AI tools for github-markdown-css
Related Tools:
Eraser AI
Eraser AI is an all-in-one markdown editor, collaborative canvas, and diagram-as-code builder designed to assist engineering teams in creating diagrams, design docs, and documentation efficiently. It offers features like creating architecture diagrams, data flow diagrams, wireframes, and more. Eraser AI provides a multiplayer-first tool for collaboration, robust file management, fast file search, and a knowledge graph across files and teams. It is designed by developers for developers, with features like cloud architecture visualization, GitHub integration, and markdown notes. The tool focuses on usability, version history, performance, and workflow integration, making it a valuable asset for technical teams.
Firecrawl
Firecrawl is an advanced web crawling and data conversion tool designed to transform any website into clean, LLM-ready markdown. It automates the collection, cleaning, and formatting of web data, streamlining the preparation process for Large Language Model (LLM) applications. Firecrawl is best suited for business websites, documentation, and help centers, offering features like crawling all accessible subpages, handling dynamic content, converting data into well-formatted markdown, and more. It is built by LLM engineers for LLM engineers, providing clean data the way users want it.
Prompt Mixer
Prompt Mixer is a collaborative workspace for managers, engineers, and data experts to develop AI features. It is a desktop app that allows users to keep, version, and test chains of prompts with different ML models and connections. Users can create prompts using Markdown and enhance them with AI. The app also provides suggestions to improve prompts and can even improve them automatically using AI.
GitHub
GitHub is the world's leading AI-powered developer platform that offers a wide range of features to automate workflows, enhance security, and improve collaboration. With tools like GitHub Copilot, developers can write better code with AI assistance, while GitHub Actions and Codespaces streamline development processes. The platform also focuses on productivity, security, and collaboration, empowering developers to accelerate innovation and work more efficiently together. GitHub is trusted by leading organizations worldwide and provides advanced security features to secure code and prevent vulnerabilities.
GitHub Pages
The website is a GitHub Pages site that is currently not found, displaying a 404 error message. GitHub Pages is a static site hosting service that allows users to create websites directly from GitHub repositories. Users can publish websites for personal projects, documentation, portfolios, and more by following the documentation provided by GitHub. The site provides information about GitHub Status through @githubstatus.
Enric Corona
Enric Corona is a Research Scientist at Google Research, working on 3D Humans and Generative AI. His research is in areas of computer vision and machine learning, including modelling and reconstruction of 3D human bodies and hands.
Boximator
Boximator is an AI-powered tool that allows users to generate rich and controllable motions for video synthesis. It uses a combination of deep learning and computer vision techniques to analyze and interpret text prompts, and then generate realistic and visually appealing motions that match the user's intent. Boximator is particularly well-suited for creating videos of human characters, but it can also be used to generate motions for other objects, such as animals, vehicles, and even abstract shapes.
SceneDreamer
SceneDreamer is an AI tool that specializes in generating unbounded 3D scenes from 2D image collections. It utilizes an unconditional generative model to synthesize large-scale 3D landscapes with diverse styles, 3D consistency, well-defined depth, and free camera trajectory. The tool is trained solely on in-the-wild 2D image collections without any 3D annotations, showcasing its ability to create vivid and varied 3D worlds.
MiniGPT-4
MiniGPT-4 is a powerful AI tool that combines a vision encoder with a large language model (LLM) to enhance vision-language understanding. It can generate detailed image descriptions, create websites from handwritten drafts, write stories and poems inspired by images, provide solutions to problems shown in images, and teach users how to cook based on food photos. MiniGPT-4 is highly computationally efficient and easy to use, making it a valuable tool for a wide range of applications.
NVIDIA Toronto AI Lab
The NVIDIA Toronto AI Lab is a research laboratory focused on advancing the state-of-the-art in artificial intelligence. The lab's researchers are working on a wide range of AI topics, including deep learning, machine learning, computer vision, natural language processing, and robotics.
OSS Insight
OSS Insight is an AI tool that provides deep insight into developers and repositories on GitHub, focusing on stars, pull requests, issues, pushes, comments, and reviews. It offers real-time event monitoring and trending repositories ranking based on various scores. The tool supports multiple programming languages and features a wide range of open-source AI projects for developers.
GitHub Next
GitHub Next is a research and development team at GitHub that explores the future of software development. The team prototypes tools and technologies that will change the way we build software, and identifies new approaches to building healthy, productive software engineering teams.
BentoML
BentoML is a framework for building reliable, scalable, and cost-efficient AI applications. It provides everything needed for model serving, application packaging, and production deployment.
GitGab
GitGab is a collaborative platform for developers to share code, collaborate on projects, and build software together. It provides a space for developers to host and review code, manage projects, and work together in a seamless manner. With features like version control, issue tracking, and code review, GitGab simplifies the development process and enhances team productivity. Developers can easily collaborate, contribute, and learn from each other's code, making it a valuable tool for software development teams.
JP to EN(EN to JP) Translator for GH Issue
Translates GitHub issues from Japanese to English.
FOSS License Checker
Give me a GitHub link or the name of a FOSS license. I'll tell you what you can and can't do. In bullet points and plain English.
BioinformaticsManual
Compile instructions from the web and github for bioinformatics applications. Receive line-by-line instructions and commands to get started
REPO MASTER
Expert at fetching repository information from GitHub, Hugging Face. and you local repositories
MS Learn GPT
Factual, clear guidance based on Microsoft Learn and GitHub Docs. Ask me about cloud native solutions, GitHub collaboration or certifications.
Awesome Mac
Your go-to awesome MacOS software assistant. https://github.com/jaywcjlove/awesome-mac/
💻Professional Coder (Auto programming)
A gpt expert at solving programming problems. We have open-sourced the prompt here: https://github.com/ai-boost/awesome-gpts-prompts (This GPT isn't perfect, let's improve it together! 😊🛠️)
Dependency Chat
Talk about a project taking its dependencies into mind. Start by pasting in a GitHub repo URL
Awesome-AI
Awesome AI is a repository that collects and shares resources in the fields of large language models (LLM), AI-assisted programming, AI drawing, and more. It explores the application and development of generative artificial intelligence. The repository provides information on various AI tools, models, and platforms, along with tutorials and web products related to AI technologies.
chatnio
Chat Nio is a next-generation AI one-stop solution that provides a rich and user-friendly interface for interacting with various AI models. It offers features such as AI chat conversation, rich format compatibility, markdown support, message menu support, multi-platform adaptation, dialogue memory, full-model file parsing, full-model DuckDuckGo online search, full-screen large text editing, model marketplace, preset support, site announcements, preference settings, internationalization support, and a rich admin system. Chat Nio also boasts a powerful channel management system that utilizes a self-developed channel distribution algorithm, supports multi-channel management, is compatible with multiple formats, allows for custom models, supports channel retries, enables balanced load within the same channel, and provides channel model mapping and user grouping. Additionally, Chat Nio offers forwarding API services that are compatible with multiple formats in the OpenAI universal format and support multiple model compatible layers. It also provides a custom build and install option for highly customizable deployments. Chat Nio is an open-source project licensed under the Apache License 2.0 and welcomes contributions from the community.
ollama-gui
Ollama GUI is a web interface for ollama.ai, a tool that enables running Large Language Models (LLMs) on your local machine. It provides a user-friendly platform for chatting with LLMs and accessing various models for text generation. Users can easily interact with different models, manage chat history, and explore available models through the web interface. The tool is built with Vue.js, Vite, and Tailwind CSS, offering a modern and responsive design for seamless user experience.
uxie
Uxie is a PDF reader app designed to revolutionize the learning experience. It offers features such as annotation, note-taking, collaboration tools, integration with LLM for enhanced learning, and flashcard generation with LLM feedback. Built using Nextjs, tRPC, Zod, TypeScript, Tailwind CSS, React Query, React Hook Form, Supabase, Prisma, and various other tools. Users can take notes, summarize PDFs, chat and collaborate with others, create custom blocks in the editor, and use AI-powered text autocompletion. The tool allows users to craft simple flashcards, test knowledge, answer questions, and receive instant feedback through AI evaluation.
llms-txt
The llms-txt repository proposes a standardization on using an `/llms.txt` file to provide information to help large language models (LLMs) use a website at inference time. The `llms.txt` file is a markdown file that offers brief background information, guidance, and links to more detailed information in markdown files. It aims to provide concise and structured information for LLMs to access easily, helping users interact with websites via AI helpers. The repository also includes tools like a CLI and Python module for parsing `llms.txt` files and generating LLM context from them, along with a sample JavaScript implementation. The proposal suggests adding clean markdown versions of web pages alongside the original HTML pages to facilitate LLM readability and access to essential information.
airport-codes
A website that tries to make sense of those three-letter airport codes. It provides detailed information about each airport, including its name, location, and a description. The site also includes a search function that allows users to find airports by name, city, or country. Airport content can be found in `/data` in individual files. Use the three-letter airport code as the filename (e.g. `phx.json`). Content in each `json` file: `id` = three-letter code (e.g. phx), `name` = airport name (Sky Harbor International Airport), `city` = primary city name (Phoenix), `state` = state name, if applicable (Arizona), `stateShort` = state abbreviation, if applicable (AZ), `country` = country name (USA), `description` = description, accepts markdown, use * for emphasis on letters, `imageCredit` = name of photographer, `imageCreditLink` = URL of photographer's Flickr page. You can also optionally add for aid in searching: `city2` = another city or country the airport may be known for. Adding a `json` file to `/data` will automatically render it. You do not need to manually add the path anywhere.
nlux
nlux is an open-source Javascript and React JS library that makes it super simple to integrate powerful large language models (LLMs) like ChatGPT into your web app or website. With just a few lines of code, you can add conversational AI capabilities and interact with your favourite LLM.
crawl4ai
Crawl4AI is a powerful and free web crawling service that extracts valuable data from websites and provides LLM-friendly output formats. It supports crawling multiple URLs simultaneously, replaces media tags with ALT, and is completely free to use and open-source. Users can integrate Crawl4AI into Python projects as a library or run it as a standalone local server. The tool allows users to crawl and extract data from specified URLs using different providers and models, with options to include raw HTML content, force fresh crawls, and extract meaningful text blocks. Configuration settings can be adjusted in the `crawler/config.py` file to customize providers, API keys, chunk processing, and word thresholds. Contributions to Crawl4AI are welcome from the open-source community to enhance its value for AI enthusiasts and developers.
obs-urlsource
The URL/API Source is a plugin for OBS Studio that allows users to add a media source fetching data from a URL or API endpoint and displaying it as text. It supports input and output templating, various request types, output parsing (JSON, XML/HTML, Regex, CSS selectors), live data updating, output styling, and formatting. Future features include authentication, websocket support, more parsing options, request types, and output formats. The plugin is cross-platform compatible and actively maintained by the developer. Users can support the project on GitHub.
tap4-ai-webui
Tap4 AI Web UI is an open source AI tools directory built by Tap4 AI Tools Directory. The project aims to help everyone build their own AI Tools Directory easily. Users can fork the project, deploy it to Vercel with one click, and update their own AI tools using the data list in the project. The web UI features internationalization, SEO friendliness, dynamic sitemap generation, fast shipping, NEXT 14 with app route, and integration with Supabase serverless database.
advisingapp
**Advising App™** is a software solution created by Canyon GBS™ that includes a robust personal assistant designed to support student service professionals in their day-to-day roles. The assistant can help with research tasks, draft communication, language translation, content creation, student profile analysis, project planning, ideation, and much more. The software also includes a student service CRM designed to support the management of prospective and enrolled students. Key features of the CRM include record management, email and SMS, service management, caseload management, task management, interaction tracking, files and documents, and much more.
InternLM-XComposer
InternLM-XComposer2 is a groundbreaking vision-language large model (VLLM) based on InternLM2-7B excelling in free-form text-image composition and comprehension. It boasts several amazing capabilities and applications: * **Free-form Interleaved Text-Image Composition** : InternLM-XComposer2 can effortlessly generate coherent and contextual articles with interleaved images following diverse inputs like outlines, detailed text requirements and reference images, enabling highly customizable content creation. * **Accurate Vision-language Problem-solving** : InternLM-XComposer2 accurately handles diverse and challenging vision-language Q&A tasks based on free-form instructions, excelling in recognition, perception, detailed captioning, visual reasoning, and more. * **Awesome performance** : InternLM-XComposer2 based on InternLM2-7B not only significantly outperforms existing open-source multimodal models in 13 benchmarks but also **matches or even surpasses GPT-4V and Gemini Pro in 6 benchmarks** We release InternLM-XComposer2 series in three versions: * **InternLM-XComposer2-4KHD-7B** 🤗: The high-resolution multi-task trained VLLM model with InternLM-7B as the initialization of the LLM for _High-resolution understanding_ , _VL benchmarks_ and _AI assistant_. * **InternLM-XComposer2-VL-7B** 🤗 : The multi-task trained VLLM model with InternLM-7B as the initialization of the LLM for _VL benchmarks_ and _AI assistant_. **It ranks as the most powerful vision-language model based on 7B-parameter level LLMs, leading across 13 benchmarks.** * **InternLM-XComposer2-VL-1.8B** 🤗 : A lightweight version of InternLM-XComposer2-VL based on InternLM-1.8B. * **InternLM-XComposer2-7B** 🤗: The further instruction tuned VLLM for _Interleaved Text-Image Composition_ with free-form inputs. Please refer to Technical Report and 4KHD Technical Reportfor more details.