Showing 54 open source projects for "composition"

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  • 1
    3FS

    3FS

    A high-performance distributed file system

    The 3FS repository (standing likely for “Feature 3F System” or similar) is focused on providing a feature extraction and transformation framework tailored to deep and large models, especially in token-based systems. Its primary aim is to support efficient and scalable feature transformation pipelines—especially for inference environments—by batching, caching, and integrating feature-based modules like segmenters, sparse retrievers, and scorers seamlessly. The repo includes APIs to define...
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  • 2
    TEN

    TEN

    Open-source framework for conversational voice AI agents

    TEN (Transformative Extensions Network) is an open source framework designed to empower developers to build real-time multimodal AI agents capable of voice, video, text, image, and data-stream interaction with ultra-low latency. It includes a full ecosystem, TEN Turn Detection, TEN Agent, and TMAN Designer, allowing developers to rapidly assemble human-like, responsive agents that can see, speak, hear, and interact. With support for languages like Python, C++, and Go, it offers flexible...
    Downloads: 1 This Week
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  • 3
    InfiAgent

    InfiAgent

    Build your own Cowork, AI Scientist and other SoTA Agents

    infiAgent is an open-source AI agent framework for building powerful, long-running autonomous agents capable of tackling complex tasks without collapsing under growing context or tool invocation histories. Designed as a “Multi-Level Agent” (MLA) system, it externalizes persistent state to the file system so that agents can operate over unlimited runtime without the need for token-intensive context compression, enabling workflows such as research paper drafting, experiments, coding, and...
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  • 4
    DreamO

    DreamO

    A Unified Framework for Image Customization

    ...It also uses a “placeholder strategy” to precisely align conditional inputs (e.g. where to place clothing or objects) in generated images, giving users fine-grained control over composition.
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  • 5
    MuseGAN

    MuseGAN

    An AI for Music Generation

    MuseGAN is a deep learning research project designed to generate symbolic music using generative adversarial networks. The system focuses specifically on generating multi-track polyphonic music, meaning that it can simultaneously produce multiple instrument parts such as drums, bass, piano, guitar, and strings. Instead of generating raw audio, the model operates on piano-roll representations of music, which encode notes as time-pitch matrices for each instrument track. This representation...
    Downloads: 2 This Week
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  • 6
    Evals

    Evals

    Evals is a framework for evaluating LLMs and LLM systems

    ...It’s designed to let you define “evals” (evaluation tasks) in a structured way and run them against different models or agents, with the ability to score, compare, and analyze results. The framework supports templated YAML eval definitions, solver-based evaluations, custom metrics, and composition of multi-step evaluations. It includes utilities and APIs to plug in completion functions, manage prompts, wrap retries or error handling, and register new evaluation types. It also maintains a growing registry of standard benchmarks or “evals” that users can reuse (for example, tasks measuring reasoning, factual accuracy, or chain-of-thought capabilities). ...
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  • 7
    htmid

    htmid

    Generative Music For Beginners and Everyone Else

    Generative music is a fascinating and innovative approach to music creation that involves creating procedurally generated music that evolves and changes over time. Whether you're a beginner or a seasoned musician, this guide will introduce you to the world of generative music and show you how to create your own live music performances. Generative music is music that is ever-changing and created in real-time. It can be created by anyone, with or without musical experience. Learn how to...
    Downloads: 2 This Week
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  • 8
    HasMCP

    HasMCP

    Convert API into MCP Server in seconds

    ...The platform is built for dynamic environments; Real-time Dynamic Tooling allows the system to adapt on the fly as APIs change or go offline. For robust security, it includes Secure Secret & Gateway Management to safeguard sensitive credentials in an encrypted vault. MCP Composition enables the construction of high-performance, modular AI systems. Finally, comprehensive Observability & Telemetry tools offer deep insights into tool usages.
    Downloads: 0 This Week
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  • 9
    Style Aligned

    Style Aligned

    Official code for Style Aligned Image Generation via Shared Attention

    ...Instead of fully re-generating an image—and risking changes to lighting, texture, or rendering choices—the method aligns internal features across denoising steps so the target edit inherits the source style. This alignment acts like a constraint on the model’s evolution, steering composition, palette, and brushwork even as objects or attributes change. The result is more consistent edits across a set, which is crucial for workflows like product variations, character sheets, or brand-coherent art. The repository provides reproducible scripts, reference prompts, and guidance for tuning strengths so users can dial in subtle retouches or bolder substitutions. ...
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  • 10
    Prompt-to-Prompt

    Prompt-to-Prompt

    Latent Diffusion and Stable Diffusion Implementation

    ...The method supports gentle edits (e.g., style, color, lighting) as well as stronger semantic substitutions, and it can localize edits to specific words or regions by selectively updating attention. Because edits are steerable via prompt wording and token weighting, creators can iterate quickly, exploring variations without losing composition. The repository includes reference notebooks and scripts that plug into popular latent diffusion backbones, making it practical to try the technique on your own prompts and seeds. It’s especially useful for workflows that need consistent framing, product shots, illustrations, and concept art, etc.
    Downloads: 0 This Week
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  • 11
    Lightning-Hydra-Template

    Lightning-Hydra-Template

    PyTorch Lightning + Hydra. A very user-friendly template

    ...Think of it as a framework for organizing your PyTorch code. Hydra, a framework for elegantly configuring complex applications. The key feature is the ability to dynamically create a hierarchical configuration by composition and override it through config files and the command line.
    Downloads: 0 This Week
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  • 12

    DuranDuranbot

    Teachable/trainable artificially intelligent music bot

    ...This program utilizes many algorithmic/AI techniques/processes, including machine learning; which allow you to teach/train it to compose music which you prefer... and the technique which is the foundation of the design of DuranDuranbot, which was directly inspired by how Duran Duran writes music........ Called, "bit by bit circular composition"....... and it's explanation can be found here - https://scsynth.org/t/bit-by-bit-circular-composition/1107 This program is written in the SuperCollider programming language - https://en.wikipedia.org/wiki/SuperCollider Contact - ken_brant@ymail.com
    Downloads: 0 This Week
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  • 13
    Piano transcription

    Piano transcription

    Task of transcribing piano recordings into MIDI files

    Piano transcription is an open-source high-resolution piano transcription system by ByteDance that converts raw audio recordings of piano performance into symbolic MIDI files — detecting note onsets, offsets, pitch, velocity, and even pedal usage. The system is implemented in Python (PyTorch) and is capable of accurate transcription of polyphonic piano recordings, even with complex passages and pedal techniques, making it suitable for classical piano music. By using this transcription tool,...
    Downloads: 3 This Week
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  • 14
    GiantMIDI-Piano

    GiantMIDI-Piano

    Classical piano MIDI dataset

    ...It provides a resource for music information retrieval (MIR), symbolic music modeling, composer classification, music generation, analysis of classical piano repertoire, and data-driven research in musicology or AI-based composition. Because the dataset is machine-generated via an automated transcription pipeline, it offers consistency, scale, and accessibility that would be difficult to achieve manually — enabling researchers to work with large corpora of piano music without copyright restrictions on symbolic data.
    Downloads: 0 This Week
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  • 15
    Microsoft Bot Framework SDK

    Microsoft Bot Framework SDK

    Tool for building conversation applications

    ...Developers can model and build sophisticated conversation using their favorite programming languages including C#, JS, Python and Java or using Bot Framework Composer, an open-source, visual authoring canvas for developers and multi-disciplinary teams to design and build conversational experiences with Language Understanding, QnA Maker and sophisticated composition of bot replies (Language Generation). Checkout the Bot Framework ecosystem section to learn more about other tooling and services related to the Bot Framework SDK. The Bot Framework SDK v4 is an open source SDK that enable developers to model and build sophisticated conversation using their favorite programming language.
    Downloads: 0 This Week
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  • 16
    Image Quality Assessment

    Image Quality Assessment

    Convolutional Neural Networks to predict aesthetic quality of images

    ...The repository provides an implementation inspired by the NIMA (Neural Image Assessment) research approach, which uses convolutional neural networks trained on human-annotated datasets to estimate image quality scores. The goal of the project is to automatically evaluate images based on perceived quality factors such as composition, clarity, and visual appeal. Instead of relying on simple image statistics, the system learns patterns that correlate with human judgments about image aesthetics and technical quality. The repository includes code for training models, performing inference, and evaluating predicted scores against labeled datasets. It also provides utilities for image preprocessing and data management that help prepare datasets for training deep learning models.
    Downloads: 0 This Week
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  • 17
    SG2Im

    SG2Im

    Code for "Image Generation from Scene Graphs", Johnson et al, CVPR 201

    ...The pipeline typically predicts object layouts (bounding boxes and masks) from the graph, then renders a realistic image conditioned on those layouts. This separation lets the model reason about geometry and composition before committing to texture and color, improving spatial fidelity. The repository includes training code, datasets, and evaluation scripts so researchers can reproduce baselines and extend components such as the graph encoder or image generator. In practice, sg2im demonstrates how structured semantics can guide generative models to produce controllable, compositional imagery.
    Downloads: 0 This Week
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  • 18

    Service Grid - Language Grid Base System

    SOA infrastracture initially developed by NICT Language Grid Project

    Service Grid is an infrastructure for accumulating and sharing Web services. Resources with complicated intellectual property issues are wrapped as Web services and shared on the Service Grid. If you release your software by using the software of this project, please include the following description in the documents or on the website. * This software uses the [SOFTWARE] by the Language Grid project (http://langrid.org/). [SOFTWARE] is one of: * Service Grid Server Software...
    Downloads: 1 This Week
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  • 19
    This project has started the design of a module language that allows composition of ontologies in a more elaborate way than the mere import of ontologies.This project is a French-Brazilian collaboration supported by Informatics Center-UFPE and INRIA.
    Downloads: 0 This Week
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  • 20
    J-Syncker
    This application assists in generating pre-compositional material based on a computational interpretation of the 'Schillinger System of Musical Composition' (Schillinger 1946).
    Downloads: 0 This Week
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  • 21

    PartWriter

    A project designed to write sheet music.

    The project is composed of two layers. The first layer is an artificial intelligence engine, partwriter, that writes music based on some heuristic. The second layer is the layer that defines the heuristic. The definition of this heuristic defines the type of music that partwriter will create. Currently (December 2012), the deepest layer is more or less complete. The author is now writing second layers of interest, namely species counterpoint heuristics according to Fux's Gradus Ad Parnassum.
    Downloads: 0 This Week
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  • 22
    S-Match

    S-Match

    S-Match is a semantic matching framework.

    ...S-Match applies as a solution in many fields, including: information integration, ontology evolution and alignment, peer-to-peer information sharing, digital libraries integration, web service composition, agent communication, and query answering on the web. S-Match is extendable to host new algorithms.
    Downloads: 0 This Week
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  • 23
    DJDarwin

    DJDarwin

    A Genetic algorithm approach to creating beats.

    The program puts beats through evolution - survival, mutations, reproduction. The purpose, in the words of Africa Bambaataa - Looking for the perfect beat. Using a genetic­ algorithmic framework, the user's taste defines a Beat fitness function - she decides which beats survive and breed, and which join the choir invisible. In addition, the user can easily define an automatic fitness function, put the program on 'auto­pilot' mode, and let it speed up evolution. Different types of...
    Downloads: 0 This Week
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  • 24

    Dinapter:

    Generate adaptation contracts between incompatible services

    ...Automatic Generation of Adaptation Contracts, FOCLASA'08, ENTCS, 2008 - http://goo.gl/21iJZ * J.A. martín, E. Pimentel. Dinapter: Automatic Adapter Specification for Software Composition, PROLE'08, ENTCS, 2008 - http://goo.gl/VrQvG ...and later integrated and improved within the ITACA toolbox (http://itaca.gisum.uma.es/): * J. Camara, J.A. Martín, G. Salaun, J. Cubo, M. Ouederni, C. Canal, E. Pimentel. ITACA: An integrated toolbox for the automatic composition and adaptation of Web services, ICSE'09, 2009 - http://goo.gl/oFGe8
    Downloads: 0 This Week
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  • 25
    Wikipedia Concept Association Map (WCAM) is new approach for textual knowledge representation and understanding. All concepts and associations are stored in a graph database for better performance and easy distribution.
    Downloads: 0 This Week
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