Search Results for "source code computer" - Page 41
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7426 projects for "source code computer" with 1 filter applied:
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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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gzh-design-skill
An AI-agent skill that turns Markdown into paste-ready WeChat article
Source and output validators check prohibited markup, formatting conventions, and component quality, while the generated preview page includes a direct copy action. -
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Polyaxon
MLOps tools for managing & orchestrating the ML LifeCycle
...Polyaxon integrates seamlessly with Kubernetes and container orchestration so that workloads can be scheduled efficiently, GPU and CPU resources are shared, and distributed training across multiple nodes is straightforward. It supports connection to external Git repositories for source-controlled experiments, making it easy to pull code directly for runs and enabling continuous integration workflows with tools like GitHub Actions. -
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HSharp
HSharp is a library used to analyze markup language like HTML
...It groups together utilities, base classes, and conventions so that common app logic can be written faster and with less boilerplate. The repo acts as a sandbox for testing these patterns in real code, which is helpful if you want to see how the author structures services, models, or infrastructure concerns. Because it’s source-first, you can cherry-pick the parts you want into your own .NET apps and ignore the rest. The idea is to make everyday C# tasks (initialization, configuration, helpers) feel more concise and expressive. ... -
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Halfrost-Field Frostland
This is the place to blog
Halfrost-Field is a large public “knowledge and blog repository” maintained by a developer who documents a wide variety of computer-science, programming, and machine-learning content — from classic algorithms, ML fundamentals, to system design and broader engineering topics. The repository is structured like a personal technical blog/book: it contains “contents” directories with Markdown-based notes, tutorials and guides. For example, there is a full machine learning course outline... -
Host LLMs in Production With On-Demand GPUsDeploy your model, get an endpoint, pay only for compute time. No GPU provisioning or infrastructure management required.
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modern-cpp-features
A cheatsheet of modern C++ language and library features
Modern C++ Features is a reference guide and cheat sheet for major language and standard-library additions introduced in modern C++. It organizes material by language version, covering C++11, C++14, C++17, C++20, and C++23. Each section separates core language features from library features for easier scanning. Topics range from lambdas, constexpr, structured bindings, and concepts to coroutines, optional, filesystem, expected, and stack traces. Individual entries explain what a feature does... -
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Skitter Creek Bath Salts
Unlocking _everything_ on the CPU with DRAM scrambling
Skitter Creek Bath Salts is a security research project exploring how low-level DRAM address translation affects processor security boundaries. It demonstrates that changing memory-controller translation behavior can expose physical memory regions normally hidden from the operating system. The research targets AMD Family 16h processors, whose documentation describes relevant DRAM translation registers. Its examples examine protected areas associated with the Platform Security Processor,... -
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Termimad
A library to display rich (Markdown) snippets and texts
Termimad is a Rust library for displaying styled Markdown-inspired content inside command-line and terminal user interfaces. It separates textual structure and data from visual skins so applications can customize presentation cleanly. Supported formatting includes headings, emphasis, code, lists, quotes, tables, horizontal rules, and multiline text. The library handles wrapping, scrolling, table balancing, Unicode, and wide terminal characters. Developers can create reusable skins... -
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Precedent
An opinionated collection of components, hooks, and utilities
Precedent is an opinionated Next.js starter template that packages reusable components, hooks, utilities, and production-minded defaults. It provides a prepared foundation for teams that want to begin building an application without assembling every frontend dependency manually. The template combines Next.js and TypeScript with Tailwind CSS, Radix UI primitives, Framer Motion animations, Lucide icons, and optimized fonts. Clerk integration supplies ready-made user management and... -
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DevOps Roadmap 2026
DevOps Roadmap for 2026. with learning resources
DevOps Roadmap is a structured 2026 learning guide for people preparing for DevOps engineering roles. It presents the field as a sequence of practical competencies rather than a list of fashionable products. The path begins with Git, a programming language, Linux, scripting, networking, security, and server administration. It then advances through containers, Kubernetes, infrastructure as code, CI/CD, monitoring, observability, cloud platforms, and software engineering practices. A bonus... -
Build Securely on AWS with Proven FrameworksMoving to the cloud brings new challenges. How can you manage a larger attack surface while ensuring great network performance? Turn to Fortinet’s Tested Reference Architectures, blueprints for designing and securing cloud environments built by cybersecurity experts. Learn more and explore use cases in this white paper.
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jlens
Companion code for the global workspace interpretability paper
Jacobian Lens is Anthropic’s reference implementation for examining what a language model’s internal activations are inclined to produce as text. It transports residual-stream vectors from selected layers and positions into the final-layer basis using an averaged input-output Jacobian. The transformed vectors are decoded through the model’s own unembedding into ranked vocabulary predictions. The package can fit new lenses, load saved ones, apply them to prompts, and merge results from... -
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LingBot-Video
Scaling Mixture-of-Experts Video Pretraining for Embodied Intelligence
LingBot-Video is a large-scale mixture-of-experts video generation model focused on embodied intelligence. It is designed to connect video synthesis with physical-world understanding instead of generating only visually appealing clips. The project includes dense and MoE model variants for text-to-image, text-to-video, and text-image-to-video workflows. Its training combines large-scale web video data with more than 70,000 hours of embodied data. A multi-reward system emphasizes aesthetics,... -
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gpt-llm-trainer
Experimental notebook pipeline for creating language models
gpt-llm-trainer is an experimental notebook pipeline for creating task-specific fine-tuned language models from a plain task description. It reduces the work normally required to collect examples, format a dataset, split training and validation data, and run fine-tuning code. The system can generate prompts and responses with larger models, then prepare that synthetic dataset for model training. It includes workflows for LLaMA 2 7B, GPT-3.5 fine-tuning, and a Claude-to-LLaMA training... -
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Upscale-A-Video
Temporal-Consistent Diffusion Model for Real-World Video
Upscale-A-Video is a diffusion-based video super-resolution project from the CVPR 2024 Highlight paper “Temporal-Consistent Diffusion Model for Real-World Video Super-Resolution.” It upscales low-resolution videos while using text prompts to guide the enhancement process. The model is designed for real-world videos where compression artifacts, blur, aging, or generated-video defects can make ordinary upscaling less reliable. The repository includes inference code, example inputs,... -
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k8s_PaaS
How to deploy to PaaS/DevOps
k8s_PaaS is a hands-on Chinese tutorial project for building a complete PaaS and DevOps platform on top of Kubernetes. It teaches users how to deploy and connect core infrastructure components such as Kubernetes, Dashboard, Harbor, Jenkins, local GitLab, Apollo, Prometheus, Grafana, Spinnaker, Zookeeper, etcd, and related services. The repository is structured as a practical learning path with real deployment code, architecture design notes, operational screenshots, and extensive comments.... -
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Skills for coding agents
Skills for coding agents
BuilderIO Skills is a collection of small, composable skills for coding agents. It is made for teams that want agents to perform better in planning, review, orchestration, validation, documentation discipline, and clear communication. Instead of acting like a heavy process framework, it lets teams install only the skills they need and adapt them to their project. The catalog includes tools for visual planning, visual PR recaps, agent audits, plan comparison, autonomous execution, model... -
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MoonZoon
Rust Fullstack Framework
MoonZoon is a full-stack Rust web framework that enables developers to build reactive web applications using a unified Rust codebase for both frontend and backend logic. It is built around a reactive programming model where UI updates are automatically triggered by changes in application state, reducing the need for manual DOM manipulation or complex state management patterns. The framework leverages WebAssembly for the frontend, allowing Rust code to run directly in the browser while... -
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Pretext
Pure JavaScript/TypeScript library for multiline text measurement
Pretext is an experimental project that explores new ways of structuring and presenting textual or code-based content, with a strong emphasis on clarity, composability, and developer-oriented workflows. It is designed to rethink how text and structured information are authored, processed, and rendered, often focusing on minimal abstractions and highly readable formats. The project reflects a philosophy of reducing unnecessary complexity while still enabling powerful transformations and reuse... -
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self-llm
Tutorial tailored for Chinese babies on rapid fine-tuning
self-llm is an open source educational project created by the Datawhale community that serves as a practical guide for deploying, fine-tuning, and using open-source large language models on Linux systems. The repository focuses on helping beginners and developers understand how to run and customize modern LLMs locally rather than relying solely on hosted APIs. It provides step-by-step tutorials covering environment setup, model deployment, inference workflows, and efficient fine-tuning... -
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Toaster Frame
Android toast frame, dedicated to treating various difficult problems
Toaster is a lightweight Android utility library that enhances and standardizes toast message behavior across different devices and OS versions. The project addresses inconsistencies in native Android toast implementations by providing a more reliable and customizable messaging experience. It focuses on ensuring that toast notifications display correctly even on heavily customized Android skins. The library is designed for easy integration, allowing developers to replace default toast usage... -
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Flask-Migrate
SQLAlchemy database migrations for Flask applications using Alembic
Flask-Migrate is a Flask extension that integrates SQLAlchemy database migrations into Flask applications by leveraging Alembic, making schema changes easier and safer across development and deployment environments. It provides a set of command-line routines tied into Flask’s CLI such that developers can generate migration scripts, apply upgrades, and roll back changes with simple commands, keeping the database structure in sync with evolving application models. The extension handles... -
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Gemma in PyTorch
The official PyTorch implementation of Google's Gemma models
gemma_pytorch provides the official PyTorch reference for running and fine-tuning Google’s Gemma family of open models. It includes model definitions, configuration files, and loading utilities for multiple parameter scales, enabling quick evaluation and downstream adaptation. The repository demonstrates text generation pipelines, tokenizer setup, quantization paths, and adapters for low-rank or parameter-efficient fine-tuning. Example notebooks walk through instruction tuning and evaluation... -
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Practical ASP.NET Core
Practical samples of ASP.NET Core 10 RC
practical-aspnetcore is a repository containing hundreds of sample projects, micro-applications, and code snippets across multiple versions of .NET Core (including 2.1, 3.1, 5.0, 6.0, 7.0, 8.0, 9.0, 10 RC) to illustrate real-world patterns, advanced topics, and features in .NET Core development. It is intended as a hands-on learning resource for building web APIs, middleware, authentication, real-time, microservices, etc. -
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Integrant
Micro-framework for data-driven architecture
Integrant is a minimalistic micro-framework for building applications following a data-driven architecture. It lets you define system components declaratively as configuration data and handles lifecycle actions (init, halt, resume) in dependency order, serving as a modern alternative to Component or Mount. Integrant was built as a reaction to fix some perceived weaknesses with Component. In Component, systems are created programmatically. Constructor functions are used to build records,... -
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Reagent
A minimalistic ClojureScript interface to React.js
Reagent is a minimalistic ClojureScript interface to React that enables developers to write efficient React components using plain ClojureScript functions and data, leveraging a Hiccup-like syntax and immutable state to simplify UI creation. React is pretty darn fast, and so is Reagent. It should even be faster than plain old javascript React a lot of the time, since ClojureScript allows us to skip a lot of unnecessary rendering (through judicious use of React's shouldComponentUpdate). The... -
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Sakura Boot
Framework on top of spring-boot that helps create back-ends
This framework, built on top of Spring Boot, is designed to speed up the development of robust backends. It ensures adherence to best practices while allowing a high degree of customization. The framework is structured using a modular architecture, making it easy to add or remove features based on the project’s specific needs. While Spring Boot speeds up the development process, developers still require extensive knowledge, must ensure adherence to best practices, and often write repetitive...
