Search Results for "learning classifier system" - Page 26

Showing 1043 open source projects for "learning classifier system"

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  • 1
    DC-TTS

    DC-TTS

    TensorFlow Implementation of DC-TTS: yet another text-to-speech model

    DC-TTS is a TensorFlow implementation of the DC-TTS architecture, a fully convolutional text-to-speech system designed to be efficiently trainable while producing natural speech. It follows the “Efficiently Trainable Text-to-Speech System Based on Deep Convolutional Networks with Guided Attention” paper, but the author adapts and extends the design to make it practical for real experiments. The model is split into two networks: Text2Mel, which maps text to mel-spectrograms, and SSRN...
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  • 2
    MMORPG

    MMORPG

    MMORPG

    This MMORPG project is a Flash-based multiplayer online role-playing game engine designed for browser gameplay. It includes core components such as character movement, chat, map transitions, and simple combat systems, serving as a foundation for developing 2D online games. The codebase is suitable for learning how multiplayer mechanics work in ActionScript and supports socket-based networking.
    Downloads: 0 This Week
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  • 3
    Serenata de Amor

    Serenata de Amor

    Artificial Intelligence for social control of public administration

    ...It focuses on analyzing publicly available datasets related to reimbursements claimed by Brazilian congress members in order to detect suspicious or irregular expenses. Machine learning techniques and data analysis pipelines are used to identify anomalies that may indicate misuse of public funds. The system also includes automated tools that assist in processing large datasets and generating reports about potentially problematic transactions. By making both the data and the analysis tools open source, the project encourages civic participation and collaborative oversight of government activities.
    Downloads: 0 This Week
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  • 4
    Intel neon

    Intel neon

    Intel® Nervana™ reference deep learning framework

    ...The gpu backend is selected by default, so the above command is equivalent to if a compatible GPU resource is found on the system. The Intel Math Kernel Library takes advantages of the parallelization and vectorization capabilities of Intel Xeon and Xeon Phi systems. When hyperthreading is enabled on the system, we recommend the following KMP_AFFINITY setting to make sure parallel threads are 1:1 mapped to the available physical cores.
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  • 5
    DDS Touchstone is a scenario-driven Open Source benchmarking framework for evaluating the performance of OMG DDS compliant implementations. For learning quickly how to use DDS Touchstone please visit http://www.youtube.com/user/OpenSpliceTube
    Downloads: 0 This Week
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  • 6
    NIVEL9

    NIVEL9

    Programa para crear y ejecutar Sistemas Expertos

    NIVEL9 es el nombre del software informático diseñado por el Ing. Mauricio Ernesto Alfaro, el cual se basa en las teorías de Inteligencia Artificial, específicamente de Sistemas Expertos. NIVEL9 entra en la categoría de "caparazón para sistema experto" o mejor conocido en inglés como "Expert System Shell": es decir un software para crear diferentes Sistemas Expertos y ejecutarlos dentro del mismo software. NIVEL9 nació como un proyecto para apoyar al Instituto de Ciencias del Mar y...
    Downloads: 0 This Week
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  • 7
    The Edge Machine Learning library

    The Edge Machine Learning library

    Machine learning algorithms for edge devices

    Machine learning models for edge devices need to have a small footprint in terms of storage, prediction latency, and energy. One instance of where such models are desirable is resource-scarce devices and sensors in the Internet of Things (IoT) setting. Making real-time predictions locally on IoT devices without connecting to the cloud requires models that fit in a few kilobytes.These algorithms can train models for classical supervised learning problems with memory requirements that are...
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  • 8
    DarkForestGo

    DarkForestGo

    DarkForest, the Facebook Go engine

    darkforestGo is an early deep-reinforcement-learning Go engine that combined a convolutional policy/value network with Monte Carlo Tree Search (MCTS) to play the full 19×19 game at a strong amateur level. The system couples fast GPU policy inference with CPU or GPU-assisted tree search so priors from the network guide exploration while search refines local tactics. Training pipelines mix supervised learning from human professional games and self-play fine-tuning, allowing the model to learn opening patterns and endgame tactics beyond simple pattern libraries. ...
    Downloads: 1 This Week
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  • 9
    Batch File Artificial Intelligence

    Batch File Artificial Intelligence

    Chat bot and free roaming AI in batch

    Included in this project is a simple chat bot, a battle AI, and a swarm based free roaming AI.
    Downloads: 0 This Week
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  • 10
    EasyPR

    EasyPR

    An easy, flexible, and accurate plate recognition project

    EasyPR is an open-source license plate recognition system designed to detect and recognize vehicle license plates from images using computer vision and machine learning techniques. The project focuses primarily on recognizing Chinese license plates but also demonstrates general approaches to automatic number plate recognition systems. Built on top of the OpenCV computer vision library, EasyPR provides algorithms for detecting license plate regions in images, segmenting characters, and recognizing the characters through machine learning models. ...
    Downloads: 1 This Week
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  • 11
    This application allow user to predict dissolution profile of solid dispersion systems based on algorithms like symbolic regression, deep neural networks, random forests or generalized boosted models. Those techniques can be combined to create expert system. Application was created as a part of project K/DSC/004290 subsidy for young researchers from Polish Ministry of Higher Education.
    Downloads: 0 This Week
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  • 12
    Deep Learning with Keras and Tensorflow

    Deep Learning with Keras and Tensorflow

    Introduction to Deep Neural Networks with Keras and Tensorflow

    Introduction to Deep Neural Networks with Keras and Tensorflow. To date tensorflow comes in two different packages, namely tensorflow and tensorflow-gpu, whether you want to install the framework with CPU-only or GPU support, respectively. NVIDIA Drivers and CuDNN must be installed and configured before hand. Please refer to the official Tensorflow documentation for further details. Since version 0.9 Theano introduced the libgpuarray in the stable release (it was previously only available in...
    Downloads: 0 This Week
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  • 13
    Machine-Learning-Flappy-Bird

    Machine-Learning-Flappy-Bird

    Machine Learning for Flappy Bird using Neural Network

    Machine-Learning-Flappy-Bird is an educational machine learning project that demonstrates how an artificial intelligence agent can learn to play the Flappy Bird game using neural networks and evolutionary algorithms. The system simulates a population of birds that each possess their own neural network, which acts as a decision-making controller during gameplay.
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  • 14
    Clus
    Clus is an open source machine learning system that implements predictive clustering trees (PCTs) and predictive clustering rules (PCRs). PCTs generalize traditional classification and regression trees by altering the heuristic that is used to constr
    Downloads: 0 This Week
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  • 15
    DMTK

    DMTK

    Microsoft Distributed Machine Learning Toolkit

    The Microsoft Distributed Machine Learning Toolkit (DMTK) is an open-source framework created to support scalable machine learning across distributed computing environments. Developed by Microsoft Research, the toolkit provides infrastructure and algorithms designed to train large models efficiently on clusters of machines rather than a single system. At its core is a parameter-server architecture called Multiverso, which manages model parameters and synchronizes updates across distributed training processes. ...
    Downloads: 2 This Week
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  • 16
    MetExpert
    MetExpert is an expert system to assist users with limited expertise in informatics to interpret GCMS data for metabolite identification without querying spectral databases
    Downloads: 0 This Week
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  • 17
    Caffe2

    Caffe2

    Caffe2 is a lightweight, modular, and scalable deep learning framework

    Caffe2 is a lightweight, modular, and scalable deep learning framework. Building on the original Caffe, Caffe2 is designed with expression, speed, and modularity in mind. Caffe2 is a deep learning framework that provides an easy and straightforward way for you to experiment with deep learning and leverage community contributions of new models and algorithms. You can bring your creations to scale using the power of GPUs in the cloud or to the masses on mobile with Caffe2’s cross-platform...
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  • 18
    Bash Shell Scripting in a Minute

    Bash Shell Scripting in a Minute

    Learn Bash Shell Scripting in a Minute using this Collection of Script

    Learn Bash Shell Scripting in a Minute using this Collection of Scripts, which are Real World Examples, ranging from a simple Date Based Theme to a Standalone Kiosk Type User Input Forms. The Learning is based on a "Observe and Understand Strategy", which means you run these scripts, observe their outputs, understand the script that generates them and learn the whole thing. These Scripts cover almost all the basics of bash shell scripting and summarizes them in the last script for user...
    Downloads: 0 This Week
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  • 19
    libfastknn

    libfastknn

    Fast C++ KNN classifier

    KNN Classifier library for C++, at background using armadillo. In k-NN classification, the output is a class membership. An object is classified by a majority vote of its neighbors, with the object being assigned to the class most common among its k nearest neighbors (k is a positive integer, typically small). If k = 1, then the object is simply assigned to the class of that single nearest neighbor.
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  • 20
    GPU Machine Learning Library. This library aims to provide machine learning researchers and practitioners with a high performance library by taking advantage of the GPU enormous computational power. The library is developed in C++ and CUDA.
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  • 21
    The KReator project is a collection of software systems, tools, algorithms and data structures for logic-based knowledge representation. Currently, it includes the software systems KReator and MECore and the library Log4KR: - KReator is an integrated development environment (IDE) for relational probabilistic knowledge representation languages such as Bayesian Logic Programs (BLPs), Markov Logic Networks (MLNs), Relational Maximum Entropy (RME), First-Order Probabilistic...
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  • 22
    TensorFlow on Raspberry Pi

    TensorFlow on Raspberry Pi

    TensorFlow for Raspberry Pi

    TensorFlow on Raspberry Pi.
    Downloads: 0 This Week
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  • 23
    Neural Photo Editor

    Neural Photo Editor

    A simple interface for editing natural photos

    Neural Photo Editor is an experimental machine learning application that demonstrates how generative neural networks can be used as an interactive photo editing tool. The project implements the system described in the research paper Neural Photo Editing with Introspective Adversarial Networks, which introduces a generative model capable of modifying images in semantically meaningful ways.
    Downloads: 2 This Week
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  • 24
    H2O-3

    H2O-3

    H2O is an Open Source, Distributed, Fast & Scalable Machine Learning

    H2O-3 is an open-source machine learning platform designed to build scalable and distributed machine learning models across large datasets. The system operates as an in-memory computing platform that allows data scientists to train models quickly using distributed resources. It supports many machine learning algorithms including generalized linear models, gradient boosting machines, deep learning networks, and ensemble techniques.
    Downloads: 0 This Week
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  • 25
    Neuro

    Neuro

    The Neuro crypto currency

    ...At further stages of the work, we adapt the neural networks to calculate molecular interactions in protein environments. Our system will help to look for new types of drugs for cancer, Alzheimer's and other serious problems of modern medicine. We plan to make a serious contribution to the increase of human life expectancy.
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