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Published directory entries matching your search.
The Core torch7 demos repository is an open-source GitHub project that provides demos and tutorials for the Torch7 machine learning framework. It includes installation guides, Torch7 tutorials, and tutorials for third-party Torch7 packages.
GitHub Copilot is an AI coding agent from GitHub that assists across the workflow, from an open issue to reviewing and merging a pull request. It works in the editor, the terminal, on the desktop and on GitHub. Users can assign tasks to Copilot and third-party agents such as Claude by Anthropic and OpenAI Codex.
Awesome AutoML Papers is a GitHub-hosted curated list focused on automated machine learning (AutoML). It aggregates academic papers, articles, tutorials, slide decks, and related projects in the AutoML field, serving as a centralized reference for users exploring automated machine learning research and developments.
A curated GitHub list of federated learning system papers, articles, tutorials, slides and projects. It groups entries such as systems from big tech companies, vertical FL, open-source frameworks, edge and mobile systems, optimization, security and privacy, applications and surveys. Papers reviewed and presented at academic conferences are marked with a graduation cap symbol.
A GitHub repository collecting AI learning resources, including over 100 cheat-sheets, free online books, courses, videos and lectures, papers, tutorials, researchers, websites, datasets, conferences, frameworks and tools. Topics include machine learning, deep learning, big data, data science and Python.
Ccusage is a GitHub repository or organization with source code, releases, documentation, or project resources.
Cline is a GitHub repository or organization with source code, releases, documentation, or project resources.
Devv AI is an AI-powered search engine designed for developers, providing fast and accurate results to programming-related queries. Its GitHub repository is issues-only, used for bug reports, feature requests, questions and feedback about the tool.
GitWit is described as an open source, AI-native coding platform intended for building ideas. The site also presents an AI Editor with AI-powered suggestions and real-time collaboration for building, testing, and deploying.
go-dnn is a GitHub repository that provides deep neural network functionality for the Golang programming language, powered by MXNet. The repository notes an updated version of the project is hosted at a separate GitHub location.
Langfuse is a GitHub repository or organization with source code, releases, documentation, or project resources.
Open Interpreter is a GitHub repository or organization with source code, releases, documentation, or project resources.
Ponytail is a GitHub repository or organization with source code, releases, documentation, or project resources.
Repomix is a GitHub-hosted tool that compresses an entire software repository into a single AI-friendly file for use with large language models and other AI tools including Claude, ChatGPT, DeepSeek, Perplexity, Gemini, Gemma, Llama and Grok.
A guide to MLOps is an open-source tutorial from the Swiss AI Center team that walks engineers and small teams from notebook experiments to production. It covers local training and model evaluation, moving the model to the cloud, serving and deploying, monitoring and maintaining, and labeling data and retraining, using tools such as DVC, Git, GitHub Actions, CML, Docker, BentoML, Fluent Bit, Evidently AI, and Label Studio.
A GitHub repository for generating retro pixel game characters with generative adversarial networks. It includes the TinyHero dataset of 64x64 pixel characters generated from the Universal LPC spritesheet, with 3648 images. Notebooks cover a DCGAN based on the PyTorch tutorial, a conditional DCGAN and a deep convolutional autoencoder. Art is dual licensed under GPL 3.0 and CC-BY-SA 3.0.
Agency is an open-source GitHub repository maintained by neurocult. It is a Go-language library intended to help developers explore large language models and other generative AI tools through a clean, effective, Go-idiomatic interface. The project provides quick start guides, feature documentation, and tutorials for users.
Aider is an AI pair programming tool that runs in the terminal. It connects to cloud or local LLMs to start new projects or build on existing codebases, maps the codebase, and works with many programming languages. Changes are committed automatically with git, and aider can lint and test code after edits.
Auto ViML automatically builds multiple machine learning models with a single line of code. It was created by Ram Seshadri, and collaborators are welcome with permission. The tool is available on GitHub.
A curated GitHub list of resources for ChatGPT and GPT-3 from OpenAI. It covers general resources such as the ChatGPT official app and API documentation, API tools, Chrome extensions, bots for platforms including Telegram, WhatsApp, Slack, Discord and Twitter, IDE plugins, desktop apps, tutorials, applications, CLI tools and example prompts.
Awesome Machine Learning with Ruby is a GitHub-hosted curated list of resources for machine learning development using the Ruby programming language. It includes tutorials and machine learning libraries for Ruby users.
A curated GitHub list of TensorFlow experiments, libraries and projects, with sections for tutorials, models, tools, videos, papers and books. It describes TensorFlow as an open source software library for numerical computation using data flow graphs.
Bolt.new is an AI-powered web development agent for prompting, running, editing, and deploying full-stack applications from the browser without local setup. It uses StackBlitz WebContainers to run npm tools, Node.js servers, and third-party APIs, giving AI models control over the filesystem, terminal, and package manager.
Brain.js is a GitHub-hosted JavaScript library for building and running neural networks. It provides GPU-accelerated neural network functionality compatible with both web browsers and Node.js environments, allowing users to implement machine learning models using JavaScript across different runtime platforms.
