Learn-AI-Assisted-Python-Programming is a book that introduces readers to the world of AI-assisted programming, focusing on using tools like GitHub Copilot and ChatGPT to create and optimize Python programs. The book guides users, even those with no prior coding experience, on how to leverage AI assistants to quickly turn their ideas into reality without getting bogged down in low-level programming details. Readers will learn to generate code using natural language prompts, fine-tune code manually or with AI assistance, test programs with AI, and automate tedious tasks. The book aims to accelerate the learning journey of Copilot programming and provide a user-friendly and thoughtful approach for beginners.

AI Engineering Academy aims to provide a structured learning path for individuals looking to learn Applied AI effectively. The platform offers multiple roadmaps covering topics like Retrieval Augmented Generation, Fine-tuning, and Deployment. Each roadmap equips learners with the knowledge and skills needed to excel in applied GenAI. Additionally, the platform will feature Hands-on End-to-End AI projects in the future.

Morphic is an AI-powered answer engine with a generative UI. It utilizes a stack of Next.js, Vercel AI SDK, OpenAI, Tavily AI, shadcn/ui, Radix UI, and Tailwind CSS. To get started, fork and clone the repo, install dependencies, fill out secrets in the .env.local file, and run the app locally using 'bun dev'. You can also deploy your own live version of Morphic with Vercel. Verified models that can be specified to writers include Groq, LLaMA3 8b, and LLaMA3 70b.

NotHotDog is an open-source platform for testing, evaluating, and simulating AI agents. It offers a robust framework for generating test cases, running conversational scenarios, and analyzing agent performance.

devb.io is an innovative platform that automatically generates professional developer portfolios directly from GitHub profiles, leveraging AI to enhance and update professional representations. It offers one-click GitHub profile connection, automatic portfolio generation, AI-powered bio generation, dynamic activity tracking, and zero manual maintenance. The tech stack includes HTML, CSS for frontend, Fast API for backend, Redis for database, Groq for AI services, and Python for scripting.

SynthLang is a tool designed to optimize AI prompts by reducing costs and improving processing speed. It brings academic rigor to prompt engineering, creating precise and powerful AI interactions. The tool includes core components like a Translator Engine, Performance Optimization, Testing Framework, and Technical Architecture. It offers mathematical precision, academic rigor, enhanced security, a modern interface, and instant testing. Users can integrate mathematical frameworks, model complex relationships, and apply structured prompts to various domains. Security features include API key management and data privacy. The tool also provides a CLI for prompt engineering and optimization capabilities.

AI_Gen_Novel is a project exploring the limits of AI in writing online fiction. Leveraging large language models and multi-agent technology, the tool aims to automatically generate web novels by compressing long texts, optimizing prompts, and enhancing originality. The tool combines the core idea of RecurrentGPT with language-based iterative computation to create texts of any length. Future directions include enhancing model capabilities, optimizing program architecture, and introducing more prior knowledge for structured storytelling.

Official SDKs for the ScrapeGraph AI API - Intelligent web scraping and search powered by AI. Extract structured data from any webpage or perform AI-powered web searches with natural language prompts. The SDK offers features such as SmartScraper for data extraction, SearchScraper for AI-powered web search, Markdownify for converting webpages to markdown, SmartCrawler for intelligent crawling, AgenticScraper for automated browser actions, and more. It provides seamless integration with popular frameworks and tools, supports Python and JavaScript SDKs, LLM frameworks, low-code platforms, and offers core features like AI-powered extraction, structured output, multiple data formats, high performance, and enterprise-grade security.

AI-Assisted DevOps is a 10-day course focusing on integrating artificial intelligence (AI) technologies into DevOps practices. The course covers various topics such as AI for observability, incident response, CI/CD pipeline optimization, security, and FinOps. Participants will learn about running large language models (LLMs) locally, making API calls, AI-powered shell scripting, and using AI agents for self-healing infrastructure. Hands-on activities include creating GitHub repositories with bash scripts, generating Docker manifests, predicting server failures using AI, and building AI agents to monitor deployments. The course culminates in a capstone project where learners implement AI-assisted DevOps automation and receive peer feedback on their projects.

This is a coding problem-solving assistant for Chinese users, tailored to the domestic AI ecosystem, simple and easy to use. It provides real-time problem-solving ideas and code analysis for coding interviews, avoiding detection during screen sharing. Users can also extend its functionality for other scenarios by customizing prompt words. The tool supports various programming languages and has stealth capabilities to hide its interface from interviewers even when screen sharing.

CentralMind Gateway is an AI-first data gateway that securely connects any data source and automatically generates secure, LLM-optimized APIs. It filters out sensitive data, adds traceability, and optimizes for AI workloads. Suitable for companies deploying AI agents for customer support and analytics.

Bytebot is an open-source AI desktop agent that provides a virtual employee with its own computer to complete tasks for users. It can use various applications, download and organize files, log into websites, process documents, and perform complex multi-step workflows. By giving AI access to a complete desktop environment, Bytebot unlocks capabilities not possible with browser-only agents or API integrations, enabling complete task autonomy, document processing, and usage of real applications.

MemU is an open-source memory framework designed for AI companions, offering high accuracy, fast retrieval, and cost-effectiveness. It serves as an intelligent 'memory folder' that adapts to various AI companion scenarios. With MemU, users can create AI companions that remember them, learn their preferences, and evolve through interactions. The framework provides advanced retrieval strategies, 24/7 support, and is specialized for AI companions. MemU offers cloud, enterprise, and self-hosting options, with features like memory organization, interconnected knowledge graph, continuous self-improvement, and adaptive forgetting mechanism. It boasts high memory accuracy, fast retrieval, and low cost, making it suitable for building intelligent agents with persistent memory capabilities.

RepoMaster is an AI agent that leverages GitHub repositories to solve complex real-world tasks. It transforms how coding tasks are solved by automatically finding the right GitHub tools and making them work together seamlessly. Users can describe their tasks, and RepoMaster's AI analysis leads to auto discovery and smart execution, resulting in perfect outcomes. The tool provides a web interface for beginners and a command-line interface for advanced users, along with specialized agents for deep search, general assistance, and repository tasks.

Better Chatbot is an open-source AI chatbot designed for individuals and teams, inspired by various AI models. It integrates major LLMs, offers powerful tools like MCP protocol and data visualization, supports automation with custom agents and visual workflows, enables collaboration by sharing configurations, provides a voice assistant feature, and ensures an intuitive user experience. The platform is built with Vercel AI SDK and Next.js, combining leading AI services into one platform for enhanced chatbot capabilities.

This repository serves as a collection of Google Colaboratory Notebooks for various tasks in Natural Language Processing (NLP), Natural Language Generation (NLG), Computer Vision, Generative Adversarial Networks (GANs), Streamlit applications, tutorials, UI/UX experiments, and other miscellaneous projects. It includes a wide range of pre-trained models, fine-tuning examples, and demos for tasks such as text generation, image processing, and more. The notebooks cover topics like self-attention, language model finetuning, emotion detection, image inpainting, and streamlit app creation. Users can explore different models, datasets, and techniques through these shared notebooks.

Magick is a groundbreaking visual AIDE (Artificial Intelligence Development Environment) for no-code data pipelines and multimodal agents. Magick can connect to other services and comes with nodes and templates well-suited for intelligent agents, chatbots, complex reasoning systems and realistic characters.

Danswer is an open-source Gen-AI Chat and Unified Search tool that connects to your company's docs, apps, and people. It provides a Chat interface and plugs into any LLM of your choice. Danswer can be deployed anywhere and for any scale - on a laptop, on-premise, or to cloud. Since you own the deployment, your user data and chats are fully in your own control. Danswer is MIT licensed and designed to be modular and easily extensible. The system also comes fully ready for production usage with user authentication, role management (admin/basic users), chat persistence, and a UI for configuring Personas (AI Assistants) and their Prompts. Danswer also serves as a Unified Search across all common workplace tools such as Slack, Google Drive, Confluence, etc. By combining LLMs and team specific knowledge, Danswer becomes a subject matter expert for the team. Imagine ChatGPT if it had access to your team's unique knowledge! It enables questions such as "A customer wants feature X, is this already supported?" or "Where's the pull request for feature Y?"

Semantic Kernel is an SDK that integrates Large Language Models (LLMs) like OpenAI, Azure OpenAI, and Hugging Face with conventional programming languages like C#, Python, and Java. Semantic Kernel achieves this by allowing you to define plugins that can be chained together in just a few lines of code. What makes Semantic Kernel _special_ , however, is its ability to _automatically_ orchestrate plugins with AI. With Semantic Kernel planners, you can ask an LLM to generate a plan that achieves a user's unique goal. Afterwards, Semantic Kernel will execute the plan for the user.

Floneum is a graph editor that makes it easy to develop your own AI workflows. It uses large language models (LLMs) to run AI models locally, without any external dependencies or even a GPU. This makes it easy to use LLMs with your own data, without worrying about privacy. Floneum also has a plugin system that allows you to improve the performance of LLMs and make them work better for your specific use case. Plugins can be used in any language that supports web assembly, and they can control the output of LLMs with a process similar to JSONformer or guidance.

MindsDB is a platform for customizing AI from enterprise data. You can create, serve, and fine-tune models in real-time from your database, vector store, and application data. MindsDB "enhances" SQL syntax with AI capabilities to make it accessible for developers worldwide. With MindsDB’s nearly 200 integrations, any developer can create AI customized for their purpose, faster and more securely. Their AI systems will constantly improve themselves — using companies’ own data, in real-time.

AiScript is a lightweight scripting language that runs on JavaScript. It supports arrays, objects, and functions as first-class citizens, and is easy to write without the need for semicolons or commas. AiScript runs in a secure sandbox environment, preventing infinite loops from freezing the host. It also allows for easy provision of variables and functions from the host.

Activepieces is an open source replacement for Zapier, designed to be extensible through a type-safe pieces framework written in Typescript. It features a user-friendly Workflow Builder with support for Branches, Loops, and Drag and Drop. Activepieces integrates with Google Sheets, OpenAI, Discord, and RSS, along with 80+ other integrations. The list of supported integrations continues to grow rapidly, thanks to valuable contributions from the community. Activepieces is an open ecosystem; all piece source code is available in the repository, and they are versioned and published directly to npmjs.com upon contributions. If you cannot find a specific piece on the pieces roadmap, please submit a request by visiting the following link: Request Piece Alternatively, if you are a developer, you can quickly build your own piece using our TypeScript framework. For guidance, please refer to the following guide: Contributor's Guide

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

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.