Showing 327 open source projects for "data structures c"

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  • 1
    Humanizer Skill

    Humanizer Skill

    Claude Code skill that removes signs of AI-generated writing from text

    ...Beyond text formatting, the library can handle pluralization, enumeration formatting (“A, B, and C”), and token expansion so that program-generated content feels more conversational.
    Downloads: 111 This Week
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  • 2
    CUTLASS

    CUTLASS

    CUDA Templates for Linear Algebra Subroutines

    CUTLASS is a collection of CUDA C++ template abstractions for implementing high-performance matrix-multiplication (GEMM) and related computations at all levels and scales within CUDA. It incorporates strategies for hierarchical decomposition and data movement similar to those used to implement cuBLAS and cuDNN. CUTLASS decomposes these "moving parts" into reusable, modular software components abstracted by C++ template classes.
    Downloads: 3 This Week
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  • 3
    BrowserOS

    BrowserOS

    Agentic browser; privacy-first alternative to ChatGPT Atlas

    BrowserOS is an open-source, agentic web browser built on a Chromium base that integrates AI agents directly into the browsing experience. Rather than just doing standard browsing, it places AI intelligence at the core: you can connect your own API keys (for e.g., OpenAI, Anthropic, Google Gemini) or run local models (via e.g., Ollama) so that your browsing data and automation stay on your machine — privacy and control are emphasized throughout. The interface remains familiar to users of...
    Downloads: 26 This Week
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  • 4
    WanGP

    WanGP

    AI video generator optimized for low VRAM and older GPUs use

    Wan2GP is an open source AI video generation toolkit designed to make modern generative models accessible on consumer-grade hardware with limited GPU memory. It acts as a unified interface for running multiple video, image, and audio generation models, including Wan-based models as well as other systems like Hunyuan Video, Flux, and Qwen. A key focus of the project is reducing VRAM requirements, enabling some workflows to run on as little as 6 GB while still supporting older Nvidia and...
    Downloads: 44 This Week
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  • 5
    The Operator Splitting QP Solver

    The Operator Splitting QP Solver

    The Operator Splitting QP Solver

    OSQP uses a specialized ADMM-based first-order method with custom sparse linear algebra routines that exploit structure in problem data. The algorithm is absolutely division-free after the setup and it requires no assumptions on problem data (the problem only needs to be convex). It just works. OSQP has an easy interface to generate customized embeddable C code with no memory manager required. OSQP supports many interfaces including C/C++, Fortran, Matlab, Python, R, Julia, Rust.
    Downloads: 0 This Week
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  • 6
    DeepDetect

    DeepDetect

    Deep Learning API and Server in C++14 support for Caffe, PyTorch

    ...While the Open Source Deep Learning Server is the core element, with REST API, and multi-platform support that allows training & inference everywhere, the Deep Learning Platform allows higher level management for training neural network models and using them as if they were simple code snippets. Ready for applications of image tagging, object detection, segmentation, OCR, Audio, Video, Text classification, CSV for tabular data and time series. Neural network templates for the most effective architectures for GPU, CPU, and Embedded devices. Training in a few hours and with small data thanks to 25+ pre-trained models. Full Open Source, with an ecosystem of tools (API clients, video, annotation, ...) Fast Server written in pure C++, a single codebase for Cloud, Desktop & Embedded.
    Downloads: 2 This Week
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  • 7
    Vespa

    Vespa

    The open big data serving engine

    Make AI-driven decisions using your data, in real-time. At any scale, with unbeatable performance. Vespa is a full-featured text search engine and supports both regular text search and fast approximate vector search (ANN). This makes it easy to create high-performing search applications at any scale, whether you want to use traditional techniques or a modern vector-based approach. You can even combine both approaches efficiently in the same query, something no other engine can do....
    Downloads: 0 This Week
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  • 8
    DriveLM

    DriveLM

    Driving with Graph Visual Question Answering

    DriveLM is a research-oriented framework and dataset designed to explore how vision-language models can be integrated into autonomous driving systems. The project introduces a new paradigm called graph visual question answering that structures reasoning about driving scenes through interconnected tasks such as perception, prediction, planning, and motion control. Instead of treating autonomous driving as a purely sensor-driven pipeline, DriveLM frames it as a reasoning problem where models answer structured questions about the environment to guide decision making. The system includes DriveLM-Data, a dataset built on driving environments such as nuScenes and CARLA, where human-written reasoning steps connect different layers of driving tasks. ...
    Downloads: 0 This Week
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  • 9
    BuildingAI

    BuildingAI

    Build your own AI application system for free

    BuildingAI is an open-source project focused on applying artificial intelligence techniques to architectural design and building information modeling workflows. The platform aims to bridge the gap between natural language interfaces and building design tools by allowing AI systems to interpret user instructions and convert them into structured architectural operations. By combining generative AI capabilities with building data models, the system can assist with tasks such as design...
    Downloads: 0 This Week
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  • 10
    Kaldi

    Kaldi

    kaldi-asr/kaldi is the official location of the Kaldi project

    Kaldi is an open source toolkit for speech recognition research. It provides a powerful framework for building state-of-the-art automatic speech recognition (ASR) systems, with support for deep neural networks, Gaussian mixture models, hidden Markov models, and other advanced techniques. The toolkit is widely used in both academia and industry due to its flexibility, extensibility, and strong community support. Kaldi is designed for researchers who need a highly customizable environment to...
    Downloads: 4 This Week
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  • 11
    MindWork AI Studio

    MindWork AI Studio

    Independent cross-platform desktop app for local and cloud LLMs

    AI Studio by MindWorkAI is a cross-platform desktop application designed to provide a unified interface for interacting with multiple large language model providers, both local and cloud-based. It is built with a strong focus on accessibility and democratization, enabling users to run AI workflows even on low-cost hardware while maintaining flexibility in choosing providers such as OpenAI, Gemini, Anthropic, and self-hosted solutions like Ollama or llama.cpp. The platform introduces a...
    Downloads: 4 This Week
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  • 12
    Mooncake

    Mooncake

    Mooncake is the serving platform for Kimi

    Mooncake is an open-source infrastructure platform designed to optimize large language model serving by focusing on efficient management and transfer of model data and KV cache. The platform was originally developed as part of the serving infrastructure for the Kimi large language model system. Its architecture centers on a high-performance transfer engine that provides unified data transfer across different storage and networking technologies. This engine enables efficient movement of...
    Downloads: 0 This Week
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  • 13
    kg-gen

    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...
    Downloads: 0 This Week
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  • 14
    OpenMLDB

    OpenMLDB

    OpenMLDB is an open-source machine learning database

    OpenMLDB is an open-source machine learning database that provides a feature platform computing consistent features for training and inference. OpenMLDB is an open-source machine learning database that is committed to solving the data and feature challenges. OpenMLDB has been deployed in hundreds of real-world enterprise applications. It prioritizes the capability of feature engineering using SQL for open-source, which offers a feature platform enabling consistent features for training and...
    Downloads: 0 This Week
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  • 15
    Speech Note

    Speech Note

    Speech Note Linux app. Note taking, reading and translating

    Speech Note is a Linux desktop and Sailfish OS application for taking, reading, and translating notes with integrated offline speech technology. It combines speech-to-text, text-to-speech, and machine translation in a single interface, allowing users to dictate notes, listen back to them, and translate them without ever sending data to the cloud. All processing is done locally, which means audio, text, and translations never leave the device, emphasizing strong privacy guarantees. The...
    Downloads: 27 This Week
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  • 16
    TensorFlow

    TensorFlow

    TensorFlow is an open source library for machine learning

    Originally developed by Google for internal use, TensorFlow is an open source platform for machine learning. Available across all common operating systems (desktop, server and mobile), TensorFlow provides stable APIs for Python and C as well as APIs that are not guaranteed to be backwards compatible or are 3rd party for a variety of other languages. The platform can be easily deployed on multiple CPUs, GPUs and Google's proprietary chip, the tensor processing unit (TPU). TensorFlow...
    Downloads: 8 This Week
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  • 17
    TensorRT

    TensorRT

    C++ library for high performance inference on NVIDIA GPUs

    NVIDIA® TensorRT™ is an SDK for high-performance deep learning inference. It includes a deep learning inference optimizer and runtime that delivers low latency and high throughput for deep learning inference applications. TensorRT-based applications perform up to 40X faster than CPU-only platforms during inference. With TensorRT, you can optimize neural network models trained in all major frameworks, calibrate for lower precision with high accuracy, and deploy to hyperscale data centers,...
    Downloads: 23 This Week
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  • 18
    Clawdmeter

    Clawdmeter

    ESP32 desk dashboard that shows Claude Code usage

    Clawdmeter is an ESP32-based desk dashboard for monitoring Claude Code usage. It runs on supported Waveshare touch AMOLED ESP32 boards and pairs with a laptop over Bluetooth. The device displays usage information while also showing playful pixel-art Clawd animations that become busier as usage rate increases. It includes a companion macOS daemon that reads Claude credentials from the local Keychain, polls usage data, and sends updates to the display over BLE. The board’s side buttons can...
    Downloads: 5 This Week
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  • 19
    ONNX

    ONNX

    Open standard for machine learning interoperability

    ONNX is an open format built to represent machine learning models. ONNX defines a common set of operators - the building blocks of machine learning and deep learning models - and a common file format to enable AI developers to use models with a variety of frameworks, tools, runtimes, and compilers. Open Neural Network Exchange (ONNX) is an open ecosystem that empowers AI developers to choose the right tools as their project evolves. ONNX provides an open source format for AI models, both...
    Downloads: 10 This Week
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  • 20
    fairseq2

    fairseq2

    FAIR Sequence Modeling Toolkit 2

    fairseq2 is a modern, modular sequence modeling framework developed by Meta AI Research as a complete redesign of the original fairseq library. Built from the ground up for scalability, composability, and research flexibility, fairseq2 supports a broad range of language, speech, and multimodal content generation tasks, including instruction fine-tuning, reinforcement learning from human feedback (RLHF), and large-scale multilingual modeling. Unlike the original fairseq—which evolved into a...
    Downloads: 0 This Week
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  • 21
    HeavyDB

    HeavyDB

    HeavyDB (formerly MapD/OmniSciDB)

    HeavyDB is an open-source GPU-accelerated analytical database designed to perform extremely fast queries on large datasets. The system is built as a SQL-based relational columnar database engine that leverages modern hardware parallelism, including GPUs and multicore CPUs. Its architecture allows users to query datasets containing billions of rows in milliseconds without requiring traditional indexing, pre-aggregation, or sampling techniques. HeavyDB was originally developed as part of the...
    Downloads: 1 This Week
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  • 22
    OpenMonoAgent

    OpenMonoAgent

    Terminal-native coding agent powered by local LLMs

    OpenMonoAgent.ai is a self-hosted coding agent designed to run entirely on the user’s own hardware. It pairs a .NET CLI with a local llama.cpp inference server so developers can use agentic coding workflows without cloud subscriptions or per-token billing. The project emphasizes privacy, local control, and ownership of the model, compute, and project data. It includes a terminal-native workflow, built-in tools, Docker sandboxing, and code intelligence features. The system can run on CPU or...
    Downloads: 5 This Week
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  • 23
    Model Context Protocol (MCP)

    Model Context Protocol (MCP)

    Specification and documentation for the Model Context Protocol

    ...It gives developers a consistent way to expose tools, prompts, resources, and server capabilities to language models. Its broader ecosystem supports many languages, including TypeScript, Python, Java, Kotlin, C#, Go, PHP, Ruby, Rust, and Swift.
    Downloads: 1 This Week
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  • 24
    Kernel Memory

    Kernel Memory

    Research project. A Memory solution for users, teams, and applications

    Kernel Memory is an open-source reference architecture developed by Microsoft to help developers build memory systems for AI applications powered by large language models. The project focuses on enabling applications to store, index, and retrieve information so that AI systems can incorporate external knowledge when generating responses. It supports scenarios such as document ingestion, semantic search, and retrieval-augmented generation, allowing language models to answer questions using...
    Downloads: 0 This Week
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  • 25
    OceanBase seekdb

    OceanBase seekdb

    The AI-Native Search Database

    seekdb is an AI-native search database from OceanBase that unifies vector, full-text, relational, JSON, and GIS data into a single query engine. The system is designed to support hybrid search workloads and in-database AI workflows without requiring multiple specialized databases. It enables developers to perform semantic search, keyword search, and structured SQL queries within the same platform, simplifying modern AI application stacks. seekdb also embeds AI capabilities directly in the...
    Downloads: 0 This Week
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