Search Results for "ace-step"
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Showing 1291 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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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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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. -
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React-Ace
React Ace Component
A set of react components for Ace. -
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5
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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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 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-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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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. ... -
11
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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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. -
13
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... -
14
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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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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dx ACE
dinput & xinput wrapper that modulates the input of game devices
dx (A)xis (C)ontrol (E)dition is a directinput and xinput API wrapper utility that modulates the input of game controller devices with the objective of getting better control. -
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Open Source with Pradumna
Resources and materials to get yourself started with open source
...The repo content is divided into several Pages for better structuring, easy navigation and making learning easier. Contains 15 days of Twitter threads and blogs that I posted during the Bootcamp. Contains step by step guide (Written + Screenshots + Video) on how to create an Issue, cloning/forking a repo, creating a Pull Request etc. -
18
LeetCode Master
About "Code Thoughts" LeetCode Practice Guide: 200 classic questions
leetcode-master is a comprehensive collection of LeetCode solutions written in C++ and organized as a structured learning path for coding interview preparation. The repository contains detailed explanations, categorized problem sets, and step-by-step reasoning behind solutions, making it an effective study companion for developers preparing for technical interviews. Problems are grouped by topic—such as arrays, linked lists, dynamic programming, greedy algorithms, and graph theory—so learners can focus on specific areas systematically. Each solution is accompanied by clear commentary to explain the thought process, algorithm design, and complexity analysis. ... -
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verl-agent
Designed for training LLM/VLM agents via RL
...Developers can configure memory modules that determine how historical information is stored and incorporated into each step of the reasoning process. -
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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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rCore-Tutorial-Book-v3
A book about how to write OS kernels in Rust easily
rCore-Tutorial-Book-v3 is the official book for the third version of the rCore OS tutorial series, a comprehensive educational resource for learning operating system development using the Rust programming language. Targeted at the RISC-V architecture, this tutorial guides learners step-by-step through building a minimal, safe, and modern OS kernel from scratch. It is written in Markdown and powered by mdBook, making it easy to read, navigate, and contribute to. The book combines theoretical explanations with practical exercises, allowing students and enthusiasts to understand core OS concepts like bootstrapping, memory management, and process scheduling through hands-on implementation. -
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Watlings
Learn WebAssembly by writing small programs
Watlings is an educational platform designed to teach WebAssembly concepts through interactive, browser-based exercises that guide users step by step in learning the WebAssembly text format (WAT). Inspired by projects like Rustlings, it provides a collection of small, focused challenges that help users understand how WebAssembly works at a low level, including instructions, memory management, and control flow. Each exercise presents partially completed code that the user must fix or complete, reinforcing learning through hands-on problem solving rather than passive reading. ... -
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Claude Code Architecture Study
Research on Coding Agents
...The project focuses on breaking down the architecture of agentic systems, including how models perceive context, make decisions, and execute actions in a coding environment. It likely provides step-by-step examples, conceptual explanations, and practical implementations that guide users through creating their own agents. The framework emphasizes learning by doing, allowing users to experiment with agent behavior, prompt design, and workflow structuring. It also explores how agents interact with tools such as file systems, terminals, and APIs, giving a holistic view of real-world applications. ... -
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jQuery Smart Wizard v6
The awesome jQuery step wizard plugin
The awesome step wizard plugin for jQuery. jQuery Smart Wizard is an accessible step wizard plugin for jQuery. Provides a neat, usable, and stylish user interface for your forms, checkout screen, registration process, etc. Easy to implement, Bootstrap compatibility, customizable toolbars, themes and colors, events, and Ajax support are a few of the features. -
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Generative AI for Beginners .NET
Hands-on .NET course for building real-world generative AI apps
...It walks through core concepts such as text generation, chat-based interactions, and integrating large language models into applications. Each lesson includes short videos, working code samples, and step-by-step instructions, making it easy to follow and apply immediately. Generative AI for Beginners .NET supports tools like GitHub Models, Azure OpenAI Service, and local models, giving flexibility in how projects are built and tested. Developers can run examples locally or in cloud-based environments such as GitHub Codespaces. It focuses on practical implementation rather than theory, helping users move from simple experiments to complete AI-powered solutions while understanding responsible AI usage and modern development workflows.
