Search Results for "example" - Page 8
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Showing 2692 open source projects for "example"
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Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
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USO
Open-sourced unified customization model
...By decoupling style and subject, USO enables reuse of learned style/style-embeddings across different subjects, or vice versa, which makes generation more modular and controllable. The project provides tooling (in Python) including inference and workflow scripts, example configurations, and support for generation pipelines; and as of 2025, USO is also natively supported in some mainstream generative-art UI pipelines (e.g. ComfyUI) to ease adoption. -
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Generative AI Swift
This SDK is now deprecated, use the unified Firebase SDK
deprecated-generative-ai-swift is a Swift client and example scaffold for building generative AI apps using the Gemini models. Although marked “deprecated”, the repo demonstrates how to integrate Gemini inference into iOS and macOS apps via Swift APIs, providing boilerplate for prompt dispatching, streaming responses, UI integration, and error handling. It includes a sample app that showcases a chat interface, where users send messages and receive responses streamed in real time, with UI updates as tokens arrive. ... -
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Helmsman
Helm Charts as Code
Helmsman is a Helm Charts (k8s applications) as Code tool that allows you to automate the deployment/management of your Helm charts from version-controlled code. Helmsman uses a simple declarative TOML file to allow you to describe a desired state for your k8s applications as in the example toml file. Alternatively YAML declaration is also an acceptable example YAML file. Helmsman sees what you desire, validates that your desire makes sense (e.g. that the charts you desire are available in the repos you defined), compares it with the current state of Helm and figures out what to do to make your desire come true. -
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Goa
Design-based APIs and microservices in Go
...For example a service method payload may be built from an HTTP request by extracting values from the request path, headers and body. This clean separation of layers makes it possible to expose the same service using multiple transports. It also promotes good design where the service business logic concerns are expressed and implemented separately. -
Stop vibe-debugging.AppSignal's MCP server hands Claude, Cursor, or Zed your real errors, traces, and the deploy that shipped them. AI writes the fix; you review the diff.
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Open-AutoGLM
An open phone agent model & framework
Open-AutoGLM is an open-source framework and model designed to empower autonomous mobile intelligent assistants by enabling AI agents to understand and interact with phone screens in a multimodal manner, blending vision and language capability to control real devices. It aims to create an “AI phone agent” that can perceive on-screen content, reason about user goals, and execute sequences of taps, swipes, and text input via automated device control interfaces like ADB, enabling hands-off... -
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GitHub MCP Server
GitHub's official MCP Server
The GitHub MCP Server exposes GitHub as a Model Context Protocol server so AI assistants can safely act on repos, issues, pull requests, gists, and more through a consistent tool interface. It’s designed to run locally or remotely and then be attached to MCP-capable clients (for example, Copilot Chat) so an LLM can search code, open files, create branches, draft PRs, label or triage issues, and query metadata without hard-coding GitHub APIs. The server defines tools and resources with fine-grained scopes, leaning on GitHub’s auth to enforce least privilege and auditable access. It supports both stdio and HTTP transports, enabling IDE and headless integrations, and adopts common MCP behaviors like prompts, schemas, and tool definitions to keep agent calls predictable. ... -
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Spring PetClinic Sample Application
A Spring Framework application based on JSP, Spring MVC
A sample project to demonstrate the capabilities of the Spring Framework, commonly used in tutorials and learning. -
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interactive-examples
Home of the MDN live code editor interactive examples
Home of the MDN interactive code examples. The dynamically generated pages, their dependencies, and assets are generated to the prod branch. -
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Godo
DigitalOcean Go API client
...If you need to provide a context.Context to your new client, you should use godo.NewClient to manually construct a client instead. If a list of items is paginated by the API, you must request pages individually. Some endpoints offer token based pagination. For example, to fetch all Registry Repositories. Each version of the client is tagged and the version is updated accordingly. -
Go from Code to Production URL in SecondsSkip the Kubernetes configs. Cloud Run handles HTTPS, scaling, and infrastructure automatically. Two million requests free per month.
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libzip
A C library for reading, creating, and modifying zip archives.
...The API is documented by man pages. libzip is fully documented via man pages. HTML versions of the man pages are on libzip.org and in the man directory. You can start with libzip(3), which lists all others. Example source code is in the examples and src subdirectories. -
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GraphQL DataLoader
Implementation of Facebook's DataLoader in Golang
This is an implementation of Facebook's DataLoader in Golang. This implementation contains a very basic cache that is intended only to be used for short lived DataLoaders (i.e. DataLoaders that only exist for the life of an http request). You may use your own implementation if you want. it also has a NoCache type that implements the cache interface but all methods are noop. If you do not wish to cache anything. -
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Mistral Finetune
Memory-efficient and performant finetuning of Mistral's models
...It builds on techniques like LoRA (Low-Rank Adaptation) to allow customizing models without full parameter updates, which reduces GPU memory footprint and training cost. The repo includes utilities for data preprocessing (e.g. reformat_data.py), validation scripts, and example YAML configs for training variants like 7B base or instruct models. It supports function-calling style datasets (via "messages" keys) as well as plain text formats, with guidelines on formatting, tokenization, and vocabulary extension (e.g. extending vocab to 32768 for some models) before finetuning. The project also provides tutorial notebooks (e.g. mistral_finetune_7b.ipynb) to walk through the steps. -
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Machine Learning Octave
MatLab/Octave examples of popular machine learning algorithms
This repository contains MATLAB / Octave implementations of popular machine learning algorithms, along with explanatory code and mathematical derivations, intended as educational material rather than production code. Implementations of supervised learning algorithms (linear regression, logistic regression, neural nets). The author’s goal is to help users understand how each algorithm works “from scratch,” avoiding black-box library calls. Code written so as to expose and comment on... -
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Dependabot
Dependabot's core logic for creating update PR's
Dependabot-Core is the library at the heart of Dependabot security/version updates. Use it to generate automated pull requests updating dependencies for projects written in Ruby, JavaScript, Python, PHP, Dart, Elixir, Elm, Go, Rust, Java and .NET. It can also update git submodules, Docker files, and Terraform files. Check for the latest version of a dependency that's resolvable given a project's other dependencies. Generate updated manifest and lockfiles for a new dependency version.... -
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Mckay’s App Template
This is the template I use to start new full-stack projects
...The template includes a frontend built with Next.js, Tailwind CSS, and often UI components/frameworks like Shadcn + Framer Motion; a backend stack using PostgreSQL, Supabase, and Drizzle ORM for database operations; authentication via Clerk; and optional payment integration using Stripe. By providing a ready-to-go configuration (with example folder structure, database setup, auth, payment hooks, and environment templates), it lets developers skip the tedious initial setup and get straight to building product features. The template is ideal for startups, prototypes, or side-projects where you want a robust, production-grade starting point — with user accounts, auth, DB, and payments already wired up. -
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deep-q-learning
Minimal Deep Q Learning (DQN & DDQN) implementations in Keras
...It implements the core logic needed to train an agent using Q-learning with neural networks (i.e. approximating Q-values via deep nets), setting up environment interaction loops, experience replay, network updates, and policy behavior. For learners and researchers interested in reinforcement learning, this repo offers a concrete, runnable example bridging theory and practice: you can execute the code, play with hyperparameters, observe convergence behavior, and see how deep Q-learning learns policies over time in standard environments. Because it’s self-contained and Python-based, it's well-suited for experimentation, modifications, or extension — for instance adapting to custom Gym environments, tweaking network architecture, or combining with other RL techniques. -
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Live API Web Console
A react-based starter app for using the Live API over websockets
...Configuration lives in a simple .env file and the project boots with standard web tooling, letting you experiment quickly with models, system prompts, and tool declarations. It ships with demo branches that show grounded search, function calling, and visualization—one example has the model calling a function that renders Vega/Altair graphs directly in the UI. Under the hood there’s an event-emitting WebSocket client, an audio in/out processing layer, and a minimal scaffolded view so you can focus on your app logic rather than wiring. -
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Fluent Bit Plugin Amazon Kinesis Streams
A Fluent Bit output plugin for Kinesis Streams
...Nested partition key is supported and you can use -> to point to your target key which is nested under another key. For example, your partition_key could be kubernetes->pod_name. If you don't set a partition key or put an invalid one, a random key will be generated, and the logs will be directed to random shards. -
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doctest
Fastest feature-rich C++11/14/17/20 single-header testing framework
doctest is a new C++ testing framework but is by far the fastest both in compile times (by orders of magnitude) and runtime compared to other feature-rich alternatives. It brings the ability of compiled languages such as D / Rust / Nim to have tests written directly in the production code thanks to a fast, transparent and flexible test runner with a clean interface. The framework is and will stay free but needs your support to sustain its development. There are lots of new features and... -
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React Slick
React carousel component
This library is the port of jQuery slick library. React slick is a carousel component built with React. It is a react port of slick carousel. The easiest way to try out react-slick is using the Code Sandbox example. After you are done installing through yarn or npm, now you will have to include CSS in your project. But be aware slick-carousel has a peer-dependancy on jQuery which you, or your colleagues may not like to see in your console output, so you can always grab the CSS from there and convert it into any CSS in JS solution that you might be using. -
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Gollum
A simple, Git-powered wiki with a local frontend
A simple, Git-powered wiki with a local frontend and support for many kinds of markup and content. Gollum is a simple wiki system built on top of Git. A Gollum Wiki is simply a git repository of a specific nature. -
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ThuThesis
LaTeX Thesis Template for Tsinghua University
...This package establishes a simple and easy-to-use LaTeX template for Tsinghua dissertations, including general undergraduate research papers, masters theses, doctoral dissertations, and postdoctoral reports. This template is subject to frequent changes. Please make sure you have read the usage documentation and example code completely and carefully before using and asking questions. -
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Windows Presentation Foundation (WPF)
Framework for building Windows desktop applications
...This enables applications to look great on high DPI monitors, as they can be infinitely scaled. WPF also includes a flexible hosting model, which makes it straightforward to host a video in a button, for example. The visual designer provided in Visual Studio makes it easy to build WPF application, with drag-in-drop and/or direct editing of XAML markup. WinForms is another UI framework for building Windows desktop applications that is supported on .NET (6.0.x/5.0.x/3.1.x). WPF and WinForms applications only run on Windows. -
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SAM 3D Objects
Models for object and human mesh reconstruction
SAM 3D Objects is a foundation model that reconstructs full 3D geometry, texture, and spatial layout of objects and scenes from a single image. Given one RGB image and object masks (for example, from the Segment Anything family), it can generate a textured 3D mesh for each object, including pose and approximate scene layout. The model is specifically designed to be robust in real-world images with clutter, occlusions, small objects, and unusual viewpoints, where many earlier 3D-from-image systems struggle. It supports both single-object and multi-object generation, allowing you to reconstruct entire scenes rather than just isolated items. ... -
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handson-ml3
Fundamentals of Machine Learning and Deep Learning
...It guides readers through modern machine learning and deep learning workflows using Python, with examples spanning data preparation, supervised and unsupervised learning, deep neural networks, RL, and production-ready model deployment. The third edition updates the content for TensorFlow 2 and Keras, introduces new chapters (for example on reinforcement learning or generative models), and offers best-practice code that reflects current ecosystems. The notebooks are designed so you can run them locally or on Colab/online, making it accessible for learners regardless of infrastructure. The author includes solutions for exercises and sets up an environment specification so you can reproduce results. ...
