Showing 6567 open source projects for "processing"

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  • 1
    miniaudio

    miniaudio

    Audio playback and capture library written in C,

    miniaudio is written in C with no dependencies except the standard library and should compile cleanly on all major compilers without the need to install any additional development packages. All major desktop and mobile platforms are supported. miniaudio gives you complete flexibility. With the low-level API, just initialize a connection to the device and send or receive raw audio data. The modular design of miniaudio allows you to use the low-level API without compromising your ability to...
    Downloads: 1 This Week
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  • 2
    AnalysisAVP

    AnalysisAVP

    Encode decode, rgb yuv h264 aac flv mp4 rtmp

    AnalysisAVP is a comprehensive educational repository focused on audio and video technology concepts, providing structured knowledge across multimedia systems and processing pipelines. It covers foundational topics such as encoding, decoding, color formats like RGB and YUV, and widely used codecs including H.264 and AAC. The project also explores media container formats like MP4 and FLV, along with streaming protocols such as RTMP and WebRTC, offering a broad understanding of media transmission. It includes practical examples and experimental code that demonstrate real-world implementations such as camera capture, rendering, and encoding workflows. ...
    Downloads: 0 This Week
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  • 3
    clip-js

    clip-js

    online video editor built with nextjs, remotion and ffmpeg

    ...It enables users to create and edit video compositions using a timeline interface, combining video, audio, images, and text layers into a single project. The system uses a WebAssembly port of FFmpeg to perform high-quality rendering, allowing export of videos without relying on server-side processing. It includes interactive controls for trimming, splitting, and arranging media elements with precise timing. The editor supports dynamic adjustments such as opacity, positioning, and layering to fine-tune compositions. It also incorporates keyboard shortcuts and responsive UI elements to improve workflow efficiency. Overall, it demonstrates how full-featured video editing can be achieved entirely within a web application.
    Downloads: 0 This Week
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  • 4
    Music-bot

    Music-bot

    A complete code to download for a cool Discord music bot

    ...It supports playing music from various online sources, including streaming platforms and direct URLs. The bot includes queue management features that allow users to add, remove, and reorder tracks during playback. It integrates audio processing tools to ensure smooth streaming and consistent playback quality. Music-bot also supports commands for controlling playback, such as pause, resume, skip, and volume adjustment. Its architecture is designed for easy deployment and customization, allowing developers to extend functionality or integrate additional services. Overall, it serves as a practical solution for adding music playback capabilities to Discord servers.
    Downloads: 0 This Week
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    LaReview

    LaReview

    The code review workbench

    ...Instead of overwhelming developers with raw diffs or automated comment spam, the tool analyzes code changes and generates an intent-driven review plan that groups changes into logical flows such as authentication, API behavior, or data handling, and prioritizes them based on risk. It operates as a desktop application with CLI integration, allowing users to launch reviews directly from their terminal while keeping all processing local to ensure security and prevent data leakage. The system presents reviews as hierarchical task trees, enabling developers to work through changes step by step, attach notes, and track progress across different review concerns.
    Downloads: 0 This Week
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  • 6
    My Python Eggs

    My Python Eggs

    Python Examples

    My Python Eggs, commonly associated with the geekcomputers Python repository, is a large collection of practical Python scripts and small programs created primarily for experimentation, automation, and educational purposes. Rather than being a single cohesive application, it functions as a repository of utilities that demonstrate how Python can be used to solve everyday problems and automate repetitive tasks. The scripts cover a wide range of topics, including file management, networking,...
    Downloads: 0 This Week
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  • 7
    Bloom

    Bloom

    An open source, agentic Loom alternative

    Bloom is an open-source, agent-centric video recording and processing platform designed as a modern alternative to tools like Loom, but with a strong emphasis on AI-driven workflows and programmability. It allows users to record sessions locally while simultaneously preparing those recordings to be processed, indexed, and analyzed by AI systems, effectively turning simple screen captures into structured, queryable data.
    Downloads: 0 This Week
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  • 8
    Companion notebooks for Deep Learning

    Companion notebooks for Deep Learning

    Jupyter notebooks for the code samples of the book

    Companion notebooks for Deep Learning is a collection of Jupyter notebooks that accompany François Chollet’s deep learning curriculum, providing hands-on implementations of key concepts using practical examples. The project covers a wide range of topics, including neural networks, computer vision, natural language processing, and sequence modeling. Each notebook is structured to combine theoretical explanations with executable code, allowing users to experiment and learn interactively. The material is designed to be accessible while still covering advanced topics, making it suitable for both beginners and intermediate practitioners. It leverages modern libraries and frameworks to demonstrate real-world applications of deep learning techniques. ...
    Downloads: 0 This Week
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  • 9
    OSRS .json Hiscores

    OSRS .json Hiscores

    The Oldschool Runescape API wrapper that does more

    OSRS .json Hiscores is a server-side API wrapper designed to transform Old School RuneScape hiscores data into structured and developer-friendly JSON objects, addressing limitations in the official API’s output formats. The official API typically returns CSV or basic arrays, which can be difficult to work with, so this project restructures the data into meaningful objects that include player stats, rankings, and inferred metadata. It also adds additional logic to determine player game modes,...
    Downloads: 0 This Week
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  • 10
    RAG Web UI

    RAG Web UI

    RAG Web UI is an intelligent dialogue system based on RAG

    ...It combines document retrieval with large language models to provide accurate, context-aware responses based on indexed data rather than generic model knowledge. The platform supports ingestion of multiple document formats, including PDFs, Word files, Markdown, and plain text, automatically processing and vectorizing them for efficient retrieval. It features a multi-turn conversational interface that maintains context across interactions, allowing users to engage in more natural and continuous dialogues with their data. The system is designed with a scalable architecture that separates frontend and backend components, enabling distributed deployment and efficient handling of large datasets. ...
    Downloads: 0 This Week
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  • 11
    Aimeos headless distribution

    Aimeos headless distribution

    Aimeos cloud-native, API-first ecommerce headless distribution

    ...Because the platform follows a headless architecture, it separates the commerce logic from the presentation layer, enabling developers to build web, mobile, or progressive web applications while relying on Aimeos for backend functionality. The framework includes a full set of commerce features such as product catalog management, order processing, and customer management while remaining highly customizable. It is designed to scale from small online shops to very large marketplaces and enterprise-level commerce platforms handling massive product catalogs.
    Downloads: 0 This Week
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  • 12
    The Machine & Deep Learning Compendium

    The Machine & Deep Learning Compendium

    List of references in my private & single document

    ...Originally created as a personal knowledge base, the repository evolved into a public educational resource designed to help learners explore the rapidly expanding machine learning ecosystem. The compendium includes explanations of concepts across multiple domains such as natural language processing, computer vision, time-series analysis, anomaly detection, and graph learning. In addition to technical algorithms, the project also covers practical topics related to data science workflows, engineering practices, and product development in AI systems.
    Downloads: 0 This Week
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  • 13
    AI Deadlines

    AI Deadlines

    AI conference deadline countdowns

    ...The repository powers a website that displays countdown timers and structured information for top research conferences across subfields such as computer vision, natural language processing, machine learning, and robotics. The project maintains a curated dataset of conferences that includes metadata such as submission deadlines, abstract deadlines, event dates, conference locations, and related information. Researchers and students use the platform to plan their paper submissions and manage academic schedules without manually tracking multiple conference announcements. ...
    Downloads: 0 This Week
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  • 14
    GPU Puzzles

    GPU Puzzles

    Solve puzzles. Learn CUDA

    ...The exercises are implemented using Python with the Numba CUDA interface, which allows Python code to compile into GPU kernels that run on CUDA-enabled hardware. By solving progressively more complex puzzles, learners gain a practical understanding of how parallel algorithms operate on graphics processing units. The project emphasizes experimentation and problem solving, encouraging learners to discover GPU programming techniques through trial and exploration. It can be run in cloud environments such as Google Colab, making it easy for beginners to start experimenting without configuring local GPU hardware.
    Downloads: 0 This Week
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  • 15
    DATAGEN

    DATAGEN

    AI-driven multi-agent research assistant automating hypothesis

    ...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. The platform is designed for researchers, analysts, and developers who want to accelerate data exploration and automate parts of the research lifecycle.
    Downloads: 0 This Week
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  • 16
    repo2txt

    repo2txt

    Web-based tool converts GitHub repository contents

    repo2txt is an open-source developer tool that converts the contents of a code repository into a single structured text file that can be easily consumed by large language models. The tool is designed to address the challenge of analyzing entire codebases with AI assistants, where code is normally distributed across many files and directories. By collecting repository contents and formatting them into a single text document, repo2txt allows developers to feed complete projects into AI systems...
    Downloads: 0 This Week
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  • 17
    Happy-LLM

    Happy-LLM

    Large Language Model Principles and Practice Tutorial from Scratch

    Happy-LLM is an open-source educational project created by the Datawhale AI community that provides a structured and comprehensive tutorial for understanding and building large language models from scratch. The project guides learners through the entire conceptual and practical pipeline of modern LLM development, starting with foundational natural language processing concepts and gradually progressing to advanced architectures and training techniques. It explains the Transformer architecture, pre-training paradigms, and model scaling strategies while also providing hands-on coding examples so readers can implement and experiment with their own models. The tutorial emphasizes practical understanding by walking users through building and training small language models, including tokenizer construction, pre-training workflows, and fine-tuning methods.
    Downloads: 0 This Week
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  • 18
    Deep Learning Essay Reading

    Deep Learning Essay Reading

    Read classic and new deep learning papers paragraph by paragraph

    ...Instead of reading entire dense academic papers, contributors provide structured breakdowns and insights into the most influential research from the past decade, often including explanation highlights and key takeaways. The content spans foundational models, architectures, and training methodologies across computer vision, natural language processing, generative models, and other machine learning domains. These summaries help students, researchers, and engineers stay up to date with breakthroughs in the field without needing to sift through full academic documents. With thousands of stars and forks, this repository has become a widely referenced learning resource for anyone interested in understanding the technical ideas behind major advancements.
    Downloads: 0 This Week
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  • 19
    video2robot

    video2robot

    End-to-end pipeline converting generative videos

    video2robot is an end-to-end open-source pipeline that converts generative video or prompt-driven motion content into executable humanoid robot motion sequences, enabling researchers and developers to go from high-level action descriptions or videos to robot-ready motion data. The pipeline supports both prompt-to-video generation using models like Veo/Sora and video upload processing, followed by human pose extraction through a 3D pose model and retargeting of that motion to robot joints using a general motion retargeting system. 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). ...
    Downloads: 0 This Week
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  • 20
    LiveAvatar

    LiveAvatar

    Streaming Real-time Audio-Driven Avatar Generation

    ...It implements techniques from state-of-the-art diffusion-based avatar modeling to support infinite-length continuous video generation with low latency, enabling interactive AI avatars that maintain continuity and realism over extended sessions. The project co-designs algorithms and system optimizations, such as block-wise autoregressive processing and fast sampling strategies, to deliver real-time frame rates (e.g., ~45 FPS on appropriate GPU clusters) while handling non-stop generation without quality degradation. LiveAvatar focuses on delivering not just high-quality visuals but also the responsiveness necessary for immersive conversational experiences, making it suitable for advanced AI agents, virtual assistants, and interactive streaming contexts.
    Downloads: 0 This Week
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  • 21
    SimpleMem

    SimpleMem

    SimpleMem: Efficient Lifelong Memory for LLM Agents

    ...It provides easy-to-use APIs for storing structured memory entries, querying those memories using semantic search, and retrieving context to augment prompt inputs for downstream processing. Unlike monolithic systems where memory management is ad-hoc, SimpleMem formalizes a memory lifecycle—write, index, retrieve, refine—so applications can handle user history, document collections, or dynamic contextual state systematically. It supports customizable embedding models, efficient vector indexes, and relevance weighting, making it practical for building assistants, personal agents, or domain-specific retrieval systems that need persistent knowledge.
    Downloads: 0 This Week
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  • 22
    Aimeos core

    Aimeos core

    Aimeos PHP ecommerce framework for ultra fast online shops

    Aimeos-Core is the core library and framework for the Aimeos ecommerce ecosystem, providing the essential building blocks for flexible, scalable online shops, marketplaces, and enterprise commerce applications. Unlike a monolithic shop application, Aimeos-Core is designed as a modular framework that you can embed into your own web app, enabling you to define custom front-ends and workflows while relying on its robust commerce services for catalog, cart, checkout, orders, and customer...
    Downloads: 0 This Week
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  • 23
    TensorRT Node for ComfyUI

    TensorRT Node for ComfyUI

    Enables the best performance on NVIDIA RTX Graphics Cards

    ...It bridges the gap between ComfyUI’s flexible, node-based workflows and TensorRT’s highly optimized engine format. The result is that complex diffusion or image-processing graphs can be accelerated without the user having to rewrite the pipeline. The repo typically includes instructions for converting models to TensorRT engines and for wiring those engines into ComfyUI nodes. This is particularly attractive for power users who run many generations or who host ComfyUI on dedicated hardware and want to squeeze out every bit of GPU performance. ...
    Downloads: 0 This Week
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  • 24
    Swift Numerics

    Swift Numerics

    Advanced mathematical types and functions for Swift

    ...The modules are factored to keep dependencies minimal and to allow adopters to pull in only what they need. As a result, Swift Numerics underpins higher-level libraries in simulation, signal processing, and machine learning written in pure Swift.
    Downloads: 0 This Week
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  • 25
    SlowFast

    SlowFast

    Video understanding codebase from FAIR for reproducing video models

    SlowFast is a video understanding framework that captures both spatial semantics and temporal dynamics efficiently by processing video frames at two different temporal resolutions. The slow pathway encodes semantic context by sampling frames sparsely, while the fast pathway captures motion and fine temporal cues by operating on densely sampled frames with fewer channels. Together, these two pathways complement each other, allowing the network to model both appearance and motion without excessive computational cost. ...
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