Search Results for "artificial neural network code"

Showing 11 open source projects for "artificial neural network code"

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  • 1
    ncnn

    ncnn

    High-performance neural network inference framework for mobile

    ncnn is a high-performance neural network inference computing framework designed specifically for mobile platforms. It brings artificial intelligence right at your fingertips with no third-party dependencies, and speeds faster than all other known open source frameworks for mobile phone cpu. ncnn allows developers to easily deploy deep learning algorithm models to the mobile platform and create intelligent APPs.
    Downloads: 18 This Week
    Last Update:
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  • 2
    Rhino

    Rhino

    On-device Speech-to-Intent engine powered by deep learning

    Rhino is Picovoice's Speech-to-Intent engine. It directly infers intent from spoken commands within a given context of interest, in real-time. The end-to-end platform for embedding private voice AI into any software in a few lines of code. Design with no limits on top of a modular platform. Create use-case-specific voice AI models in seconds. Develop voice features with a few lines of code using intuitive and cross-platform SDKs. Deliver voice AI everywhere: on-device, mobile, web browsers,...
    Downloads: 0 This Week
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  • 3
    Klavis AI

    Klavis AI

    MCP integration platforms for AI agents to use tools at any scale

    Klavis AI is a Y Combinator X25-backed open-source infrastructure platform that enables AI agents to reliably connect with external tools and services at scale through Model Context Protocol (MCP). Founded by ex-Google DeepMind and ex-Lyft engineers, Klavis provides 50+ production-ready MCP servers with enterprise OAuth support for GitHub, Slack, Gmail, Salesforce, Linear, Notion, and more. The flagship product Strata solves tool overload through progressive discovery, achieving +13% higher...
    Downloads: 0 This Week
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  • 4
    Adaptive Intelligence

    Adaptive Intelligence

    Adaptive Intelligence also known as "Artificial General Intelligence"

    Adaptive Intelligence is the implementation of neural science, forensic psychology , behavioral science with machine-learning and artificial intelligence to provide advanced automated software platforms with the ability to adjust and thrive in dynamic environments by combining cognitive flexibility, emotional regulation, resilience, and practical problem-solving skills.
    Downloads: 10 This Week
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  • 5
    iOS-10-Sampler

    iOS-10-Sampler

    Code examples for new APIs of iOS 10

    iOS-10-Sampler is an example application that collects practical demonstrations of APIs introduced with iOS 10. It was created for Xcode 8 and requires a physical iOS device because some examples use Metal. The project covers speech recognition, looped video playback, Live Photo capture, and audio volume fading. Its graphics and machine learning samples use Metal Performance Shaders for handwritten digit detection and real-time image recognition. Interface examples demonstrate...
    Downloads: 0 This Week
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  • 6
    GitLab CE Server For Local Intranets

    GitLab CE Server For Local Intranets

    The Free & Popular Community git Server in a Complete Virtual Machine

    This VM is created for 2 reasons: 1. Very little initial setup work required to make a GIT Server live, within minutes. 2. This system should keep running for Years, without requiring Updates / Breakages. If you are new to Virtual Machines, then please watch the Video below ( taken from my other project. just replace td with gi wherever mentioned ) After starting this VM, please login to its administration panel with: Website Address: https://gi.local/ ( Accept Any Warnings due to...
    Downloads: 0 This Week
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  • 7
    Apple Neural Engine (ANE) Transformers

    Apple Neural Engine (ANE) Transformers

    Reference implementation of the Transformer architecture optimized

    ANE Transformers is a reference PyTorch implementation of Transformer components optimized for Apple Neural Engine on devices with A14 or newer and on Macs with M1 or newer chips. It demonstrates how to structure attention and related layers to achieve substantial speedups and lower peak memory compared to baseline implementations when deployed to ANE. The repository targets practitioners who want to keep familiar PyTorch modeling while preparing models for Core ML/ANE execution paths....
    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.
    Downloads: 0 This Week
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  • 9
    MTProto

    MTProto

    Full-native go implementation of Telegram API

    Full-native implementation of MTProto protocol on Golang. All code, from sending requests to encryption serialization is written in pure Golang. You don't need to fetch any additional dependencies.
    Downloads: 43 This Week
    Last Update:
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  • 10
    Bender

    Bender

    Easily craft fast Neural Networks on iOS

    Bender allows you to easily define and run neural networks on your iOS apps, it uses Apple’s MetalPerformanceShaders under the hood. Bender provides the ease of use of CoreML with the flexibility of a modern ML framework. Bender allows you to run trained models, you can use Tensorflow, Keras, Caffe, the choice is yours. Either freeze the graph or export the weights to files. You can import a frozen graph directly from supported platforms or re-define the network structure and load the...
    Downloads: 0 This Week
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  • 11
    Jarvis Celibi

    Jarvis Celibi

    A smart bot for basic tasks.

    The idea is simple. Creating a program to simulate an artificially intelligent computer capable of carrying out simple task. Jarvis Celibi 4.2 is not artificial intelligence. It is not machine learning. It is not a neural network. And it is still under development.
    Downloads: 0 This Week
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