Search Results for "draft"
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Showing 232 open source projects for "draft"
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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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jsonschema
An implementation of the JSON Schema specification for Python
jsonschema is an implementation of the JSON Schema specification for Python. Full support for Draft 2020-12, Draft 2019-09, Draft 7, Draft 6, Draft 4 and Draft 3. Lazy validation that can iteratively report all validation errors. Programmatic querying of which properties or items failed validation. -
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DeepSpec
A full-stack codebase for training and evaluating speculative decoding
DeepSpec is a full-stack codebase for training and evaluating draft models used in speculative decoding. It provides the components needed to prepare data, train draft models, and measure acceptance behavior against target models. The workflow starts with data preparation, including prompt download, target answer regeneration, and target cache construction. It then trains a draft model using configuration files for different algorithms and target model setups. ... -
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Java WebSockets
A barebones WebSocket client and server implementation
This repository contains a barebones WebSocket server and client implementation written in 100% Java. The underlying classes are implemented java.nio, which allows for a non-blocking event-driven model (similar to the WebSocket API for web browsers). The org.java_websocket.server.WebSocketServer abstract class implements the server-side of the WebSocket Protocol. A WebSocket server by itself doesn't do anything except establish socket connections though HTTP. After that it's up to your... -
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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DFlash
Block Diffusion for Ultra-Fast Speculative Decoding
DFlash is an open-source framework for ultra-fast speculative decoding using a lightweight block diffusion model to draft text in parallel with a target large language model, dramatically improving inference speed without sacrificing generation quality. It acts as a “drafter” that proposes likely continuations which the main model then verifies, enabling significant throughput gains compared to traditional autoregressive decoding methods that generate token by token. -
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A QUIC implementation in pure Go
A QUIC implementation in pure go
quic-go is an implementation of the QUIC protocol, RFC 9000 protocol in Go. In addition to RFC 9000, it currently implements the IETF QUIC draft-29. Support for draft-29 will eventually be dropped, as it is phased out of the ecosystem. We currently support Go 1.16.x and Go 1.17.x. See the example server. Starting a QUIC server is very similar to the standard lib http in go. Also, check out the example client. Use a http3.RoundTripper as a Transport in a http.Client. QUIC includes security measures that ensure confidentiality, integrity, and availability in a range of deployment circumstances. ... -
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nghttp2
HTTP/2 C Library and tools
...On top of that, we have implemented HTTP/2 client, server and proxy. We have also developed a load test and benchmarking tool for HTTP/2. We have participated in httpbis working group since HTTP/2 draft-04, which is the first implementation draft. Since then we have updated nghttp2 library constantly to the latest specification and nghttp2 is now one of the most mature HTTP/2 implementations. HTTP/2 utilizes header compression method called HPACK. We offer HPACK encoder and decoder are available as public API. nghttp2 library itself is a bit low-level. ... -
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wgpu
Safe and portable GPU abstraction in Rust, implementing WebGPU API
...The wgpu crate is meant to be an idiomatic Rust translation of the WebGPU API. That specification, along with its shading language, WGSL, are both still in the "Working Draft" phase. -
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AI-Researcher
AI-Researcher: Autonomous Scientific Innovation
...It lets users input high-level research goals or questions in natural language and then automatically plans, decomposes, and executes tasks such as literature surveying, summarization, synthesis, experiment design, and draft generation. The system integrates retrieval mechanisms to pull in external knowledge sources, contextually analyze documents and papers, and build structured representations of ideas and arguments that can later be turned into coherent reports or drafts. Rather than simply generating text from prompts, AI-Researcher orchestrates sequences of subtasks — such as extracting definitions, identifying key experiments, and tracking citations — and uses self-refinement loops to iteratively improve outputs. -
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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JSON Schema Validator
A fast Java JSON schema validator that supports draft V4, V6, V7, V201
This is a Java implementation of the JSON Schema Core Draft v4, v6, v7, v2019-09 and v2020-12(partial) specification for JSON schema validation. In addition, it also works for OpenAPI 3.0 request/response validation with some configuration flags. For users who want to collect information from a JSON node based on the schema, the walkers can help. The default JSON parser is the Jackson which is the most popular one. -
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np
A better `npm publish`
...Rolls back the project to its previous state in case publishing fails. Pushes commits and tags (newly & previously created) to GitHub/GitLab. Enables two-factor authentication on new repositories. Opens a prefilled GitHub Releases draft after publish. See exactly what will be executed with preview mode, without pushing or publishing anything remotely. -
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Phanpy
A minimalistic opinionated Mastodon web client
A minimalist web client for Mastodon that does things its way. Visually separate the original publications from the shared ones (driven publications). Follow the conversations smoothly. Semi-collapsible responses. Similar notifications are grouped and contracted to reduce clutter. By default, a single column for lovers of Zen mode. Adjustable multi-column mode for advanced users. -
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git absorb
git commit --fixup, but automatic
...Facebook demoed hg absorb which is probably the coolest workflow enhancement I've seen to version control in years. Essentially, when your working directory has uncommitted changes on top of draft changesets, you can run hg absorb and the uncommitted modifications are automagically folded ("absorbed") into the appropriate draft ancestor changesets. This is essentially doing hg histedit + "roll" actions without having to make a commit or manually make history modification rules. The command essentially looks at the lines that were modified, finds a changeset modifying those lines, and amends that changeset to include your uncommitted changes. ... -
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You Don't Know JS Yet
A book series (2 published editions) on the JS language.
...The project encourages readers to engage critically with the language, moving past memorization toward true mastery and mental clarity in coding. While some volumes are still in draft form or canceled, the available books remain highly influential learning materials in the JavaScript community. The repository also includes links to purchase editions via Leanpub and Amazon, ensuring accessibility for learners at all levels. -
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Tusky
An Android client for the microblogging server Mastodon
...It supports all Mastodon features, like photos, videos, lists, and custom emojis, and is designed according to material guidelines. You can choose between a dark, a light and a black theme in Tusky. It has notifications and a draft feature. Tusky is free and open source software licensed under the GPL-3.0. -
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Labeler
Label manager for PRs and Issues based on configurable conditions
An advanced, all-in-one GitHub Action enabling dynamic labeling of both issues and PRs based on a variety of configurable rules—covering metadata like age, author, branch, file changes, draft status, and more. A flexible tool for automating repository hygiene. -
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Goss
Quick and Easy server testing/validation
...Once the test suite is written they can be executed, waited-on, or served as a health endpoint. An initial set of tests can be derived from the system state by using the add or auto add commands. A Json draft 7 schema available in docs/goss-json-schema.yaml makes it easier to edit simple goss.yaml files in IDEs, providing usual coding assistance such as inline documentation, completion and static analysis. -
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Halo
Open-source blogging and content management system
Halo is a modern, powerful open-source blogging and content management system built with Java and Spring Boot. It is designed to be flexible, lightweight, and easy to deploy. Halo supports theming, markdown editing, multi-user roles, scheduled publishing, and a plugin architecture. With a responsive admin dashboard and RESTful APIs, Halo caters to developers and content creators who need a customizable self-hosted CMS alternative. -
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GitHub MCP Server
GitHub's official MCP Server
...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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No AI slop
Removes 20+ patterns of AI slop from any piece of writing
...It can also analyze a passage for these patterns without claiming to determine whether AI created it. When editing, it makes the minimum effective changes and returns the revised draft with a brief explanation. A built-in evaluation file provides pass-or-fail checks that the skill applies to its own work. The project can be installed in Claude Code, Codex, other AI harnesses, and packaged ChatGPT or Codex plugin environments. -
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CSGHub
CSGHub is a brand-new open-source platform for managing LLMs
CSGHub is an open-source framework designed for collaborative scientific research and content generation. It enables researchers to utilize AI-driven tools for literature review, hypothesis generation, and automated writing assistance, streamlining the scientific discovery process. -
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Eva.js
Eva.js is a front-end game engine for creating interactive projects
...Thanks to the ECS(Entity-Component-System) structure, you can expand your needs by highly customizable APIs. The only limitation is your imagination! Eva.js relies on canvas in HTML for drawing. If the width and height in the design draft are fixed (for example, 750px*1000px) and occupy the full screen, we can set the CSS width of the canvas to 100% and the height to auto. -
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Decap
A Git-based CMS for Static Site Generators
Open source content management for your Git workflow. Use Decap CMS with any static site generator for a faster and more flexible web project. Get the speed, security, and scalability of a static site, while still providing a convenient editing interface for content. Content is stored in your Git repository alongside your code for easier versioning, multi-channel publishing, and the option to handle content updates directly in Git. Decap CMS is built as a single-page React app. Create... -
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Book4_Power-of-Matrix
Book_4_Matrix Power | The Iris Book: From Addition, Subtraction
Book4_Power-of-Matrix is an open educational repository that forms part of the Visualize-ML book series, focusing on explaining matrix mathematics and linear algebra concepts through visual and intuitive methods. The project is designed to help readers progress from basic arithmetic toward machine learning fundamentals by building a strong conceptual understanding of vectors, matrices, and their operations. It combines explanatory text, diagrams, and Python examples to bridge theory and...
