Search Results for "stage" - Page 5
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Showing 670 open source projects for "stage"
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gzh-design-skill
An AI-agent skill that turns Markdown into paste-ready WeChat article
gzh-design-skill is an AI-agent workflow that converts Markdown into polished HTML for the WeChat Official Account editor. It uses fully inline styling and platform-aware markup so pasted articles retain their formatting after WeChat filters the content. The skill recognizes headings, quotations, lists, code blocks, images, highlights, and other Markdown structures before assembling them from reusable components. Six built-in themes cover tutorials, reviews, essays, reports, technology... -
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image-blaster
An image-to-world skillset for Claude
...It uses Claude skills together with external generation services to create 3D environments, object meshes, Gaussian splats, and sound effects. The project is designed to accelerate early-stage 3D work by producing usable assets from visual references in just a few guided steps. It can generate dynamic object models, static environment captures, ambient loops, and object-specific physics sounds. The resulting assets can be used in game engines, 3D tools, and web-based graphics projects. image-blaster is best understood as an experimental agent workflow for quickly jumpstarting interactive worlds rather than a full 3D authoring suite. -
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Cognita
Open source RAG framework for building scalable modular AI apps
...It addresses the gap between quick experimentation in notebooks and the complexity of deploying scalable AI systems by introducing a modular and API-driven architecture. Cognita provides reusable components such as parsers, data loaders, embedders, retrievers, and query controllers, allowing teams to customize each stage of the RAG pipeline independently. It includes both a backend service and a frontend interface, enabling users to upload documents, experiment with configurations, and perform question-answering tasks interactively. Cognita supports incremental indexing, meaning it processes only new or updated data to reduce computational overhead and improve efficiency. -
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Parallax
Parallax is a distributed model serving framework
...Instead of relying on centralized GPU clusters in data centers, the system allows multiple heterogeneous machines to collaborate in serving AI inference workloads. Parallax divides model layers across different nodes and dynamically coordinates them to form a complete inference pipeline. A two-stage scheduling architecture determines how model layers are allocated to available hardware and how requests are routed across nodes during execution. This scheduling system optimizes latency, throughput, and hardware utilization even when nodes have different computational capabilities. The platform also supports model sharding and pipeline parallelism, allowing very large models to run across distributed resources. -
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DATAGEN
AI-driven multi-agent research assistant automating hypothesis
...The system coordinates multiple specialized AI agents that collaborate to perform tasks such as hypothesis generation, data collection, analysis, visualization, and report creation. Instead of requiring users to manually orchestrate each stage of a research process, the platform allows these agents to coordinate automatically and handle the workflow end-to-end. The project integrates several modern AI frameworks including LangChain, LangGraph, and large language models to manage reasoning and data processing tasks. Through this architecture, the system can combine structured data analysis with natural language reasoning to generate insights and research outputs. ... -
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video2robot
End-to-end pipeline converting generative videos
...This workflow allows users to generate robot motion files that specify joint angles, root positions, and orientations that can be deployed on supported robot platforms (e.g., Unitree models). Video2robot includes scripts for each stage of the pipeline (generation, extraction, conversion, visualization) and can run as a CLI or through a basic web UI. -
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X For You Feed Algorithm
Algorithm powering the For You feed on X
X For You Feed Algorithm is the open-sourced core recommendation system that powers the For You feed on X (the social network formerly known as Twitter), and it represents one of the first times a major social platform has published production-level ranking code for public review and experimentation. The repository contains the full pipeline that ingests user engagement and content candidate data, processes it through retrieval, hydration, filtering, scoring, and selection layers, and... -
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Coconut
Training Large Language Model to Reason in a Continuous Latent Space
Coconut is the official PyTorch implementation of the research paper “Training Large Language Models to Reason in a Continuous Latent Space.” The framework introduces a novel method for enhancing large language models (LLMs) with continuous latent reasoning steps, enabling them to generate and refine reasoning chains within a learned latent space rather than relying solely on discrete symbolic reasoning. It supports training across multiple reasoning paradigms—including standard... -
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Zine
Fast, Scalable, Flexible Static Site Generator (SSG)
A Zine site is a collection of content files and layouts. Zine turns your content into HTML, styles it using your layouts, and finally copies the result (alongside other assets like images) into an output directory that you can then publish on static hosting services like GitHub Pages. Zine uses a structured approach to content authoring that helps keep sizeable content collections manageable. Similarly, the build process uses surgical dependency tracking to ensure minimal rebuilds, keeping... -
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Kord
Idiomatic Kotlin Wrapper for The Discord API
Kord is still in an experimental stage, as such we can't guarantee API stability between releases. While we'd love for you to try out our library, we don't recommend you use this in production just yet. Kord was created as an answer to the frustrations of writing Discord bots with other JVM libraries, which either use thread-blocking code or verbose and scope-restrictive reactive systems. -
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IMS Toucan
Controllable and fast Text-to-Speech for over 7000 languages
IMS-Toucan is a toolkit for training, using, and teaching state-of-the-art text-to-speech systems, built at the Institute for Natural Language Processing (IMS), University of Stuttgart. It is the official home of ToucanTTS, a massively multilingual TTS system designed to support over 7,000 languages with a single unified framework. The toolkit focuses on being fast and controllable while not requiring huge amounts of compute, making it practical for research labs and smaller teams. It... -
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Jenkins-Zero-To-Hero
Install Jenkins and configure Docker
...The course is designed around running Jenkins on an AWS EC2 instance, guiding you through installing Java, configuring Jenkins, and exposing it safely via security group rules. From there, it covers installing plugins like Docker Pipeline, configuring Docker as an agent, and wiring up multi-stage and multi-agent pipelines. The folder structure includes practical examples such as java-maven-sonar-argocd-helm-k8s and python-jenkins-argocd-k8s, showing real CI/CD flows that build, test, analyze, containerize, and deploy apps to Kubernetes via Argo CD in a GitOps style. The README walks through detailed step-by-step commands and screenshots, making it accessible to beginners who are unfamiliar with Jenkins, AWS, or pipelines. -
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Brakeman
A static analysis security vulnerability scanner for Ruby on Rails app
Brakeman is a free vulnerability scanner specifically designed for Ruby on Rails applications. It statically analyzes Rails application code to find security issues at any stage of development. Brakeman now uses the parallel gem to read and parse files in parallel. By default, parallel will split the reading/parsing into a number of separate processes based on number of CPUs. In testing, this has dramatically improved speed for large code bases, around 35% reduction in overall scan time. Brakeman will now track and return very simple literal values (e.g. strings, hashes of literals, arrays of literals) from very simple class methods (e.g. single line). ... -
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ECMAScript
Status, process, and documents for ECMA-262
The most accurate and up-to-date ECMAScript specification. It contains the content of the most recent yearly snapshot plus any finished proposals (those that have reached Stage 4 in the proposal process and thus are implemented in several implementations and will be in the next practical revision) since that snapshot was taken. This Ecma Standard defines the ECMAScript 2022 Language. It is the twelfth edition of the ECMAScript Language Specification. Since publication of the first edition in 1997, ECMAScript has grown to be one of the world's most widely used general-purpose programming languages. ... -
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GC Build official builder images
Builder images and examples commonly used for Google Cloud Build
...The repository includes a wide range of builders for different languages, tools, and workflows, enabling flexible and extensible pipeline design. It supports the concept of containerized build steps, where each stage of the pipeline runs in an isolated environment, improving reproducibility and consistency across builds. Developers can also create custom builders tailored to their specific workflows, integrating them seamlessly into Cloud Build configurations. This approach simplifies complex automation processes by breaking them into reusable components that can be chained together declaratively. -
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Ling-V2
Ling-V2 is a MoE LLM provided and open-sourced by InclusionAI
...It introduces highly sparse architectures where only a fraction of the model’s parameters are activated per input token, enabling models like Ling-mini-2.0 to achieve reasoning and instruction-following capabilities on par with much larger dense models while remaining significantly more computationally efficient. Trained on more than 20 trillion tokens of high-quality data and enhanced through multi-stage supervised fine-tuning and reinforcement learning, Ling-V2’s models demonstrate strong general reasoning, mathematical problem-solving, coding understanding, and knowledge-intensive task performance. -
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Synthetic Data Kit
Tool for generating high quality Synthetic datasets
Synthetic Data Kit is a CLI-centric toolkit for generating high-quality synthetic datasets to fine-tune Llama models, with an emphasis on producing reasoning traces and QA pairs that line up with modern instruction-tuning formats. It ships an opinionated, modular workflow that covers ingesting heterogeneous sources (documents, transcripts), prompting models to create labeled examples, and exporting to fine-tuning schemas with minimal glue code. The kit’s design goal is to shorten the “data... -
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Ring
Ring is a reasoning MoE LLM provided and open-sourced by InclusionAI
Ring is a reasoning Mixture-of-Experts (MoE) large language model (LLM) developed by inclusionAI. It is built from or derived from Ling. Its design emphasizes reasoning, efficiency, and modular expert activation. In its “flash” variant (Ring-flash-2.0), it optimizes inference by activating only a subset of experts. It applies reinforcement learning/reasoning optimization techniques. Its architectures and training approaches are tuned to enable efficient and capable reasoning performance.... -
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Nerves
Craft and deploy bulletproof embedded software in Elixir
...Nerves use the Erlang runtime system, known for being distributed, fault-tolerant, soft real-time, and highly available. Nerves has the tools you need to manage every stage of your IoT project, the Nerves Project to build and customize, and NervesHub to deploy and manage your fleets of devices. Avoid hidden bugs and vulnerabilities with Nerves' secure opt-in approach to building. Nerves start minimal and guide you towards security best practices. Nerves helps you bring the principles of agile development to your IoT development cycle. ... -
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Komiser
Cloud environment inspector
Stay under budget by uncovering hidden costs, monitoring increases in spending, and making impactful changes based on customer recommendations. Komiser CE is a free and Open Source project with the goal to create an open cloud cost optimization project with the support of all major public cloud providers. In the last months, we’ve more than doubled our OSS downloads and expanded our community footprint. This is possible because the tool works solves real problems, and is embraced by... -
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The Alignment Handbook
Robust recipes to align language models with human and AI preferences
The Alignment Handbook is an open-source resource created to provide practical guidance for aligning large language models with human preferences and safety requirements. The project focuses on the post-training stage of model development, where models are refined after pre-training to behave more helpfully, safely, and reliably in real-world applications. It provides detailed training recipes that explain how to perform tasks such as supervised fine-tuning, preference modeling, and reinforcement learning from human feedback. The handbook also includes reproducible workflows for training instruction-following models and evaluating alignment quality across different datasets and benchmarks. ... -
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Build Your Own OpenClaw
A step-by-step guide to build your own AI agent
Build Your Own OpenClaw is a step-by-step educational framework that teaches developers how to construct a fully functional AI agent system from scratch, gradually evolving from a simple chat loop into a multi-agent, production-ready architecture. The project is structured into 18 progressive stages, each introducing a new concept such as tool usage, memory persistence, event-driven design, and multi-agent coordination, with each step including both explanatory documentation and runnable... -
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kg-gen
Knowledge Graph Generation from Any Text
kg-gen is an open-source framework developed by the STAIR Lab that automatically generates knowledge graphs from unstructured text using large language models. The system is designed to transform plain text sources such as documents, articles, or conversation transcripts into structured graphs composed of entities and relationships. Instead of relying on traditional rule-based extraction techniques, KG-Gen uses language models to identify entities and their relationships, producing... -
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SwiftLint
A tool to enforce Swift style and conventions
...You might want to move your SwiftLint phase directly before ‘Compile Sources’ step, to detect errors quickly before compiling. However, SwiftLint is designed to run on valid Swift code that cleanly completes the compiler’s parsing stage. So running SwiftLint before ‘Compile Sources’ might yield some incorrect results. SwiftLint hooks into SourceKit so it continues working even as Swift evolves! This also keeps SwiftLint lean, as it doesn’t need to ship with a full Swift compiler, it just communicates with the official one you already have installed on your machine. -
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Pokémon Cards CSS
Collection of advanced CSS styles to create realistic-looking effects
...It defines layouts, frames, typography, and image placeholders to mimic the look of real Pokémon trading cards, enabling users to create “virtual cards” with custom content. Because the design is built into CSS, cards respond to responsive constraints and adjust nicely across devices. The project supports common card types (basic, stage, trainer, etc.), and includes classes to manage energy symbols, attack boxes, and flavor text. Many community users combine it with JavaScript to dynamically generate cards from data (e.g. Pokédex entries or user input). It offers a playful, educational example of what you can achieve with modern CSS, especially in combining design fidelity with flexible markup.
