Showing 6 open source projects for "tiny"

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    Tiny CUDA Neural Networks

    Tiny CUDA Neural Networks

    Lightning fast C++/CUDA neural network framework

    ...It will likely only work on an RTX 3090, an RTX 2080 Ti, or high-end enterprise GPUs. Lower-end cards must reduce the n_neurons parameter or use the CutlassMLP (better compatibility but slower) instead. tiny-cuda-nn comes with a PyTorch extension that allows using the fast MLPs and input encodings from within a Python context. These bindings can be significantly faster than full Python implementations; in particular for the multiresolution hash encoding.
    Downloads: 0 This Week
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  • 2
    TensorFlow Lite for Microcontrollers

    TensorFlow Lite for Microcontrollers

    Infrastructure to enable deployment of ML models

    TensorFlow Lite for Microcontrollers is a TensorFlow Lite runtime designed for running machine learning models on tiny embedded devices. It targets microcontrollers, DSPs, and other resource-constrained hardware where memory, compute, and power are limited. The project enables on-device inference without depending on an operating system, standard C or C++ libraries, or dynamic memory allocation. It is useful for applications such as wake-word detection, sensor analysis, gesture recognition, anomaly detection, and small vision or audio models. ...
    Downloads: 6 This Week
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  • 3
    Bullet Physics SDK

    Bullet Physics SDK

    Real-time collision detection and multi-physics simulation for VR

    This is the official C++ source code repository of the Bullet Physics SDK: real-time collision detection and multi-physics simulation for VR, games, visual effects, robotics, machine learning etc. We are developing a new differentiable simulator for robotics learning, called Tiny Differentiable Simulator, or TDS. The simulator allows for hybrid simulation with neural networks. It allows different automatic differentiation backends, for forward and reverse mode gradients. TDS can be trained using Deep Reinforcement Learning, or using Gradient based optimization (for example LFBGS). In addition, the simulator can be entirely run on CUDA for fast rollouts, in combination with Augmented Random Search. ...
    Downloads: 2 This Week
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  • 4
    tiny-dnn

    tiny-dnn

    header only, dependency-free deep learning framework in C++14

    tiny-dnn is a C++14 implementation of deep learning. It is suitable for deep learning on limited computational resources, embedded systems, and IoT devices.
    Downloads: 0 This Week
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    Identification

    A tiny "guess what I'm thinking about" game, or an identifier.

    This is a tiny game : think about something and answer the questions the software asks. The goal is to have a "identifier" which is able, for instance, to find which mushroom you have in your hands.
    Downloads: 0 This Week
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  • 6
    tiny-AI Library

    tiny-AI Library

    small and fast C++ library dealing with artificial intelligence

    A fast artificial intelligence library which currently supports: kNN (k-Nearest Neighbor algorithm) MLP (Multilayer-Perceptron)
    Downloads: 0 This Week
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