Search Results for "build" - Page 79
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Showing 9228 open source projects for "build"
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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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MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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Go Jsonnet
This an implementation of Jsonnet in pure Go
...Instead of hand-maintaining massive JSON files, you write concise, reusable templates that evaluate to JSON or YAML, with deterministic semantics and rich error messages. The repository ships both an embeddable VM for Go programs and a command-line interpreter, making it easy to integrate templating into build systems, CLIs, and services. Import paths and custom resolvers let you structure large configuration trees across directories or remote sources, while top-level arguments and external variables parameterize builds per environment. Native functions can be registered from Go to expose domain-specific helpers without forking the language. ... -
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BoringSSL
Mirror of BoringSSL
...Google products that use BoringSSL ship their own copies and update them as needed, enabling faster iteration without legacy constraints. BoringSSL includes comprehensive API documentation, build instructions, and guidance for porting code from OpenSSL. -
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Oboe
Oboe is a C++ library that makes it easy to build high-performance
oboe is a C++ library for building high-performance audio apps on Android, providing a unified, low-latency API over AAudio and OpenSL ES. It abstracts device and API-version differences so developers can focus on audio processing instead of platform quirks. The library emphasizes minimal latency and glitch-free playback/recording via tuned buffer strategies and callback-driven I/O. It supports features like floating-point audio, channel configuration, sample-rate negotiation, and stream... -
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Penzai
A JAX research toolkit to build, edit, & visualize neural networks
Penzai, developed by Google DeepMind, is a JAX-based library for representing, visualizing, and manipulating neural network models as functional pytree data structures. It is designed to make machine learning research more interpretable and interactive, particularly for tasks like model surgery, ablation studies, architecture debugging, and interpretability research. Unlike conventional neural network libraries, Penzai exposes the full internal structure of models, enabling fine-grained... -
Train ML Models With SQL You Already KnowBuild and deploy ML models using familiar SQL. Automate data prep with built-in Gemini. Query 1 TB and store 10 GB free monthly.
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4M
4M: Massively Multimodal Masked Modeling
...The repository releases code and models for multiple variants (e.g., 4M-7 and 4M-21), emphasizing transfer to unseen tasks and modalities. Training/inference configs and issues discuss things like depth tokenizers, input masks for generation, and CUDA build questions, signaling active research iteration. The design leans into flexibility and steerability, so prompts and masks can shape behavior without bespoke heads per task. In short, 4M provides a unified recipe to pretrain large multimodal models that generalize broadly while remaining practical to fine-tune. -
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Purple Llama
Set of tools to assess and improve LLM security
Purple Llama is an umbrella safety initiative that aggregates tools, benchmarks, and mitigations to help developers build responsibly with open generative AI. Its scope spans input and output safeguards, cybersecurity-focused evaluations, and reference shields that can be inserted at inference time. The project evolves as a hub for safety research artifacts like Llama Guard and Code Shield, along with dataset specs and how-to guides for integrating checks into applications. -
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xFormers
Hackable and optimized Transformers building blocks
...The library includes memory-efficient operator implementations in both Python and optimized C++/CUDA, ensuring that performance isn’t sacrificed for modularity. It also integrates with PyTorch seamlessly so you can drop in its blocks to existing models, replace default attention layers, or build new architectures from scratch. xformers includes training, deployment, and memory profiling tools. -
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GenAI Processors
GenAI Processors is a lightweight Python library
...Its central abstraction is the Processor, a unit of work that consumes an asynchronous stream of parts (text, images, audio, JSON) and produces another stream, making it natural to chain operations and keep everything streaming end-to-end. Processors can be composed sequentially (to build multi-step flows) or in parallel (to fan-out work and merge results), which makes sophisticated agent behaviors easy to express with simple operators. The library offers built-in processors for classic turn-based Gemini calls as well as Live API streaming, so you can mix “batch” and real-time interactions in the same graph. It leans on Python’s asyncio to coordinate concurrency, handle network I/O, and juggle background compute threads without blocking. -
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OpenAI Cookbook
Examples and guides for using the OpenAI API
openai-cookbook is a repository containing example code, tutorials, and guidance for how to build real applications on top of the OpenAI API. It covers a wide range of use cases: prompt engineering, embeddings and semantic search, fine-tuning, agent architectures, function calling, working with images, chat workflows, and more. The content is primarily in Python (notebooks, scripts), but the conceptual guidance is applicable across languages. -
$300 Free Credits to Build on Google CloudStart your next project with $300 in free Google Cloud credit. Spin up VMs, run containers, query petabytes in BigQuery, or build agents with Gemini Enterprise Agent Platform. Once your credits are used, keep building with 20+ always-free tier products including Compute Engine, Cloud Storage, GKE, and Cloud Run functions. No commitment required—just sign up and start building.
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gitignore.io
Create useful .gitignore files for your project
...The generator accepts multiple technologies in one request, normalizes duplicates, and orders rules sensibly so the result is readable and effective. Templates are versioned and updated over time as tools evolve, helping teams avoid accidentally committing build artifacts, credentials, caches, and other noisy files. The repository includes documentation, example invocations, and contribution guidelines so users can add or refine templates. -
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Fast-Kubernetes
This repo covers Kubernetes with LABs: Kubectl, Pod, Deployment
Fast-Kubernetes is a practical, hands-on repository that explains Kubernetes concepts and walks users through dozens of bite-size labs and examples. The content is organized as Markdown how-tos and cheat-sheets covering core objects and workflows — Pods, Deployments, Services, ConfigMaps, Secrets, PV/PVC, StatefulSets, DaemonSets, Jobs/CronJobs, Ingress, affinity/taints, and more — plus command-line kubectl quick references. It also includes end-to-end cluster setup guides (kubeadm with... -
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TerraGov Marine Corps
TGMC: TerraGov Marine Corps, a SS13 mod
TerraGov Marine Corps (TGMC) is an open source multiplayer game built on the BYOND engine, forked from the Space Station 13 (SS13) codebase. It is a tactical, role-playing game that pits groups of human marines against alien forces in large-scale, cooperative and competitive scenarios. The project focuses heavily on teamwork, coordination, and immersive gameplay, providing players with different roles such as engineers, medics, or combat marines to ensure strategic variety. TGMC offers a... -
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The Missing Semester
The Missing Semester of Your CS Education
The Missing Semester is a course and repository that teaches the engineering skills often skipped in traditional computer science curricula: command-line fluency, shell scripting, editors, version control, debugging, data wrangling, and automation. It includes lecture notes, exercises, and sample solutions that encourage hands-on practice rather than passive reading. The curriculum demystifies tools like bash, vim, git, and make, showing how to combine them into efficient workflows that... -
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PLT (Programming Languages Theory)
Programming Language Theory
...It spans foundational topics like lambda calculus, type systems, interpreters, compilers, and formal semantics, while also pointing to contemporary areas such as effect systems, dependent types, and verification. Each section clusters materials by theme so learners can build understanding step by step instead of grazing at random. The list emphasizes primary sources and high-quality lectures, encouraging readers to engage with rigorous treatments rather than superficial summaries. It’s designed to serve both as a starting guide for newcomers and as a reference index for experienced practitioners, filling in gaps. ... -
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Generative AI for Beginners (Version 3)
21 Lessons, Get Started Building with Generative AI
Generative AI for Beginners is a 21-lesson course by Microsoft Cloud Advocates that teaches the fundamentals of building generative AI applications in a practical, project-oriented way. Lessons are split into “Learn” modules for core concepts and “Build” modules with hands-on code in Python and TypeScript, so you can jump in at any point that matches your goals. The course covers everything from model selection, prompt engineering, and chat/text/image app patterns to secure development practices and UX for AI. It also walks through modern application techniques such as function calling, RAG with vector databases, working with open source models, agents, fine-tuning, and using SLMs. ... -
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Napkin
An Infinitely Large Napkin
Napkin (also titled “An Infinitely Large Napkin”) is a lightweight, semi-formal introduction to higher mathematics, aimed at giving readers a bird’s-eye view over various mathematical fields. It is not a polished textbook full of full proofs; rather it offers clean definitions, theorem statements, intuitive motivations, and informal sketches of why things work, with the goal of building conceptual understanding. The coverage spans undergraduate and early graduate topics, designed to show how... -
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RustPython
A Python Interpreter written in Rust
RustPython is an implementation of the Python programming language written in Rust. Its goal is to provide a fast, embeddable, and secure interpreter that can be integrated into Rust applications or used standalone. Because it’s in Rust, it benefits from memory safety and modern tooling, allowing developers to compile Python into efficient binaries or embed it as a scripting engine in Rust projects. The interpreter aims to support the Python standard library, dynamic typing, garbage... -
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Linera Protocol
Main repository for the Linera protocol
Linera Protocol is a blockchain or distributed ledger architecture designed for scalable and composable execution across shared state shards. It emphasizes linearizability, causal consistency, and determinism by structuring cross-domain interactions through explicit protocols and asynchronous messaging. Each domain (shard) handles its own commands and state transparently; inter-domain operations rely on well-defined messaging layers and proofs to preserve consistency without central... -
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Hanami
A flexible framework for maintainable Ruby apps
...It emphasizes separation of concerns, encouraging developers to structure applications into clear layers of controllers, views, entities, and repositories. Each component—like the router, model layer, or view rendering engine—can be used independently, which gives developers flexibility to build lean applications. Hanami promotes immutability, plain old Ruby objects, and minimized global state, which makes codebases more maintainable and testable. It supports multi-application setups within the same project, making it well-suited for larger service-oriented architectures. The framework is designed to provide Rails-like productivity while encouraging more explicit architecture and performance-conscious choices. -
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Sinatra
Classy web-development dressed in a DSL
Sinatra is a minimalist Ruby web framework that focuses on simplicity and flexibility, letting developers define web applications in just a few lines of code. Its DSL maps routes directly to Ruby blocks, making it straightforward to build APIs, small services, and quick prototypes without the overhead of full-stack frameworks like Rails. Despite its simplicity, Sinatra supports middleware, templates, sessions, filters, and helpers, so it can grow with more complex requirements. The framework is Rack-based, which means it is highly compatible with the Ruby web ecosystem and can plug into larger applications as a lightweight component. ... -
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Brick
A declarative Unix terminal UI library written in Haskell
Brick is a Haskell terminal user interface (TUI) programming toolkit that enables developers to build rich, responsive terminal applications via a declarative model: you define a pure function that renders the UI from application state and supply state transition logic to handle events. brick exposes a declarative API. Unlike most GUI toolkits which require you to write a long and tedious sequence of widget creations and layout setup, brick just requires you to describe your interface using a set of declarative layout combinators. ... -
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MooseStack
The developer framework for building analytical backends
MooseStack is an opinionated starter stack that assembles a modern web application foundation—project structure, build tooling, and deployment scripts—so teams can get from “blank repo” to a working product quickly. It provides a coherent layout for server and client code, standardizes environment configuration, and includes scripts to run the app locally with the same conventions you’ll use in staging or production. The stack favors convention over configuration: common decisions around linting, testing, and packaging are prewired so developers can focus on features rather than wiring. ... -
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Nerve
The Simple Agent Development Kit
...It supports declarative setups, tool integration, workflow pipelines, and both MCP client and server roles. Nerve is a simple yet powerful Agent Development Kit (ADK) to build, run, evaluate, and orchestrate LLM-based agents using just YAML and a CLI. It’s designed for technical users who want programmable, auditable, and reproducible automation using large language models. Define agents using a clean YAML format: system prompt, task, tools, and variables — all in one file. -
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Eko
Build Production-ready Agentic Workflow with Natural Language
Eko (Eko Keeps Operating) is a JavaScript framework designed for building production-ready agent-based workflows using natural language commands. It allows developers to create automated agents that can handle complex workflows in both computer and browser environments. With a focus on high development efficiency, Eko simplifies the creation of multi-step workflows, enabling users to integrate and automate tasks across platforms. It provides a unified interface for managing agents, offering... -
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hmpl
Server-oriented customizable templating for JavaScript
...Full customization of the request based on the modern fetch standard, as well as support for all the functionality necessary for modern work in applications (request indicator, sending by event, automatic generation of body for the form, caching) and the syntax of the object in the markup, which requires a minimum number of characters, will help to build interaction with the server and client as efficiently as possible.
