Showing 18 open source projects for "machine learning platform"

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  • Build Agents and Models on One Platform Icon
    Build Agents and Models on One Platform

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  • 1
    MNN

    MNN

    MNN is a blazing fast, lightweight deep learning framework

    MNN is a highly efficient and lightweight deep learning framework. It supports inference and training of deep learning models, and has industry leading performance for inference and training on-device. At present, MNN has been integrated in more than 20 apps of Alibaba Inc, such as Taobao, Tmall, Youku, Dingtalk, Xianyu and etc., covering more than 70 usage scenarios such as live broadcast, short video capture, search recommendation, product searching by image, interactive marketing, equity distribution, security risk control. ...
    Downloads: 18 This Week
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  • 2
    MediaPipe

    MediaPipe

    Cross-platform, customizable ML solutions for live and streaming media

    MediaPipe offers open-source cross-platform, customizable ML solutions for live and streaming media. Provides segmentation masks for prominent humans in the scene. MediaPipe Face Mesh is a face geometry solution that estimates 468 3D face landmarks in real-time even on mobile devices. It employs machine learning (ML) to infer the 3D surface geometry, requiring only a single camera input without the need for a dedicated depth sensor.
    Downloads: 59 This Week
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  • 3
    MegEngine

    MegEngine

    Easy-to-use deep learning framework with 3 key features

    MegEngine is a fast, scalable and easy-to-use deep learning framework with 3 key features. You can represent quantization/dynamic shape/image pre-processing and even derivation in one model. After training, just put everything into your model and inference it on any platform at ease. Speed and precision problems won't bother you anymore due to the same core inside. In training, GPU memory usage could go down to one-third at the cost of only one additional line, which enables the DTR algorithm. ...
    Downloads: 1 This Week
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  • 4
    Tiny CUDA Neural Networks

    Tiny CUDA Neural Networks

    Lightning fast C++/CUDA neural network framework

    This is a small, self-contained framework for training and querying neural networks. Most notably, it contains a lightning-fast "fully fused" multi-layer perceptron (technical paper), a versatile multiresolution hash encoding (technical paper), as well as support for various other input encodings, losses, and optimizers. We provide a sample application where an image function (x,y) -> (R,G,B) is learned. The fully fused MLP component of this framework requires a very large amount of shared...
    Downloads: 1 This Week
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  • MongoDB Atlas runs apps anywhere Icon
    MongoDB Atlas runs apps anywhere

    Deploy in 115+ regions with the modern database for every enterprise.

    MongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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  • 5
    OneFlow

    OneFlow

    OneFlow is a deep learning framework designed to be user-friendly

    ...It adheres to the core concept and architecture of static compilation and streaming parallelism and solves the memory wall challenge at the cluster level. world-leading level. Provides a variety of services from primary AI talent training to enterprise-level machine learning lifecycle integrated management (MLOps), including AI training and AI development, and supports three deployment modes of public cloud, private cloud and hybrid cloud.
    Downloads: 1 This Week
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  • 6
    stkpp

    stkpp

    C++ Statistical ToolKit

    STK++ (http://www.stkpp.org) is a versatile, fast, reliable and elegant collection of C++ classes for statistics, clustering, linear algebra, arrays (with an Eigen-like API), regression, dimension reduction, etc. Some functionalities provided by the library are available in the R environment as R functions (http://cran.at.r-project.org/web/packages/rtkore/index.html). At a convenience, we propose the source packages on sourceforge. The library offers a dense set of (mostly) template...
    Downloads: 1 This Week
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  • 7
    MACE

    MACE

    Deep learning inference framework optimized for mobile platforms

    Mobile AI Compute Engine (or MACE for short) is a deep learning inference framework optimized for mobile heterogeneous computing on Android, iOS, Linux and Windows devices. Runtime is optimized with NEON, OpenCL and Hexagon, and Winograd algorithm is introduced to speed up convolution operations. The initialization is also optimized to be faster. Chip-dependent power options like big.LITTLE scheduling, Adreno GPU hints are included as advanced APIs. UI responsiveness guarantee is sometimes...
    Downloads: 0 This Week
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  • 8
    TNN

    TNN

    Uniform deep learning inference framework for mobile

    TNN, a high-performance, lightweight neural network inference framework open sourced by Tencent Youtu Lab. It also has many outstanding advantages such as cross-platform, high performance, model compression, and code tailoring. The TNN framework further strengthens the support and performance optimization of mobile devices on the basis of the original Rapidnet and ncnn frameworks. At the same time, it refers to the high performance and good scalability characteristics of the industry's...
    Downloads: 0 This Week
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  • 9
    Keystone Engine

    Keystone Engine

    Keystone assembler framework: Core (Arm, Arm64, Hexagon, Mips, etc.)

    Keystone is a lightweight multi-platform, multi-architecture assembler framework. Multi-architecture, with support for Arm, Arm64 (AArch64/Armv8), Ethereum Virtual Machine, Hexagon, Mips, PowerPC, Sparc, SystemZ, & X86 (include 16/32/64bit). Clean/simple/lightweight/intuitive architecture-neutral API. Implemented in C/C++ languages, with bindings for Java, Masm, Visual Basic, C#, PowerShell, Perl, Python, NodeJS, Ruby, Go, Rust, Haskell & OCaml available.
    Downloads: 1 This Week
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  • Auth0 B2B Essentials: SSO, MFA, and RBAC Built In Icon
    Auth0 B2B Essentials: SSO, MFA, and RBAC Built In

    Unlimited organizations, 3 enterprise SSO connections, role-based access control, and pro MFA included. Dev and prod tenants out of the box.

    Auth0's B2B Essentials plan gives you everything you need to ship secure multi-tenant apps. Unlimited orgs, enterprise SSO, RBAC, audit log streaming, and higher auth and API limits included. Add on M2M tokens, enterprise MFA, or additional SSO connections as you scale.
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  • 10
    handy

    handy

    A simple C++11 network server framework

    Simple and easy-to-use C++11 network library/ Supports tens of millions of concurrent connections on a single machine/ a simple C++11 network server framework. Graceful exit allows programmers to better define the exit behavior of their programs. You can better check for memory leaks with tools such as valgrind. 10 lines of code to write a complete server. Asynchronously manages network I/O and processes requests synchronously, which simplifies the writing of server processing logic. For...
    Downloads: 0 This Week
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  • 11
    Caffe Framework

    Caffe Framework

    Caffe, a fast open framework for deep learning

    Caffe is a deep learning framework made with expression, speed, and modularity in mind. It is developed by Berkeley AI Research (BAIR) and by community contributors. Yangqing Jia created the project during his PhD at UC Berkeley. Caffe is released under the BSD 2-Clause license. Expressive architecture encourages application and innovation. Models and optimization are defined by configuration without hard-coding.
    Downloads: 1 This Week
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  • 12
    Caffe

    Caffe

    A fast open framework for deep learning

    Caffe is an open source deep learning framework that’s focused on expression, speed and modularity. It’s got an expressive architecture that encourages application and innovation, and extensible code that’s great for active development. Caffe also offers great speed, capable of processing over 60M images per day with a single NVIDIA K40 GPU. It’s arguably one of the fastest convnet implementations around. Caffe is developed by the Berkeley AI Research (BAIR)/The Berkeley Vision and...
    Downloads: 0 This Week
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  • 13
    State Controller Library

    State Controller Library

    A C++ framework that implements generalised finite state machines.

    The State Controller Library is a generic platform-independent C++ framework that allows finite state machines and multi-action planning generalisations thereof to be realised. The structure and implementation of this library focuses on the application of finite state machines to real-time control loops, but can be reasonably adapted for virtually any other application, even completely unrelated to control systems. An emphasis has been placed on having very low overhead so as not to hurt...
    Downloads: 0 This Week
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  • 14
    IsItQt (Qt)

    IsItQt (Qt)

    Identifies if Linux program was created by Qt and version!

    IsItQt is a Linux console application to identify if the program was created using Qt and in most cases, using which version of Qt was it created. Article about usage: http://www.cplusplus.com/articles/y3TbqMoL/
    Downloads: 0 This Week
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  • 15
    Candle App Platform

    Candle App Platform

    An unified platform for desktop and Internet apps

    An rich application development platform for both desktops and the Internet. It supports technologies like XSLT, XQuery, XML Schema, RELAX NG, XHTML, SVG, and a new scripting language - Candle (Common ApplicatioN Development LanguagE).
    Downloads: 0 This Week
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  • 16
    abiquo platform allows to create intelligent distributed networks interconnecting all kind of devices. We ease the interaction between gadgets, users and organizations through empowering technologies which add intelligence to actual networks.
    Downloads: 0 This Week
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  • 17
    SIGMA (SImple Game MAchine) Framework - scalable platform for multimedia applications development.
    Downloads: 0 This Week
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  • 18
    This project aims to provide a generic machine vision platform. We welcome all developer to share and to learn create plug-in for the community. The founders of this project are A.N.Y. Albert/Nelson/Yuzzairee
    Downloads: 0 This Week
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