perfect for businesses, developers, and anyone who wants to create a chatbot.

BricksLLM is a cloud native AI gateway written in Go. Currently, it provides native support for OpenAI, Anthropic, Azure OpenAI and vLLM. BricksLLM aims to provide enterprise level infrastructure that can power any LLM production use cases. Here are some use cases for BricksLLM: * Set LLM usage limits for users on different pricing tiers * Track LLM usage on a per user and per organization basis * Block or redact requests containing PIIs * Improve LLM reliability with failovers, retries and caching * Distribute API keys with rate limits and cost limits for internal development/production use cases * Distribute API keys with rate limits and cost limits for students

uAgents is a Python library developed by Fetch.ai that allows for the creation of autonomous AI agents. These agents can perform various tasks on a schedule or take action on various events. uAgents are easy to create and manage, and they are connected to a fast-growing network of other uAgents. They are also secure, with cryptographically secured messages and wallets.

Griptape is a modular Python framework for building AI-powered applications that securely connect to your enterprise data and APIs. It offers developers the ability to maintain control and flexibility at every step. Griptape's core components include Structures (Agents, Pipelines, and Workflows), Tasks, Tools, Memory (Conversation Memory, Task Memory, and Meta Memory), Drivers (Prompt and Embedding Drivers, Vector Store Drivers, Image Generation Drivers, Image Query Drivers, SQL Drivers, Web Scraper Drivers, and Conversation Memory Drivers), Engines (Query Engines, Extraction Engines, Summary Engines, Image Generation Engines, and Image Query Engines), and additional components (Rulesets, Loaders, Artifacts, Chunkers, and Tokenizers). Griptape enables developers to create AI-powered applications with ease and efficiency.