Horizon AI Boilerplate is an open-source Admin Dashboard template designed for Shadcn UI, NextJS, and Tailwind CSS. It provides over 30 dark/light frontend elements for creating Chat AI SaaS Apps quickly. The documentation is detailed and complex, guiding users through installation and usage. Users can start their local server with simple commands. The tool requires a valid OpenAI API key for ChatGPT functionality. Additionally, a Figma version is available for design purposes. The PRO version offers more components and pages. Users can report issues on GitHub and connect with the community via Discord. The tool credits open-source resources like Shadcn UI Library, NextJS Subscription Payments, and ChatBot UI by mckaywrigley.

Discover the journey of building a generative AI application using LangChain.js and Azure. This demo explores the development process from idea to production, using a RAG-based approach for a Q&A system based on YouTube video transcripts. The application allows to ask text-based questions about a YouTube video and uses the transcript of the video to generate responses. The code comes in two versions: local prototype using FAISS and Ollama with LLaMa3 model for completion and all-minilm-l6-v2 for embeddings, and Azure cloud version using Azure AI Search and GPT-4 Turbo model for completion and text-embedding-3-large for embeddings. Either version can be run as an API using the Azure Functions runtime.

ZenML is an extensible, open-source MLOps framework for creating portable, production-ready machine learning pipelines. By decoupling infrastructure from code, ZenML enables developers across your organization to collaborate more effectively as they develop to production.

This repository provides a fullstack example of building a Retrieval Augmented Generation (RAG) app with Cloudflare. It utilizes Cloudflare Workers, Pages, D1, KV, R2, AI Gateway, and Workers AI. The app features streaming interactions to the UI, hybrid RAG with Full-Text Search and Vector Search, switchable providers using AI Gateway, per-IP rate limiting with Cloudflare's KV, OCR within Cloudflare Worker, and Smart Placement for workload optimization. The development setup requires Node, pnpm, and wrangler CLI, along with setting up necessary primitives and API keys. Deployment involves setting up secrets and deploying the app to Cloudflare Pages. The project implements a Hybrid Search RAG approach combining Full Text Search against D1 and Hybrid Search with embeddings against Vectorize to enhance context for the LLM.

The LlamaEdge project makes it easy to run LLM inference apps and create OpenAI-compatible API services for the Llama2 series of LLMs locally. It provides a Rust+Wasm stack for fast, portable, and secure LLM inference on heterogeneous edge devices. The project includes source code for text generation, chatbot, and API server applications, supporting all LLMs based on the llama2 framework in the GGUF format. LlamaEdge is committed to continuously testing and validating new open-source models and offers a list of supported models with download links and startup commands. It is cross-platform, supporting various OSes, CPUs, and GPUs, and provides troubleshooting tips for common errors.

Build your dream team with Autogen is a repository that leverages Microsoft Autogen 0.4, Azure OpenAI, and Streamlit to create an end-to-end multi-agent application. It provides an advanced multi-agent framework based on Magentic One, with features such as a friendly UI, single-line deployment, secure code execution, managed identities, and observability & debugging tools. Users can deploy Azure resources and the app with simple commands, work locally with virtual environments, install dependencies, update configurations, and run the application. The repository also offers resources for learning more about building applications with Autogen.

Labelbox is a data-centric AI platform for enterprises to develop, optimize, and use AI to solve problems and power new products and services. Enterprises use Labelbox to curate data, generate high-quality human feedback data for computer vision and LLMs, evaluate model performance, and automate tasks by combining AI and human-centric workflows. The academic & research community uses Labelbox for cutting-edge AI research.

Welcome to `OPEN ODYSSEY 1.0` - an Open-source extravaganza for Python and AI/ML Projects. Collaborating with MLH (Major League Hacking), this repository welcomes contributions in the form of fixing outstanding issues, submitting bug reports or new feature requests, adding new projects, implementing new models, and encouraging creativity. Follow the instructions to contribute by forking the repository, cloning it to your PC, creating a new folder for your project, and making a pull request. The repository also features a special Leaderboard for top contributors and offers certificates for all participants and mentors. Follow `OPEN ODYSSEY 1.0` on social media for swift approval of your quest.

The Google AI Python SDK is the easiest way for Python developers to build with the Gemini API. The Gemini API gives you access to Gemini models created by Google DeepMind. Gemini models are built from the ground up to be multimodal, so you can reason seamlessly across text, images, and code.

Scriberr is a self-hostable AI audio transcription app that utilizes open-source Whisper models from OpenAI for transcribing audio files locally on user's hardware. It offers fast transcription with customizable compute settings, local transcription on device, API endpoints for automation, and integration with other tools. Users can optionally summarize transcripts using ChatGPT or Ollama, with support for custom prompts. The app is mobile-ready, simple, and easy to use, with planned features including speaker diarization, audio recording, file actions, full text fuzzy search, tag-based organization, follow-along text with playback, edit summaries, export options, and support for other languages. Despite being in beta, Scriberr is functional and usable, albeit with some rough edges and minor bugs.

LLM is a CLI utility and Python library for interacting with Large Language Models, both via remote APIs and models that can be installed and run on your own machine. It allows users to run prompts from the command-line, store results in SQLite, generate embeddings, and more. The tool supports self-hosted language models via plugins and provides access to remote and local models. Users can install plugins to access models by different providers, including models that can be installed and run on their own device. LLM offers various options for running Mistral models in the terminal and enables users to start chat sessions with models. Additionally, users can use a system prompt to provide instructions for processing input to the tool.

Code Review GPT uses Large Language Models to review code in your CI/CD pipeline. It helps streamline the code review process by providing feedback on code that may have issues or areas for improvement. It should pick up on common issues such as exposed secrets, slow or inefficient code, and unreadable code. It can also be run locally in your command line to review staged files. Code Review GPT is in alpha and should be used for fun only. It may provide useful feedback but please check any suggestions thoroughly.

macOS-use is a project that enables AI agents to interact with a MacBook across any app. It aims to build an AI agent for the MLX by Apple framework to perform actions on Apple devices. The project is under active development and allows users to prompt the agent to perform various tasks on their MacBook. Users need to be cautious as the tool can interact with apps, UI components, and use private credentials. The project is open source and welcomes contributions from the community.

Vidur is an open-source next-gen Recruiting OS that offers an intuitive and modern interface for forward-thinking companies to efficiently manage their recruitment processes. It combines advanced candidate profiles, team workspace, plugins, and one-click apply features. The project is under active development, and contributors are welcome to join by addressing open issues. To ensure privacy, security issues should be reported via email to [email protected].

CodeSpin.AI Chrome Extension allows users to utilize Claude and ChatGPT to edit local projects using Chrome's File System APIs. The extension is not yet available on the Chrome Web Store and requires manual installation. Users can select files, sync with their projects, and write back changes easily.

Prompt Panel is a tool designed to accelerate the adoption of AI agents by providing a platform where users can run large language models across any inference provider, create custom agent plugins, and use their own data safely. The tool allows users to break free from walled-gardens and have full control over their models, conversations, and logic. With Prompt Panel, users can pair their data with any language model, online or offline, and customize the system to meet their unique business needs without any restrictions.

A set of instructional materials, code samples and Python scripts featuring LLMs (GPT etc) through interfaces like llamaindex, langchain, Chroma (Chromadb), Pinecone etc. Mainly used to store reference code for my LangChain tutorials on YouTube.

Horizon AI Boilerplate is an open-source Admin Dashboard template designed for Shadcn UI, NextJS, and Tailwind CSS. It provides over 30 dark/light frontend elements for creating Chat AI SaaS Apps quickly. The documentation is detailed and complex, guiding users through installation and usage. Users can start their local server with simple commands. The tool requires a valid OpenAI API key for ChatGPT functionality. Additionally, a Figma version is available for design purposes. The PRO version offers more components and pages. Users can report issues on GitHub and connect with the community via Discord. The tool credits open-source resources like Shadcn UI Library, NextJS Subscription Payments, and ChatBot UI by mckaywrigley.

Zero-True is a Python and SQL reactive computational notebook designed for building and collaborating on data-driven applications. It offers an integrated and simple environment with transparent updates, dynamic and interactive UI rendering, fast prototyping capabilities, and open-source community contributions. Users can create rich, reactive apps with ease and publish them confidently. Zero-True aims to improve data accessibility and foster collaboration among users.

Spatz-2 is a complete, fullstack template for Svelte, utilizing technologies such as Sveltekit, Pocketbase, OpenAI, Vercel AI SDK, TailwindCSS, svelte-animations, and Zod. It offers features like user authentication, admin dashboard, dark/light mode themes, AI chatbot, guestbook, and forms with client/server validation. The project structure includes components, stores, routes, APIs, and icons. Spatz-2 aims to provide a futuristic web framework for building fast web apps with advanced functionalities and easy customization.

Spatz is a complete, fullstack template for Svelte that includes features such as Sveltekit for building fast web apps, Pocketbase for User Auth and Database, OpenAI for chatbots, Vercel AI SDK for AI/ML models, TailwindCSS for UI development, DaisyUI for components, and Zod for schema declaration and validation. The template provides a structured project setup with components, stores, routes, and APIs. It also offers theming and styling options with pre-loaded themes from DaisyUI. Contributions are welcomed through feature requests or pull requests.

ByteDance's Piano Transcription is a PyTorch implementation for transcribing piano recordings into MIDI files with pedals. This repository provides a simple GUI and packaging for Windows and Nix on Linux/macOS. It supports using GPU for inference and includes CLI usage. Users can upgrade the tool and report issues to the upstream project. The tool focuses on providing MIDI files, and any other improvements to transcription results should be directed to the original project.

AIA Podcast's AI Tools Catalog is a collection of AI-powered tools mentioned in the podcast. These tools can be beneficial for programming, content creation, and enhancing productivity. To contribute, users can add services by providing a brief description in the Telegram chat or suggest improvements by forking the repository and submitting a PR. Users can also report closed or inoperative tools through the creation of an Issue. The catalog is a valuable resource for discovering innovative AI tools and services.

Mojo is a new programming language that combines Python syntax and ecosystem with systems programming and metaprogramming features. It aims to bridge the gap between research and production, designed to be the best way to extend Python over time. The repository includes source code for Mojo examples, documentation hosted at modular.com, and the Mojo standard library. It has two primary branches: 'main' for stable released versions and 'nightly' for the latest builds. To install Mojo, follow the guide for the last released build or use the nightly builds for a view of the development progress. Contributions are welcome on the 'nightly' branch, and the repository is licensed under the Apache License v2.0 with LLVM Exceptions.

**Prompt flow** is a suite of development tools designed to streamline the end-to-end development cycle of LLM-based AI applications, from ideation, prototyping, testing, evaluation to production deployment and monitoring. It makes prompt engineering much easier and enables you to build LLM apps with production quality.

DeepEval is a simple-to-use, open-source LLM evaluation framework specialized for unit testing LLM outputs. It incorporates various metrics such as G-Eval, hallucination, answer relevancy, RAGAS, etc., and runs locally on your machine for evaluation. It provides a wide range of ready-to-use evaluation metrics, allows for creating custom metrics, integrates with any CI/CD environment, and enables benchmarking LLMs on popular benchmarks. DeepEval is designed for evaluating RAG and fine-tuning applications, helping users optimize hyperparameters, prevent prompt drifting, and transition from OpenAI to hosting their own Llama2 with confidence.

MegaDetector is an AI model that identifies animals, people, and vehicles in camera trap images (which also makes it useful for eliminating blank images). This model is trained on several million images from a variety of ecosystems. MegaDetector is just one of many tools that aims to make conservation biologists more efficient with AI. If you want to learn about other ways to use AI to accelerate camera trap workflows, check out our of the field, affectionately titled "Everything I know about machine learning and camera traps".

LeapfrogAI is a self-hosted AI platform designed to be deployed in air-gapped resource-constrained environments. It brings sophisticated AI solutions to these environments by hosting all the necessary components of an AI stack, including vector databases, model backends, API, and UI. LeapfrogAI's API closely matches that of OpenAI, allowing tools built for OpenAI/ChatGPT to function seamlessly with a LeapfrogAI backend. It provides several backends for various use cases, including llama-cpp-python, whisper, text-embeddings, and vllm. LeapfrogAI leverages Chainguard's apko to harden base python images, ensuring the latest supported Python versions are used by the other components of the stack. The LeapfrogAI SDK provides a standard set of protobuffs and python utilities for implementing backends and gRPC. LeapfrogAI offers UI options for common use-cases like chat, summarization, and transcription. It can be deployed and run locally via UDS and Kubernetes, built out using Zarf packages. LeapfrogAI is supported by a community of users and contributors, including Defense Unicorns, Beast Code, Chainguard, Exovera, Hypergiant, Pulze, SOSi, United States Navy, United States Air Force, and United States Space Force.

This Docker image for LLaVA (Large Language and Vision Assistant) provides a convenient way to run LLaVA locally or on RunPod. LLaVA is a powerful AI tool that combines natural language processing and computer vision capabilities. With this Docker image, you can easily access LLaVA's functionalities for various tasks, including image captioning, visual question answering, text summarization, and more. The image comes pre-installed with LLaVA v1.2.0, Torch 2.1.2, xformers 0.0.23.post1, and other necessary dependencies. You can customize the model used by setting the MODEL environment variable. The image also includes a Jupyter Lab environment for interactive development and exploration. Overall, this Docker image offers a comprehensive and user-friendly platform for leveraging LLaVA's capabilities.

The 'carrot' repository on GitHub provides a list of free and user-friendly ChatGPT mirror sites for easy access. The repository includes sponsored sites offering various GPT models and services. Users can find and share sites, report errors, and access stable and recommended sites for ChatGPT usage. The repository also includes a detailed list of ChatGPT sites, their features, and accessibility options, making it a valuable resource for ChatGPT users seeking free and unlimited GPT services.

TrustLLM is a comprehensive study of trustworthiness in LLMs, including principles for different dimensions of trustworthiness, established benchmark, evaluation, and analysis of trustworthiness for mainstream LLMs, and discussion of open challenges and future directions. Specifically, we first propose a set of principles for trustworthy LLMs that span eight different dimensions. Based on these principles, we further establish a benchmark across six dimensions including truthfulness, safety, fairness, robustness, privacy, and machine ethics. We then present a study evaluating 16 mainstream LLMs in TrustLLM, consisting of over 30 datasets. The document explains how to use the trustllm python package to help you assess the performance of your LLM in trustworthiness more quickly. For more details about TrustLLM, please refer to project website.

AI-YinMei is an AI virtual anchor Vtuber development tool (N card version). It supports fastgpt knowledge base chat dialogue, a complete set of solutions for LLM large language models: [fastgpt] + [one-api] + [Xinference], supports docking bilibili live broadcast barrage reply and entering live broadcast welcome speech, supports Microsoft edge-tts speech synthesis, supports Bert-VITS2 speech synthesis, supports GPT-SoVITS speech synthesis, supports expression control Vtuber Studio, supports painting stable-diffusion-webui output OBS live broadcast room, supports painting picture pornography public-NSFW-y-distinguish, supports search and image search service duckduckgo (requires magic Internet access), supports image search service Baidu image search (no magic Internet access), supports AI reply chat box [html plug-in], supports AI singing Auto-Convert-Music, supports playlist [html plug-in], supports dancing function, supports expression video playback, supports head touching action, supports gift smashing action, supports singing automatic start dancing function, chat and singing automatic cycle swing action, supports multi scene switching, background music switching, day and night automatic switching scene, supports open singing and painting, let AI automatically judge the content.