Best AI tools for< Github Instructor >

EDGE is an AI-powered tool for editable dance generation from music. It utilizes a transformer-based diffusion model paired with Jukebox to create realistic and physically-plausible dances while staying faithful to input music. The tool offers powerful editing capabilities such as joint-wise conditioning, motion in-betweening, and dance continuation. EDGE has been compared to other methods like Bailando and FACT, with human raters showing a strong preference for dances generated by EDGE. The tool supports arbitrary spatial and temporal constraints, enabling the creation of various dance choreographies from music.

BugFree.ai is an AI-powered platform designed to help users practice system design and behavior interviews, similar to Leetcode. The platform offers a range of features to assist users in preparing for technical interviews, including mock interviews, real-time feedback, and personalized study plans. With BugFree.ai, users can improve their problem-solving skills and gain confidence in tackling complex interview questions.

GitHub is a collaborative platform that allows users to build and ship software efficiently. GitHub Copilot, an AI-powered tool, helps developers write better code by providing coding assistance, automating workflows, and enhancing security. The platform offers features such as instant dev environments, code review, code search, and collaboration tools. GitHub is widely used by enterprises, small and medium teams, startups, and nonprofits across various industries. It aims to simplify the development process, increase productivity, and improve the overall developer experience.

GitHub is the world's leading AI-powered developer platform with over 100 million developers. It offers a wide range of features such as automating workflows, hosting and managing packages, finding and fixing vulnerabilities, instant development environments, writing better code with AI, managing code changes, planning and tracking work, collaborating outside of code, and more. GitHub aims to accelerate human progress through developer collaboration, providing health, wellness, learning and development opportunities, remote work options, and comprehensive benefits for its global community of developers.

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.

The website is a GitHub Pages site that displays a 404 error message indicating that the requested page is not found. It provides information on setting up GitHub Pages for repositories, organizations, or user accounts. Users can refer to the full documentation for guidance on publishing a GitHub Pages site.

Weekly Github Insights is an AI-powered platform that provides users with a comprehensive summary of their latest GitHub activities from the past 7 days. It aims to keep users informed and motivated by compiling their weekly GitHub journey. The platform is built by @rohan_2502 using @aceternitylabs, @github APIs, and @OpenAI.

Qwen is an AI tool that focuses on developing and releasing various language models, including dense models, coding models, mathematical models, and vision language models. The Qwen family offers open-source models with different parameter ranges to cater to various user needs, such as production use, mobile applications, coding assistance, mathematical problem-solving, and visual understanding of images and videos. Qwen aims to enhance intelligence and provide smarter and more knowledgeable models for developers and users.

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.

Upscayl is a free AI-powered image upscaler that allows you to enlarge and enhance your images without losing quality. With Upscayl, you can increase the resolution of your images by up to 4x, making them perfect for printing, social media, or any other purpose. Upscayl is easy to use and requires no special skills or knowledge. Simply upload your image to the Upscayl website, select the desired enlargement factor, and click the "Upscale" button. Upscayl will then process your image and provide you with a high-quality, enlarged image.

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.

WizBoard is an AI keyboard and chat app that offers seamless integration into various apps and writing workflows. It is designed around the concept of AI-powered text transformation tools called Spells. Users can experience the convenience of having a personal writing assistant for tasks like writing emails, analyzing documents, and posting on social media. With a vast library of spells for different scenarios and advanced spell editing features, WizBoard aims to boost productivity and creativity. The app also supports multi-format message rendering and offers various subscription plans for users' convenience.

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.

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.

SceneDreamer is an AI tool that learns to generate unbounded 3D scenes from in-the-wild 2D image collections. It synthesizes large-scale 3D landscapes with diverse styles, 3D consistency, well-defined depth, and free camera trajectory. The framework is based on an efficient 3D scene representation, generative scene parameterization, and a neural volumetric renderer trained from 2D images.

Visual Studio is an integrated development environment (IDE) and code editor designed for software developers and teams. It offers a comprehensive set of tools and features to enhance every stage of software development, including code editing, debugging, building, and publishing applications. Visual Studio also includes compilers, code completion tools, graphical designers, and AI-powered coding assistance through GitHub Copilot integration.

Gitya is an AI-powered GitHub assistant designed to streamline your GitHub workflow by automating minor tasks and enhancing productivity. With features like GitHub App integration, AI-enhanced automation, PR management, and ticket automation, Gitya aims to help users spend less time on busywork and more time on high-impact engineering tasks. Users have praised Gitya for its ability to reduce time spent on bug fixes and PR management, ultimately leading to increased project efficiency and success.

AskTheCode is a powerful and versatile plugin designed to bridge the gap between ChatGPT and GitHub repositories. It allows developers to seamlessly analyze GitHub repositories and ask questions related to those repositories using ChatGPT. The tool supports universal language, works with both public and private repositories, and provides accurate results based on thoughtful prompts. AskTheCode aims to assist developers in exploring and understanding codebases, projects, and repository structures.

OSS Insight is an AI tool that provides deep insight into developers and repositories on GitHub, offering information about stars, pull requests, issues, pushes, comments, and reviews. It utilizes artificial intelligence to analyze data and provide valuable insights to users. The tool ranks repositories, tracks trending repositories, and offers real-time information about GitHub events. Additionally, it offers features like data exploration, collections, live blog, API integration, and widgets.

AIExh is a platform dedicated to discovering and following the hottest open-source AI projects. It serves as the #1 database for open-source AI, providing daily updates and recommendations. With a user base of over 1000 humans and 1000+ subscribers, AIExh covers a wide range of AI applications such as image identification, speech recognition, machine translation, and more. Users can explore various AI projects, submit their own projects, and stay updated on the latest advancements in artificial intelligence.

Instructor is a Typescript library for structured extraction in Typescript, powered by llms, designed for simplicity, transparency, and control. It stands out for its simplicity, transparency, and user-centric design. Whether you're a seasoned developer or just starting out, you'll find Instructor's approach intuitive and steerable.

Instructor for PHP is a library designed for structured data extraction in PHP, powered by Large Language Models (LLMs). It simplifies the process of extracting structured, validated data from unstructured text or chat sequences. Instructor enhances workflow by providing a response model, validation capabilities, and max retries for requests. It supports classes as response models and provides features like partial results, string input, extracting scalar and enum values, and specifying data models using PHP type hints or DocBlock comments. The library allows customization of validation and provides detailed event notifications during request processing. Instructor is compatible with PHP 8.2+ and leverages PHP reflection, Symfony components, and SaloonPHP for communication with LLM API providers.

Instructor is a popular Python library for managing structured outputs from large language models (LLMs). It offers a user-friendly API for validation, retries, and streaming responses. With support for various LLM providers and multiple languages, Instructor simplifies working with LLM outputs. The library includes features like response models, retry management, validation, streaming support, and flexible backends. It also provides hooks for logging and monitoring LLM interactions, and supports integration with Anthropic, Cohere, Gemini, Litellm, and Google AI models. Instructor facilitates tasks such as extracting user data from natural language, creating fine-tuned models, managing uploaded files, and monitoring usage of OpenAI models.

island-ai is a TypeScript toolkit tailored for developers engaging with structured outputs from Large Language Models. It offers streamlined processes for handling, parsing, streaming, and leveraging AI-generated data across various applications. The toolkit includes packages like zod-stream for interfacing with LLM streams, stream-hooks for integrating streaming JSON data into React applications, and schema-stream for JSON streaming parsing based on Zod schemas. Additionally, related packages like @instructor-ai/instructor-js focus on data validation and retry mechanisms, enhancing the reliability of data processing workflows.

Azure OpenAI Service provides REST API access to OpenAI's powerful language models including GPT-3, Codex and Embeddings. Users can easily adapt models for content generation, summarization, semantic search, and natural language to code translation. The workshop covers basics, prompt engineering, common NLP tasks, generative tasks, conversational dialog, and learning methods. It guides users to build applications with PowerApp, query SQL data, create data pipelines, and work with proprietary datasets. Target audience includes Power Users, Software Engineers, Data Scientists, and AI architects and Managers.

The LLM Engineer Toolkit is a curated repository containing over 120 LLM libraries categorized for various tasks such as training, application development, inference, serving, data extraction, data generation, agents, evaluation, monitoring, prompts, structured outputs, safety, security, embedding models, and other miscellaneous tools. It includes libraries for fine-tuning LLMs, building applications powered by LLMs, serving LLM models, extracting data, generating synthetic data, creating AI agents, evaluating LLM applications, monitoring LLM performance, optimizing prompts, handling structured outputs, ensuring safety and security, embedding models, and more. The toolkit covers a wide range of tools and frameworks to streamline the development, deployment, and optimization of large language models.

Awesome-LLMOps is a curated list of the best LLMOps tools, providing a comprehensive collection of frameworks and tools for building, deploying, and managing large language models (LLMs) and AI agents. The repository includes a wide range of tools for tasks such as building multimodal AI agents, fine-tuning models, orchestrating applications, evaluating models, and serving models for inference. It covers various aspects of the machine learning operations (MLOps) lifecycle, from training to deployment and observability. The tools listed in this repository cater to the needs of developers, data scientists, and machine learning engineers working with large language models and AI applications.

A curated list of Generative AI projects, tools, artworks, and models

This repository is an awesome list dedicated to resources for using Large Language Models (LLMs) to generate JSON or other structured outputs. It includes terminology explanations, hosted and local models, Python libraries, blog articles, videos, Jupyter notebooks, and leaderboards related to LLMs and JSON generation. The repository covers various aspects such as function calling, JSON mode, guided generation, and tool usage with different providers and models.

Agent Pilot is an open source desktop app for creating, managing, and chatting with AI agents. It features multi-agent, branching chats with various providers through LiteLLM. Users can combine models from different providers, configure interactions, and run code using the built-in Open Interpreter. The tool allows users to create agents, manage chats, work with multi-agent workflows, branching workflows, context blocks, tools, and plugins. It also supports a code interpreter, scheduler, voice integration, and integration with various AI providers. Contributions to the project are welcome, and users can report known issues for improvement.

Instructor is a tool designed to structure outputs from OpenAI and other OSS LLMs by coaxing them to return JSON that maps to a provided Ecto schema. It allows for defining validation logic to guide LLMs in making corrections, and supports automatic retries. Instructor is primarily used with the OpenAI API but can be extended to work with other platforms. The tool simplifies usage by creating an ecto schema, defining a validation function, and making calls to chat_completion with instructions for the LLM. It also offers features like max_retries to fix validation errors iteratively.

Instructor is a Python library that makes it a breeze to work with structured outputs from large language models (LLMs). Built on top of Pydantic, it provides a simple, transparent, and user-friendly API to manage validation, retries, and streaming responses. Get ready to supercharge your LLM workflows!

Benchmark various LLM Structured Output frameworks like Instructor, Mirascope, Langchain, LlamaIndex, Fructose, Marvin, Outlines, LMFormatEnforcer, etc on tasks like multi-label classification, named entity recognition, synthetic data generation. The tool provides benchmark results, methodology, instructions to run the benchmark, add new data, and add a new framework. It also includes a roadmap for framework-related tasks, contribution guidelines, citation information, and feedback request.

The Atomic Agents framework is a modular and extensible tool designed for creating powerful applications. It leverages Pydantic for data validation and serialization. The framework follows the principles of Atomic Design, providing small and single-purpose components that can be combined. It integrates with Instructor for AI agent architecture and supports various APIs like Cohere, Anthropic, and Gemini. The tool includes documentation, examples, and testing features to ensure smooth development and usage.

Atomic Agents is a modular and extensible framework designed for creating powerful applications. It follows the principles of Atomic Design, emphasizing small and single-purpose components. Leveraging Pydantic for data validation and serialization, the framework offers a set of tools and agents that can be combined to build AI applications. It depends on the Instructor package and supports various APIs like OpenAI, Cohere, Anthropic, and Gemini. Atomic Agents is suitable for developers looking to create AI agents with a focus on modularity and flexibility.

Neo4j Runway is a Python library that simplifies the process of migrating relational data into a graph. It provides tools to abstract communication with OpenAI for data discovery, generate data models, ingestion code, and load data into a Neo4j instance. The library leverages OpenAI LLMs for insights, Instructor Python library for modeling, and PyIngest for data loading. Users can visualize data models using graphviz and benefit from a seamless integration with Neo4j for efficient data migration.

Expert assistant for GitHub queries and guidance.

Compile instructions from the web and github for bioinformatics applications. Receive line-by-line instructions and commands to get started

Helps you build logic security into your GPTs custom instructions. Documentation: https://github.com/infotrix/SSLLMs---Semantic-Secuirty-for-LLM-GPTs

Clear, brief GitHub aid, for you

Finds GitHub projects for solo devs focused on profit.

Gives structure to messy GitHub issues.

GitHub-integrated AI for coding assistance and project management.

Translates GitHub issues from Japanese to English.

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

Generate your Github Readme

Updates on CVEs from GitHub repo in table format.

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.

专注匹配github各类代码,加以合成，支持用户API

Expert at fetching repository information from GitHub, Hugging Face. and you local repositories

Your comic creation copilot (https://github.com/cadin/panels)

主动且直观的 Git 和 GitHub 中文学习助手。

Helpful guide for GPT API integration and usage with GitHub integration

Factual, clear guidance based on Microsoft Learn and GitHub Docs. Ask me about cloud native solutions, GitHub collaboration or certifications.

Your go-to awesome MacOS software assistant. https://github.com/jaywcjlove/awesome-mac/

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! 😊🛠️)