Showing 4614 open source projects for "q-learning"

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  • 1
    The Julia Programming Language

    The Julia Programming Language

    High-level, high-performance dynamic language for technical computing

    Julia is a fast, open source high-performance dynamic language for technical computing. It can be used for data visualization and plotting, deep learning, machine learning, scientific computing, parallel computing and so much more. Having a high level syntax, Julia is easy to use for programmers of every level and background. Julia has more than 2,800 community-registered packages including various mathematical libraries, data manipulation tools, and packages for general purpose computing...
    Downloads: 2 This Week
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  • 2
    Azure Quantum Development Kit

    Azure Quantum Development Kit

    Azure Quantum Development Kit

    Azure Quantum Development Kit, including the Q# programming language, resource estimator, and Quantum Katas. The playground is a small website that loads the Q# editor, compiler, samples, katas, and documentation for the standard library. It's a way to manually validate any changes you make to these components. The easiest way to develop in this repo is to use VS Code. When you open the project root, by default VS Code will recommend you install the extensions listed in .vscode/extensions.json...
    Downloads: 1 This Week
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  • 3
    NextUI

    NextUI

    Beautiful, fast and modern React UI library.

    Make beautiful websites regardless of your design experience. Beautiful, fast, and modern React UI library. Provides a plugin to customize default themes, you can change all semantic tokens or create an entirely new theme. Built on top of Tailwind CSS, which means no runtime styles, and no unnecessary classes in your bundle. Automatic dark mode recognition, NextUI automatically changes the theme when detects HTML theme prop changes. NextUI is fully-typed to minimize the learning curve...
    Downloads: 3 This Week
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  • 4
    Catalyst.jl

    Catalyst.jl

    Chemical reaction network and systems biology interface

    ... simulation and parameter estimation of mass action ODE models, Chemical Langevin SDE models, stochastic chemical kinetics jump process models, and more. Generated models can be used with solvers throughout the broader SciML ecosystem, including higher-level SciML packages (e.g. for sensitivity analysis, parameter estimation, machine learning applications, etc).
    Downloads: 3 This Week
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    MudBlazor

    MudBlazor

    Do more with Blazor, utilizing CSS and keeping Javascript to a minimum

    Trusted by thousands of users, from hobby developers to large enterprises. Use MudBlazor to rapidly build amazing web applications without leaving your loved C# language and toolchain. We bring together everything that's required to build amazing Blazor applications that scale from desktop to mobile. Apart from the library itself we also provide templates, a learning platform, theme manager, demo and example projects as well as an online code editor integrated with our documentation and issue...
    Downloads: 3 This Week
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  • 6
    POCO

    POCO

    Cross-platform C++ libraries for building network applications

    The POCO C++ Libraries are powerful cross-platform C++ libraries for building network- and internet-based applications that run on desktop, server, mobile, IoT, and embedded systems. Whether building automation systems, industrial automation, IoT platforms, air traffic management systems, enterprise IT application and infrastructure management, security and network analytics, automotive infotainment and telematics, financial or healthcare, C++ developers have been trusting the POCO C++...
    Downloads: 3 This Week
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  • 7
    Less.js

    Less.js

    Less, the dynamic stylesheet language

    Less (which stands for Leaner Style Sheets) is a backwards-compatible language extension for CSS. This is the official documentation for Less, the language and Less.js, the JavaScript tool that converts your Less styles to CSS styles. Because Less looks just like CSS, learning it is a breeze. Less only makes a few convenient additions to the CSS language, which is one of the reasons it can be learned so quickly. Less gives you the ability to use nesting instead of, or in combination...
    Downloads: 3 This Week
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  • 8
    DevOps

    DevOps

    Contains learning resources related to DevOps tools and tech

    I created this repository to keep my learning, notes, and code in one place for various tools in DevOps. Now, it's helping thousands of learners, practitioners, and professionals every day in their DevOps journey.
    Downloads: 1 This Week
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  • 9
    FiftyOne

    FiftyOne

    The open-source tool for building high-quality datasets

    The open-source tool for building high-quality datasets and computer vision models. Nothing hinders the success of machine learning systems more than poor-quality data. And without the right tools, improving a model can be time-consuming and inefficient. FiftyOne supercharges your machine learning workflows by enabling you to visualize datasets and interpret models faster and more effectively. Improving data quality and understanding your model’s failure modes are the most impactful ways...
    Downloads: 2 This Week
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  • 10
    Lightning Bolts

    Lightning Bolts

    Toolbox of models, callbacks, and datasets for AI/ML researchers

    Bolts package provides a variety of components to extend PyTorch Lightning, such as callbacks & datasets, for applied research and production. Torch ORT converts your model into an optimized ONNX graph, speeding up training & inference when using NVIDIA or AMD GPUs. We can introduce sparsity during fine-tuning with SparseML, which ultimately allows us to leverage the DeepSparse engine to see performance improvements at inference time.
    Downloads: 2 This Week
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  • 11
    AmpliGraph

    AmpliGraph

    Python library for Representation Learning on Knowledge Graphs

    Open source library based on TensorFlow that predicts links between concepts in a knowledge graph. AmpliGraph is a suite of neural machine learning models for relational Learning, a branch of machine learning that deals with supervised learning on knowledge graphs.
    Downloads: 1 This Week
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  • 12
    BotSharp

    BotSharp

    Open source AI chatbot platform builder in 100% C#

    Conversation as a platform (CaaP) is the future, so it's perfect that we're already offering the whole toolkits to our .NET developers using the BotSharp AI BOT Platform Builder to build a CaaP. It opens up as much learning power as possible for your own robots and precisely control every step of the AI processing pipeline. BotSharp is an open source machine learning framework for AI Bot platform builder. This project involves natural language understanding, computer vision and audio processing...
    Downloads: 2 This Week
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  • 13
    deepface

    deepface

    A Lightweight Face Recognition and Facial Attribute Analysis

    DeepFace is a lightweight face recognition and facial attribute analysis (age, gender, emotion and race) framework for python. It is a hybrid face recognition framework wrapping state-of-the-art models: VGG-Face, FaceNet, OpenFace, DeepFace, DeepID, ArcFace, Dlib, SFace and GhostFaceNet. Experiments show that human beings have 97.53% accuracy on facial recognition tasks whereas those models already reached and passed that accuracy level.
    Downloads: 2 This Week
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  • 14
    TF2DeepFloorplan

    TF2DeepFloorplan

    TF2 Deep FloorPlan Recognition using a Multi-task Network

    TF2 Deep FloorPlan Recognition using a Multi-task Network with Room-boundary-Guided Attention. Enable tensorboard, quantization, flask, tflite, docker, github actions and google colab. This repo contains a basic procedure to train and deploy the DNN model suggested by the paper 'Deep Floor Plan Recognition using a Multi-task Network with Room-boundary-Guided Attention'. It rewrites the original codes from zlzeng/DeepFloorplan into newer versions of Tensorflow and Python.
    Downloads: 2 This Week
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  • 15
    GPT-NeoX

    GPT-NeoX

    Implementation of model parallel autoregressive transformers on GPUs

    This repository records EleutherAI's library for training large-scale language models on GPUs. Our current framework is based on NVIDIA's Megatron Language Model and has been augmented with techniques from DeepSpeed as well as some novel optimizations. We aim to make this repo a centralized and accessible place to gather techniques for training large-scale autoregressive language models, and accelerate research into large-scale training. For those looking for a TPU-centric codebase, we...
    Downloads: 2 This Week
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  • 16
    PixelAnnotationTool

    PixelAnnotationTool

    Annotate quickly images

    Software that allows you to manually and quickly annotate images in directories. The method is pseudo manual because it uses the algorithm watershed marked of OpenCV. The general idea is to manually provide the marker with brushes and then to launch the algorithm. If at first pass the segmentation needs to be corrected, the user can refine the markers by drawing new ones on the erroneous areas.
    Downloads: 2 This Week
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  • 17
    Pedalboard

    Pedalboard

    A Python library for audio

    ... is used for data augmentation to improve machine learning models and to help power features like Spotify’s AI DJ and AI Voice Translation. pedalboard also helps in the process of content creation, making it possible to add effects to audio without using a Digital Audio Workstation.
    Downloads: 2 This Week
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  • 18
    Learn Go with Tests

    Learn Go with Tests

    Learn Go with test-driven development

    Katas are fun but they are usually limited in their scope for learning a language; you're unlikely to use goroutines to solve a kata. Another problem is when you have varying levels of enthusiasm. Some people just learn way more of the language than others and when demonstrating what they have done end up confusing people with features the others are not familiar with. This ends up making the learning feel quite unstructured and ad hoc. By far the most effective way was by slowly introducing...
    Downloads: 2 This Week
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  • 19
    Flower

    Flower

    Flower: A Friendly Federated Learning Framework

    A unified approach to federated learning, analytics, and evaluation. Federate any workload, any ML framework, and any programming language. Federated learning systems vary wildly from one use case to another. Flower allows for a wide range of different configurations depending on the needs of each individual use case. Flower originated from a research project at the University of Oxford, so it was built with AI research in mind. Many components can be extended and overridden to build new state...
    Downloads: 1 This Week
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  • 20
    doccano

    doccano

    Open source annotation tool for machine learning practitioners

    doccano is an open-source text annotation tool for humans. It provides annotation features for text classification, sequence labeling and sequence-to-sequence tasks. So, you can create labeled data for sentiment analysis, named entity recognition, text summarization and so on. Just create a project, upload data and start annotating. You can build a dataset in hours.
    Downloads: 2 This Week
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  • 21
    NautilusTrader

    NautilusTrader

    A high-performance algorithmic trading platform

    NautilusTrader is an open-source, high-performance, production-grade algorithmic trading platform, provides quantitative traders with the ability to backtest portfolios of automated trading strategies on historical data with an event-driven engine, and also deploy those same strategies live, with no code changes. The platform is 'AI-first', designed to develop and deploy algorithmic trading strategies within a highly performant and robust Python native environment. This helps to address the...
    Downloads: 2 This Week
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  • 22
    ROOT

    ROOT

    Analyzing, storing and visualizing big data, scientifically

    ROOT is a unified software package for the storage, processing, and analysis of scientific data: from its acquisition to the final visualization in the form of highly customizable, publication-ready plots. It is reliable, performant and well supported, easy to use and obtain, and strives to maximize the quantity and impact of scientific results obtained per unit cost, both of human effort and computing resources. ROOT provides a very efficient storage system for data models, that...
    Downloads: 2 This Week
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  • 23
    ACHE Focused Crawler

    ACHE Focused Crawler

    ACHE is a web crawler for domain-specific search

    ACHE is a focused web crawler. It collects web pages that satisfy some specific criteria, e.g., pages that belong to a given domain or that contain a user-specified pattern. ACHE differs from generic crawlers in sense that it uses page classifiers to distinguish between relevant and irrelevant pages in a given domain. A page classifier can be defined as a simple regular expression (e.g., that matches every page that contains a specific word) or a machine-learning-based classification model...
    Downloads: 2 This Week
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  • 24
    SSD in PyTorch 1.0

    SSD in PyTorch 1.0

    High quality, fast, modular reference implementation of SSD in PyTorch

    This repository implements SSD (Single Shot MultiBox Detector). The implementation is heavily influenced by the projects ssd.pytorch, pytorch-ssd and maskrcnn-benchmark. This repository aims to be the code base for research based on SSD. Multi-GPU training and inference: We use DistributedDataParallel, you can train or test with arbitrary GPU(s), the training schema will change accordingly. Add your own modules without pain. We abstract backbone, Detector, BoxHead, BoxPredictor, etc. You can...
    Downloads: 2 This Week
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  • 25
    Codon

    Codon

    A high-performance, zero-overhead, extensible Python compiler

    Codon is a high-performance Python compiler that compiles Python code to native machine code without any runtime overhead. Typical speedups over Python are on the order of 100x or more, on a single thread. Codon supports native multithreading which can lead to speedups many times higher still. The Codon framework is fully modular and extensible, allowing for the seamless integration of new modules, compiler optimizations, domain-specific languages and so on. We actively develop Codon...
    Downloads: 2 This Week
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