Showing 8 open source projects for "q learning"

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  • 1
    PennyLane

    PennyLane

    A cross-platform Python library for differentiable programming

    ...You can combine multiple quantum devices with classical processing arbitrarily! Support for hybrid quantum and classical models, and compatible with existing machine learning libraries. Quantum circuits can be set up to interface with either NumPy, PyTorch, JAX, or TensorFlow, allowing hybrid CPU-GPU-QPU computations. The same quantum circuit model can be run on different devices. Install plugins to run your computational circuits on more devices, including Strawberry Fields, Amazon Braket, Qiskit and IBM Q, Google Cirq, Rigetti Forest, and the Microsoft QDK.
    Downloads: 0 This Week
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  • 2
    Interview_Question_for_Beginner

    Interview_Question_for_Beginner

    Technical-Interview guidelines written for studying programming

    Interview_Question_for_Beginner is a technical-interview study repository created for people beginning careers in software development. It organizes common interview knowledge into structured computer-science, programming-language, and specialization sections. Core topics include data structures, networking, operating systems, databases, design patterns, algorithms, and general development concepts. Language-specific material covers Java, JavaScript, and Python. Separate sections address...
    Downloads: 0 This Week
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  • 3
    DeepPavlov

    DeepPavlov

    A library for deep learning end-to-end dialog systems and chatbots

    ...It has comprehensive and flexible tools that let developers and NLP researchers create production-ready conversational skills and complex multi-skill conversational assistants. Use BERT and other state-of-the-art deep learning models to solve classification, NER, Q&A and other NLP tasks. DeepPavlov Agent allows building industrial solutions with multi-skill integration via API services.
    Downloads: 0 This Week
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  • 4
    nunn

    nunn

    This is an implementation of a machine learning library in C++17

    nunn is a collection of ML algorithms and related examples written in modern C++17.
    Downloads: 1 This Week
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  • 5
    go-best-practice

    go-best-practice

    Trying to complete over 100 projects in various categories in golang

    go-best-practice is essentially a Go book and code collection called “Go 实战开发” (“Go in Practice”), born from the idea of building over 100 practical projects in different categories using Go. It combines an ebook/zh directory with written chapters and a src directory that holds the corresponding source code, so readers can move seamlessly between theory and practice. The goal is to help developers go beyond basic syntax and actually build real applications, drawing inspiration from similar...
    Downloads: 0 This Week
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  • 6
    REINFORCEjs

    REINFORCEjs

    Reinforcement Learning Agents in Javascript

    REINFORCEjs is a JavaScript reinforcement-learning library built to demonstrate several major RL algorithms directly in the browser. It includes dynamic programming methods for finite environments and tabular temporal-difference learning with SARSA and Q-learning. A Deep Q-Learning agent extends Q-learning to continuous state features through neural-network function approximation.
    Downloads: 0 This Week
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  • 7
    ConvNetJS

    ConvNetJS

    Deep learning in Javascript to train convolutional neural networks

    ConvNetJS is a Javascript library for training Deep Learning models (Neural Networks) entirely in your browser. Open a tab and you're training. No software requirements, no compilers, no installations, no GPUs, no sweat. ConvNetJS is an implementation of Neural networks, together with nice browser-based demos. It currently supports common Neural Network modules (fully connected layers, non-linearities), classification (SVM/Softmax) and Regression (L2) cost functions, ability to specify and train Convolutional Networks that process images, and experimental Reinforcement Learning modules, based on Deep Q Learning. ...
    Downloads: 0 This Week
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  • 8
    Foad (EKG Processing)
    Foad is an open source software which receive an EKG Signal from scanner, WFDB database or heart sensors. Finding patient disease started by taking Fourier transform (FFT) from input signal and extract a single cycle. Based on some heuristic algorithm the most important feature like P , Q , R , S , T captured and feed to trained neural network. and so the final decision made by CNN library. As mentioned before this software also capable do some image processing on scanned paper to lower...
    Downloads: 0 This Week
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