Showing 12 open source projects for "support vector machine"

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  • 1
    Machine Learning Systems

    Machine Learning Systems

    Introduction to Machine Learning Systems

    Machine Learning Systems is an open educational repository that serves as the source and learning stack for the Machine Learning Systems textbook, a project focused on teaching how to engineer AI systems that work reliably in real-world environments. Rather than concentrating only on model training, the material emphasizes the broader discipline of AI engineering, covering efficiency, reliability, deployment, and evaluation across the full lifecycle of intelligent systems. The repository...
    Downloads: 5 This Week
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  • 2
    DeepCamera

    DeepCamera

    Open-Source AI Camera. Empower any camera/CCTV

    ...The source code is here It leverages Yolov7 as a person detector, FastReID for person feature extraction, Milvus the local vector database for self-supervised learning to identify unseen persons, Labelstudio to host images locally and for further usage such as label data and train your own classifier. It also integrates with Home-Assistant to empower smart homes with AI technology.
    Downloads: 5 This Week
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  • 3
    Netron

    Netron

    Visualizer for neural network, deep learning, machine learning models

    Netron is a viewer for neural network, deep learning and machine learning models. Netron supports ONNX, Keras, TensorFlow Lite, Caffe, Darknet, Core ML, MNN, MXNet, ncnn, PaddlePaddle, Caffe2, Barracuda, Tengine, TNN, RKNN, MindSpore Lite, and UFF. Netron has experimental support for TensorFlow, PyTorch, TorchScript, OpenVINO, Torch, Arm NN, BigDL, Chainer, CNTK, Deeplearning4j, MediaPipe, ML.NET, scikit-learn, TensorFlow.js.
    Downloads: 63 This Week
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  • 4
    Text-to-image Playground

    Text-to-image Playground

    A playground to generate images from any text prompt using SD

    dalle-playground is an open-source web application that allows users to generate images from natural language text prompts using modern text-to-image generative models. Originally built around DALL-E Mini, the project later transitioned to using Stable Diffusion, enabling more detailed and higher-quality image synthesis. The system combines a backend machine learning service with a browser-based frontend interface that lets users experiment interactively with prompt engineering and...
    Downloads: 1 This Week
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  • 5
    MagicMirror²

    MagicMirror²

    Modular smart mirror platform with a list of installable modules

    MagicMirror² is Open Source, free and maintained by a big group of enthusiasts. Got a nice idea? Send us a pull request and become a part of the big list of contributors. The core of MagicMirror² contains a strong API which allows 3rd party developers to build additional modules. Modules you can use. Modules you can develop. Read our extensive documentation to find out everything you want to know about the MagicMirror² project. The full API description allows you to build your own modules....
    Downloads: 6 This Week
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  • 6
    MindsDB

    MindsDB

    Making Enterprise Data Intelligent and Responsive for AI

    MindsDB is an AI data solution that enables humans, AI, agents, and applications to query data in natural language and SQL, and get highly accurate answers across disparate data sources and types. MindsDB connects to diverse data sources and applications, and unifies petabyte-scale structured and unstructured data. Powered by an industry-first cognitive engine that can operate anywhere (on-prem, VPC, serverless), it empowers both humans and AI with highly informed decision-making...
    Downloads: 2 This Week
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  • 7
    Sklearn TensorFlow

    Sklearn TensorFlow

    Sklearn and TensorFlow: A Practical Guide to Machine Learning

    Sklearn TensorFlow repository is an open-source project that provides a Chinese translation of the widely known book Hands-On Machine Learning with Scikit-Learn and TensorFlow. It aims to make practical machine learning education more accessible to Chinese-speaking learners by translating the technical explanations, examples, and exercises from the original English material. The repository organizes the content as structured documentation that can be compiled into multiple formats such as...
    Downloads: 0 This Week
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  • 8
    neurojs

    neurojs

    A JavaScript deep learning and reinforcement learning library

    neurojs is a JavaScript framework designed to enable deep learning and reinforcement learning directly within web environments. The library provides a full machine learning framework implemented in JavaScript that can run inside browsers or Node.js environments. It focuses particularly on reinforcement learning algorithms, enabling developers to create intelligent agents that learn through interaction with simulated environments. The framework supports neural network architectures and...
    Downloads: 0 This Week
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  • 9
    Semantic Segmentation Editor

    Semantic Segmentation Editor

    Web labeling tool for bitmap images and point clouds

    A web-based labeling tool for creating AI training data sets (2D and 3D). The tool has been developed in the context of autonomous driving research. It supports images (.jpg or .png) and point clouds (.pcd). It is a Meteor app developed with React, Paper.js, and three.js.
    Downloads: 5 This Week
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  • 10
    TenorSpace.js

    TenorSpace.js

    Neural network 3D visualization framework

    TensorSpace is a neural network 3D visualization framework built using TensorFlow.js, Three.js and Tween.js. TensorSpace provides Keras-like APIs to build deep learning layers, load pre-trained models, and generate a 3D visualization in the browser. From TensorSpace, it is intuitive to learn what the model structure is, how the model is trained and how the model predicts the results based on the intermediate information. After preprocessing the model, TensorSpace supports the visualization...
    Downloads: 1 This Week
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  • 11
    NN-SVG

    NN-SVG

    Publication-ready NN-architecture schematics

    Illustrations of Neural Network architectures are often time-consuming to produce, and machine learning researchers all too often find themselves constructing these diagrams from scratch by hand. NN-SVG is a tool for creating Neural Network (NN) architecture drawings parametrically rather than manually. It also provides the ability to export those drawings to Scalable Vector Graphics (SVG) files, suitable for inclusion in academic papers or web pages.
    Downloads: 6 This Week
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  • 12
    Keras.js

    Keras.js

    Run Keras models in the browser, with GPU support using WebGL

    Run Keras models in the browser, with GPU support provided by WebGL 2. Models can be run in Node.js as well, but only in CPU mode. Because Keras abstracts away a number of frameworks as backends, the models can be trained in any backend, including TensorFlow, CNTK, etc. Check out the demos/ directory for real examples running Keras.js in VueJS. Library version compatibility, Keras 2.1.2.
    Downloads: 0 This Week
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