Best AI tools for< Open Garage Door >

Josh.ai is an advanced AI control system for the smart home that utilizes natural interfaces like voice and touch to orchestrate technology in all aspects of the home. It aims to inspire, embolden, and delight users by providing an exciting and effortless living experience. Josh.ai is evolving to deliver its supercharged JoshGPT assistant at home and on-the-go, offering seamless integration with connected devices for smart home control and customization. With a focus on privacy, innovation, beauty, peace, comfort, flexibility, simplicity, security, delight, time, wellness, intelligence, and magic, Josh.ai is designed to empower every family member with intuitive control and intelligent assistance.

OpenCV is a library of programming functions mainly aimed at real-time computer vision. Originally developed by Intel, it was later supported by Willow Garage and is now maintained by Itseez. OpenCV is cross-platform and free for use under the open-source BSD license.

Open is an AI-powered customer support tool that automates responses to customer queries. It uses artificial intelligence to understand and respond to customer messages, providing quick and accurate solutions. Open streamlines the customer support process, saving time and improving efficiency for businesses. With its AI autopilot feature, Open can handle a large volume of customer inquiries without human intervention, ensuring round-the-clock support for users. The tool is designed to enhance customer satisfaction and optimize support operations.

Open Knowledge Maps is the world's largest AI-based search engine for scientific knowledge. It aims to revolutionize discovery by increasing the visibility of research findings for science and society. The platform is open and nonprofit, based on the principles of open science, with a mission to create an inclusive, sustainable, and equitable infrastructure for all users. Users can map research topics with AI, find documents, and identify concepts to enhance their literature search experience.

Open Data Science (ODS) is a community website offering a platform for data science enthusiasts to engage in tracks, competitions, hacks, tasks, events, and projects. The website serves as a hub for job opportunities and provides a space for privacy policy, service agreements, and public offers. ODS.AI, established in 2015, focuses on various data science topics such as machine learning, computer vision, natural language processing, and more. The platform hosts online and offline events, conferences, and educational courses to foster learning and networking within the data science community.

The Open Interpreter Project is an AI tool that enables users to run code on their computers to complete tasks. It offers a new way of interacting with computers by leveraging LLMs (Large Language Models). The project aims to simplify coding tasks and enhance productivity by providing a platform for executing code seamlessly.

Open Agent Studio is a powerful no-code agent editor that introduces new automation concepts like Semantic Targets and Semantic Triggers in simple language, enabling the creation of future-proof agents that are robust to design changes. It is designed to target markets untouched by AI, offering subscribers a free 4-week course to launch custom agents with enterprise-grade white label. The tool includes an Agent Recorder for easy building of agents by recording keyboard and mouse actions, scraping data, and detecting the start node. Open Agent Studio is powered by Cheat Layer, a platform that leverages GPT-3 for automation and aims to democratize access to AI for rebuilding businesses online.

Open Translation AI is an AI-powered translation tool that provides human-like, fluent, and near-perfect translations. It utilizes advanced machine learning algorithms to analyze and translate text, capturing the nuances and context of the original language. With Open Translation AI, users can easily translate documents, websites, and other content into over 100 languages, ensuring accurate and effective communication across linguistic barriers.

Open GPT 4o is an advanced large multimodal language model developed by OpenAI, offering real-time audiovisual responses, emotion recognition, and superior visual capabilities. It can handle text, audio, and image inputs, providing a rich and interactive user experience. GPT 4o is free for all users and features faster response times, advanced interactivity, and the ability to recognize and output emotions. It is designed to be more powerful and comprehensive than its predecessor, GPT 4, making it suitable for applications requiring voice interaction and multimodal processing.

Open Tutor App is an AI-powered Homework Helper designed to assist students in solving homework questions efficiently. The app allows users to take a photo of their homework, which is then analyzed by AI to provide step-by-step solutions and explanations. With features like scanning and solving homework questions, Open Tutor App aims to enhance learning experiences and boost academic performance. The application is available for download on Google Play, App Store, and Web platforms.

The Computer Vision Foundation (CVF) is a non-profit organization dedicated to advancing the field of computer vision. CVF organizes several conferences and workshops each year, including the International Conference on Computer Vision (ICCV), the Conference on Computer Vision and Pattern Recognition (CVPR), and the Winter Conference on Applications of Computer Vision (WACV). CVF also publishes the International Journal of Computer Vision (IJCV) and the Computer Vision and Image Understanding (CVIU) journal. The CVF Open Access website provides access to the full text of all CVF-sponsored conference papers. These papers are available for free download in PDF format. The CVF Open Access website also includes links to the arXiv versions of the papers, where available.

arXiv.org is a free distribution service and an open-access archive for nearly 2.4 million scholarly articles in the fields of physics, mathematics, computer science, quantitative biology, quantitative finance, statistics, electrical engineering and systems science, and economics. Materials on this site are not peer-reviewed by arXiv.

Opensource.com is a platform that provides a wealth of information and resources related to open source technologies, projects, and applications. It covers a wide range of topics such as open source alternatives, Linux downloads, community developments, and tips for running virtual events. The website also features articles on various open source tools, technologies, and best practices, making it a valuable resource for developers, tech enthusiasts, and open source advocates.

DVC is an open-source version control system for machine learning projects. It allows users to track and manage their data, models, and code in a single place. DVC also provides a number of features that make it easy to collaborate on machine learning projects, such as experiment tracking, model registration, and pipeline management.

OpenGPT is a community for Open AI enthusiasts. It provides access to various AI tools such as GPT Store, OpenGPTs, Open Chat, Open Draw, and Open Video. Users can submit their GPTs and earn credits for free access to advanced AI models like Google Gemini Pro, ChatGPT4, DALL.E.3, and Imagen2.

SoraWebui is an open-source web platform that simplifies video creation by allowing users to generate videos from text using OpenAI's Sora model. It provides an easy-to-use interface and one-click website deployment, making it accessible to both professionals and enthusiasts in video production and AI technology. SoraWebui also includes a simulated version of the Sora API called FakeSoraAPI, which allows developers to start developing and testing their projects in a mock environment.

Google Gemma is a lightweight, state-of-the-art open language model (LLM) developed by Google. It is part of the same research used in the creation of Google's Gemini models. Gemma models come in two sizes, the 2B and 7B parameter versions, where each has a base (pre-trained) and instruction-tuned modifications. Gemma models are designed to be cross-device compatible and optimized for Google Cloud and NVIDIA GPUs. They are also accessible through Kaggle, Hugging Face, Google Cloud with Vertex AI or GKE. Gemma models can be used for a variety of applications, including text generation, summarization, RAG, and both commercial and research use.

Bagel is an AI & Cryptography Research Lab that focuses on making open source AI monetizable by leveraging novel cryptography techniques. Their innovative fine-tuning technology tracks the evolution of AI models, ensuring every contribution is rewarded. Bagel is built for autonomous AIs with large resource requirements and offers permissionless infrastructure for seamless information flow between machines and humans. The lab is dedicated to privacy-preserving machine learning through advanced cryptography schemes.

Clarity Write is an open-source SaaS script that provides a comprehensive suite of AI-powered tools to transform content creation. With its powerful AI capabilities, users can effortlessly generate high-quality content, create stunning visuals, automate coding tasks, transcribe audio and video files, and engage with AI experts via chatbots. Clarity Write also offers a vast library of over 500 professionally designed templates, a feature-rich editor for refining content, and robust admin tools for streamlined management. By leveraging the capabilities of OpenAI APIs, Clarity Write empowers users to enhance their content creation process, unlock endless creativity, and simplify their operations.

Comfy Org is an open-source AI tooling platform dedicated to advancing and democratizing AI technology. The platform offers tools like node manager, node registry, CLI, automated testing, and public documentation to support the ComfyUI ecosystem. Comfy Org aims to make state-of-the-art AI models accessible to a wider audience by fostering an open-source and community-driven approach. The team behind Comfy Org consists of individuals passionate about developing and maintaining various components of the platform, ensuring a reliable and secure environment for users to explore and contribute to AI tooling.

The 'bookmark-summary' repository reads bookmarks from 'bookmark-collection', extracts text content using Jina Reader, and then summarizes the text using LLM. The detailed implementation can be found in 'process_changes.py'. It needs to be used together with the Github Action in 'bookmark-collection'.

LLM-PowerHouse is a comprehensive and curated guide designed to empower developers, researchers, and enthusiasts to harness the true capabilities of Large Language Models (LLMs) and build intelligent applications that push the boundaries of natural language understanding. This GitHub repository provides in-depth articles, codebase mastery, LLM PlayLab, and resources for cost analysis and network visualization. It covers various aspects of LLMs, including NLP, models, training, evaluation metrics, open LLMs, and more. The repository also includes a collection of code examples and tutorials to help users build and deploy LLM-based applications.

LLamaTuner is a repository for the Efficient Finetuning of Quantized LLMs project, focusing on building and sharing instruction-following Chinese baichuan-7b/LLaMA/Pythia/GLM model tuning methods. The project enables training on a single Nvidia RTX-2080TI and RTX-3090 for multi-round chatbot training. It utilizes bitsandbytes for quantization and is integrated with Huggingface's PEFT and transformers libraries. The repository supports various models, training approaches, and datasets for supervised fine-tuning, LoRA, QLoRA, and more. It also provides tools for data preprocessing and offers models in the Hugging Face model hub for inference and finetuning. The project is licensed under Apache 2.0 and acknowledges contributions from various open-source contributors.

LLM Datasets is a repository containing high-quality datasets, tools, and concepts for LLM fine-tuning. It provides datasets with characteristics like accuracy, diversity, and complexity to train large language models for various tasks. The repository includes datasets for general-purpose, math & logic, code, conversation & role-play, and agent & function calling domains. It also offers guidance on creating high-quality datasets through data deduplication, data quality assessment, data exploration, and data generation techniques.

LLaMA Factory is a unified framework for fine-tuning 100+ large language models (LLMs) with various methods, including pre-training, supervised fine-tuning, reward modeling, PPO, DPO and ORPO. It features integrated algorithms like GaLore, BAdam, DoRA, LongLoRA, LLaMA Pro, LoRA+, LoftQ and Agent tuning, as well as practical tricks like FlashAttention-2, Unsloth, RoPE scaling, NEFTune and rsLoRA. LLaMA Factory provides experiment monitors like LlamaBoard, TensorBoard, Wandb, MLflow, etc., and supports faster inference with OpenAI-style API, Gradio UI and CLI with vLLM worker. Compared to ChatGLM's P-Tuning, LLaMA Factory's LoRA tuning offers up to 3.7 times faster training speed with a better Rouge score on the advertising text generation task. By leveraging 4-bit quantization technique, LLaMA Factory's QLoRA further improves the efficiency regarding the GPU memory.

XTuner is an efficient, flexible, and full-featured toolkit for fine-tuning large models. It supports various LLMs (InternLM, Mixtral-8x7B, Llama 2, ChatGLM, Qwen, Baichuan, ...), VLMs (LLaVA), and various training algorithms (QLoRA, LoRA, full-parameter fine-tune). XTuner also provides tools for chatting with pretrained / fine-tuned LLMs and deploying fine-tuned LLMs with any other framework, such as LMDeploy.

Speechless.AI is committed to integrating the superior language processing and deep reasoning capabilities of large language models into practical business applications. By enhancing the model's language understanding, knowledge accumulation, and text creation abilities, and introducing long-term memory, external tool integration, and local deployment, our aim is to establish an intelligent collaborative partner that can independently interact, continuously evolve, and closely align with various business scenarios.

Open Interface is a self-driving software that automates computer tasks by sending user requests to a language model backend (e.g., GPT-4V) and simulating keyboard and mouse inputs to execute the steps. It course-corrects by sending current screenshots to the language models. The tool supports MacOS, Linux, and Windows, and requires setting up the OpenAI API key for access to GPT-4V. It can automate tasks like creating meal plans, setting up custom language model backends, and more. Open Interface is currently not efficient in accurate spatial reasoning, tracking itself in tabular contexts, and navigating complex GUI-rich applications. Future improvements aim to enhance the tool's capabilities with better models trained on video walkthroughs. The tool is cost-effective, with user requests priced between $0.05 - $0.20, and offers features like interrupting the app and primary display visibility in multi-monitor setups.

AirLLM is a tool that optimizes inference memory usage, enabling large language models to run on low-end GPUs without quantization, distillation, or pruning. It supports models like Llama3.1 on 8GB VRAM. The tool offers model compression for up to 3x inference speedup with minimal accuracy loss. Users can specify compression levels, profiling modes, and other configurations when initializing models. AirLLM also supports prefetching and disk space management. It provides examples and notebooks for easy implementation and usage.

MachinaScript For Robots is a dynamic set of tools and a LLM-JSON-based language designed to empower humans in the creation of their own robots. It facilitates the animation of generative movements, the integration of personality, and the teaching of new skills with a high degree of autonomy. With MachinaScript, users can control a wide range of electronic components, including Arduinos, Raspberry Pis, servo motors, cameras, sensors, and more. The tool enables the creation of intelligent robots accessible to everyone, allowing for complex tasks to be performed with elegance and precision.

Swarms provides simple, reliable, and agile tools to create your own Swarm tailored to your specific needs. Currently, Swarms is being used in production by RBC, John Deere, and many AI startups.

This repository, named Awesome-Embodied-Agent-with-LLMs, is a curated list of research related to Embodied AI or agents with Large Language Models. It includes various papers, surveys, and projects focusing on topics such as self-evolving agents, advanced agent applications, LLMs with RL or world models, planning and manipulation, multi-agent learning and coordination, vision and language navigation, detection, 3D grounding, interactive embodied learning, rearrangement, benchmarks, simulators, and more. The repository provides a comprehensive collection of resources for individuals interested in exploring the intersection of embodied agents and large language models.

Awesome-AI-SEO is a curated list of powerful AI tools and platforms designed to transform your SEO strategy. This repository gathers the most effective tools that leverage machine learning and artificial intelligence to automate and enhance key aspects of search engine optimization. Whether you are an SEO professional, digital marketer, or website owner, these tools can help you optimize your site, improve your search rankings, and increase organic traffic with greater precision and efficiency. The list features AI tools covering on-page and off-page optimization, competitor analysis, rank tracking, and advanced SEO analytics. By utilizing cutting-edge technologies, businesses can stay ahead of the competition by uncovering hidden keyword opportunities, optimizing content for better visibility, and automating time-consuming SEO tasks. With frequent updates, Awesome-AI-SEO is your go-to resource for discovering the latest AI-driven innovations in the SEO space.

Resonance is a framework designed to facilitate interoperability and messaging between services in your infrastructure and beyond. It provides AI capabilities and takes full advantage of asynchronous PHP, built on top of Swoole. With Resonance, you can: * Chat with Open-Source LLMs: Create prompt controllers to directly answer user's prompts. LLM takes care of determining user's intention, so you can focus on taking appropriate action. * Asynchronous Where it Matters: Respond asynchronously to incoming RPC or WebSocket messages (or both combined) with little overhead. You can set up all the asynchronous features using attributes. No elaborate configuration is needed. * Simple Things Remain Simple: Writing HTTP controllers is similar to how it's done in the synchronous code. Controllers have new exciting features that take advantage of the asynchronous environment. * Consistency is Key: You can keep the same approach to writing software no matter the size of your project. There are no growing central configuration files or service dependencies registries. Every relation between code modules is local to those modules. * Promises in PHP: Resonance provides a partial implementation of Promise/A+ spec to handle various asynchronous tasks. * GraphQL Out of the Box: You can build elaborate GraphQL schemas by using just the PHP attributes. Resonance takes care of reusing SQL queries and optimizing the resources' usage. All fields can be resolved asynchronously.

Bagatur chess engine is a powerful Java chess engine that can run on Android devices and desktop computers. It supports the UCI protocol and can be easily integrated into chess programs with user interfaces. The engine is available for download on various platforms and has advanced features like SMP (multicore) support and NNUE evaluation function. Bagatur also includes syzygy endgame tablebases and offers various UCI options for customization. The project started as a personal challenge to create a chess program that could defeat a friend, leading to years of development and improvements.

This repository is dedicated to summarizing papers related to large language models with the field of law. It includes applications of large language models in legal tasks, legal agents, legal problems of large language models, data resources for large language models in law, law LLMs, and evaluation of large language models in the legal domain.

A huge blocklist of sites containing AI generated content (~950 sites) for cleaning image search engines with uBlock Origin or uBlacklist. Includes hosts file for pi-hole/adguard. Provides instructions for importing blocklists and additional lists for specific content. Allows users to create allowlists and customize filtering based on keywords. Offers tips and tricks for advanced filtering and comparison between uBlock Origin and uBlacklist implementations.

Extractous offers a fast and efficient solution for extracting content and metadata from various document types such as PDF, Word, HTML, and many other formats. It is built with Rust, providing high performance, memory safety, and multi-threading capabilities. The tool eliminates the need for external services or APIs, making data processing pipelines faster and more efficient. It supports multiple file formats, including Microsoft Office, OpenOffice, PDF, spreadsheets, web documents, e-books, text files, images, and email formats. Extractous provides a clear and simple API for extracting text and metadata content, with upcoming support for JavaScript/TypeScript. It is free for commercial use under the Apache 2.0 License.

Tau is a framework for building low maintenance & highly scalable cloud computing platforms that software developers will love. It aims to solve the high cost and time required to build, deploy, and scale software by providing a developer-friendly platform that offers autonomy and flexibility. Tau simplifies the process of building and maintaining a cloud computing platform, enabling developers to achieve 'Local Coding Equals Global Production' effortlessly. With features like auto-discovery, content-addressing, and support for WebAssembly, Tau empowers users to create serverless computing environments, host frontends, manage databases, and more. The platform also supports E2E testing and can be extended using a plugin system called orbit.

Open Domain Relation Extractor

Reviews open data using uploaded knowledge.

Open Source Guide for Everyone: First time contributors, maintainers, and the curious.

Download and Run Open Source LLMs Locally.

Find open source alternative to any paid service you can think of

Open Specification Schema for defining your GPT Assistant

Fornisce informazioni sulla normativa italiana in materia di open data, con un tono professionale e divulgativo. In modo che sia più facile chiederne e/o pretenderne la pubblicazione.

Uses OpenAI's latest API docs to answer questions about their newly released API. This is not an official OpenAI bot.

Efficient Japanese learning Assistant 高效日语学习助手

Open Source Prompt: https://github.com/mleoca/Bash-Scripting-GPT

This is a truly, open world game, where literally anything is possible, you can form your own story, or start to dive into one of the built mysteries and adventures. There are no two similar games and experiences.

Open AI GPT Store

Your AI guide to the Open Compute Project

I'll help you access and understand open data published by central government, local authorities and public bodies. You can ask me in your native language.

Crack open the door to your future. (Partner tip: use the iPhone app for voice chat)

This Open AI tool analyzes your financial data, budgets and cashflow and suggests areas of improvement and quick insights. Drop an XLS file here or copy/paste your financial data and get insights! (Your data remains private and creator of this ChatGPT has no access to it).

SAP UI5 and Open UI5 expert, guiding in code review and best practices.

The #1 open source GPT to build your SKAN 4.0 conversion values schema.

Extensive guide for ChatGPT models. 🛈 This software is free and open-source; anyone can redistribute it and/or modify it.

Checks all open AI systems for downtime.