Search Results for "ace-step"
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Showing 1803 open source projects for "ace-step"
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ACE-Step 1.5
The most powerful local music generation model
...Beyond straightforward text-to-music synthesis, ACE-Step 1.5 enables flexible creative workflows, including tasks like cover generation, editing existing tracks, transforming vocals to background accompaniment, and stylistic personalization using low-rank adaptation from just a few example songs. -
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ACE-Step UI
The Ultimate Open Source Suno Alternative
ACE-Step UI is a frontend interface designed to visualize and interact with step-based processes, often used in AI workflows or multi-stage pipelines. It provides a structured way to display sequences of actions, decisions, and outputs in a clear and interactive format. The interface is useful for debugging, monitoring, or presenting step-by-step execution of complex systems. -
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Sequel Ace
MySQL/MariaDB database management for macOS
Sequel Ace is the "sequel" to the longtime macOS tool Sequel Pro. Sequel Ace is a fast, easy-to-use Mac database management application for working with MySQL & MariaDB databases. -
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Ace Editor
Ace (Ajax.org Cloud9 Editor)
Ace is an embeddable code editor written in JavaScript. It matches the features and performance of native editors such as Sublime, Vim and TextMate. It can be easily embedded in any web page and JavaScript application. Ace is maintained as the primary editor for Cloud9 IDE and is the successor of the Mozilla Skywriter (Bespin) project. -
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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React-Ace
React Ace Component
A set of react components for Ace. -
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Step-Audio
Open-source framework for intelligent speech interaction
...Through its architecture, Step-Audio supports multilingual interaction, dialects, emotional tones (joy, sadness, etc.), and even more creative speech styles (like rap or singing), while allowing dynamic control over speech characteristics. It also provides a “generative data engine,” which can produce synthetic speech data (cloning voices, varying style) to support TTS training. -
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Step Certificates
A private certificate authority (X.509 & SSH) & ACME server
Open Source step-ca provides the infrastructure, automations, and workflows to securely create and operate a private certificate authority. step-ca makes it easy for developers, operators and security teams to manage certificates for production workloads. Get a public key infrastructure and certificate authority running in minutes. Automate enrollment using ACME, OIDC, one-time tokens, cloud APIs and more. -
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Step 3.5 Flash
Fast, Sharp & Reliable Agentic Intelligence
Step 3.5 Flash is a cutting-edge, open-source large language model developed by StepFun-AI that pushes the frontier of efficient reasoning and “agentic” intelligence in a way that makes powerful AI accessible beyond proprietary black boxes. Unlike dense models that activate all their parameters for every token, Step 3.5 Flash uses a sparse Mixture-of-Experts (MoE) architecture that selectively engages only about 11 billion of its roughly 196 billion total parameters per token, delivering high-quality reasoning and interaction at far lower compute cost and latency than traditional large models. ... -
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Step-Audio-EditX
LLM-based Reinforcement Learning audio edit model
Step-Audio-EditX is an open-source, 3 billion-parameter audio model from StepFun AI designed to make expressive and precise editing of speech and audio as easy as text editing. Rather than treating audio editing as low-level waveform manipulation, this model converts speech into a sequence of discrete “audio tokens” (via a dual-codebook tokenizer) — combining a linguistic token stream and a semantic (prosody/emotion/style) token stream — thereby abstracting audio editing into high-level token operations. ... -
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Step-Audio 2
Multi-modal large language model designed for audio understanding
Step-Audio2 is an advanced, end-to-end multimodal large language model designed for high-fidelity audio understanding and natural speech conversation: unlike many pipelines that separate speech recognition, processing, and synthesis, Step-Audio2 processes raw audio, reasons about semantic and paralinguistic content (like emotion, speaker characteristics, non-verbal cues), and can generate contextually appropriate responses — including potentially generating or transforming audio output. ... -
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Step-Video-T2V
State-of-the-art (SoTA) text-to-video pre-trained model
...Its training and generation pipeline includes techniques like flow-matching, full 3D attention for temporal consistency, and fine-tuning approaches (e.g. video-based DPO) to improve fidelity and reduce artifacts. As a result, Step-Video-T2V aims to push the frontier of open-source video generation. -
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TTS WebUI
A single Gradio + React WebUI with extensions for ACE-Step
TTS-WebUI is a unified Gradio + React web interface that brings together a large ecosystem of text-to-speech, voice conversion, and audio generation models under a single UI. It supports a wide range of models such as Bark, MusicGen, Tortoise, RVC, StyleTTS2, ParlerTTS, CosyVoice, XTTSv2, Stable Audio, SeamlessM4T, and many others, exposing them as interchangeable backends for speech and music synthesis. The project provides an installer that sets up Conda, Python environments, and all... -
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Step CI
Automated API Testing and Quality Assurance
Step CI is an open-source API Quality Assurance framework. Language-agnostic. Configure easily using YAML, JSON or JavaScript. REST, GraphQL, gRPC, tRPC, SOAP. Test different API types in one workflow. Self-hosted. Test services on your network, locally or with CI/CD. Integrated. Play nicely with others. -
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The Book of Shaders
Step-by-step guide through the complex universe of fragment Shaders
The Book of Shaders is an open educational guide that introduces fragment shaders through gradual, visually oriented lessons. It begins with shader fundamentals, uniforms, and the process of running GLSL code. Later chapters explain shaping functions, colors, geometric forms, matrices, patterns, randomness, noise, and fractal techniques. The material then expands into image processing, simulations, lighting, normal maps, ray marching, environmental mapping, reflection, and refraction.... -
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StepperView
SwiftUI iOS component for Step Indications
SwiftUI iOS component for Step Indications. Support for Vertical and Horizontal Alignments. iOS and WatchOS capabilities. Support for Circle, Image, Custom View, Animated Step Indicators. Customizable line,spacing & animation options. Pitstop feature to add intermediate stages between Step Indicators. Support for updating the life cycle status for each of the steps. -
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Dev Browser
A Claude Skill to give your agent the ability to use a web browser
...A key idea is persistence: the browser can keep pages open so the agent can navigate once and then perform multiple interactions across scripts without losing state each time. It supports flexible execution modes, allowing full-script runs when tasks are straightforward and step-by-step exploration when the agent needs to inspect or iterate carefully. To make automation more reliable for language models, it provides LLM-friendly DOM snapshots that structure the page in a way that is easier for an agent to interpret than raw HTML dumps. -
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HowToCook
Programmer's guide about how to cook at home
HowToCook is a Chinese-language repository of cooking recipes and tutorials, formatted in Markdown for easy reading and version control. It covers traditional Chinese, Western, and fusion dishes, with step-by-step instructions, ingredient lists, and images where applicable. Ideal for home cooks and learners, it offers a neat, text-based kitchen manual that can be browsed online or printed for reference. -
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TREK
A self-hosted travel/trip planner with real-time collaboration
TREK is a system designed to explore task execution, reasoning, or knowledge traversal in structured environments, likely focusing on guiding agents through complex multi-step processes. The project appears to emphasize traceability, allowing users to follow how decisions are made and how tasks progress through different stages. Its architecture suggests a focus on modular reasoning, where each step in a process is clearly defined and can be analyzed independently. This makes it particularly useful for debugging, experimentation, and understanding agent behavior in complex workflows. ... -
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AI Agents for Beginners
12 Lessons to Get Started Building AI Agents
AI Agents for Beginners is a comprehensive educational repository created to introduce developers to the concepts and practical implementation of AI agents. It provides step-by-step lessons that guide users through building autonomous systems capable of reasoning, planning, and interacting with tools. The curriculum combines theory with hands-on exercises, allowing learners to experiment with real agent architectures and workflows. It covers key topics such as prompt design, tool integration, memory management, and multi-agent coordination. ... -
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Intro.js
Lightweight library for creating step-by-step customer onboarding
Intro.js is a lightweight library for creating step-by-step customer onboarding. You can install Intro.js in a few simple steps. Intro.js consists of two main files, the JavaScript part and the CSS part which renders the elements nicely. The simplicity of Intro.js API will help you to develop an advanced onboarding for your products. Intro.js is lightweight, 10kB and has no external dependencies! -
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LLMs-from-scratch
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
LLMs-from-scratch is an educational codebase that walks through implementing modern large-language-model components step by step. It emphasizes building blocks—tokenization, embeddings, attention, feed-forward layers, normalization, and training loops—so learners understand not just how to use a model but how it works internally. The repository favors clear Python and NumPy or PyTorch implementations that can be run and modified without heavyweight frameworks obscuring the logic. ... -
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YubiKey Guide
Community guide to using YubiKey for GnuPG and SSH
...It explains how to generate, manage, and use keys, configure pin / touch policies, and integrate the YubiKey into secure workflows. Configuration instructions for requiring touch for operations. Step-by-step instructions for generating GPG keys and migrating them to a YubiKey. Troubleshooting and advice for different OS environments. Example commands and script snippets for automation. -
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Qwen3.5
Qwen3.5 is the large language model series developed by Qwen team
Qwen3.5 is part of Alibaba’s Qwen family of large language and multimodal foundation models, designed to power advanced AI applications such as chatbots, coding assistants, and autonomous agents. The project represents a significant step toward “agentic AI,” meaning models that can reason through multi-step tasks and interact with external tools or environments rather than only generating text. Qwen3.5 builds on earlier Qwen generations by improving multilingual understanding, reasoning ability, and efficiency, while also introducing native multimodal capabilities that allow the model to work with both language and visual inputs. ... -
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How To Secure A Linux Server
An evolving how-to guide for securing a Linux server
How To Secure A Linux Server is a practical, evolving guide for hardening Linux servers in personal, hobby, and small-scale production environments. It focuses on step-by-step security improvements rather than abstract theory, making it accessible to administrators who need clear actions. The guide covers server setup, operating system choices, SSH hardening, firewall rules, user accounts, automatic updates, logging, intrusion prevention, and common web server considerations. It also includes dedicated material for kernel sysctl hardening and Nginx security. ... -
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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 code. ...