Search Results for "learning classifier system" - Page 21

Showing 913 open source projects for "learning classifier system"

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  • 1
    Al-Quran

    Al-Quran

    Education Religion Of Islam

    This version of the Qur'an is easy to read with Ottoman custom, there is no translation into any language other than the actual Arabic language, suitable as a learning for anyone who understands it.
    Downloads: 2 This Week
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  • 2
    gradslam

    gradslam

    gradslam is an open source differentiable dense SLAM library

    ...Leveraging the automatic differentiation capabilities of computational graphs, gradSLAM enables the design of SLAM systems that allow for gradient-based learning across each of their components, or the system as a whole.
    Downloads: 0 This Week
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  • 3
    NLP.js

    NLP.js

    An NLP library for building bots

    NLP.js is an NLP library for building bots, with entity extraction, sentiment analysis, automatic language identifier, and much more. "NLP.js" is a general natural language utility for nodejs. Search the best substring of a string with less Levenshtein distance to a given pattern. Get stemmers and tokenizers for several languages. Sentiment Analysis for phrases (with negation support). Named Entity Recognition and management, multi-language support, and acceptance of similar strings, so the...
    Downloads: 0 This Week
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  • 4
    OpenPose

    OpenPose

    Real-time multi-person keypoint detection library for body, face, etc.

    OpenPose has represented the first real-time multi-person system to jointly detect human body, hand, facial, and foot keypoints (in total 135 keypoints) on single images. It is authored by Ginés Hidalgo, Zhe Cao, Tomas Simon, Shih-En Wei, Yaadhav Raaj, Hanbyul Joo, and Yaser Sheikh. It is maintained by Ginés Hidalgo and Yaadhav Raaj. OpenPose would not be possible without the CMU Panoptic Studio dataset. We would also like to thank all the people who has helped OpenPose in any way. 15, 18 or...
    Downloads: 31 This Week
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    Robust Tube MPC

    Robust Tube MPC

    Example implementation for robust model predictive control using tube

    robust-tube-mpc is a MATLAB implementation of robust tube-based Model Predictive Control (MPC). The framework provides tools to design and simulate controllers that maintain stability and constraint satisfaction in the presence of bounded disturbances. Tube-based MPC achieves robustness by combining a nominal trajectory planner with an error feedback controller that keeps the actual system state within a "tube" around the nominal trajectory. This repository includes example scripts and...
    Downloads: 0 This Week
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  • 6
    Dysgu
    Dysgu presents an innovative approach to out-of-class activities by combining multiple dimensions of best practices from different spectrum of student learning into a coherent idea and delivering such activities with personalization and adaptation. The goal of the Dysgu system is to study the impact of frequent out-of-class activities on student learning and engagement where the activities are interactive in nature, smaller with scaffolding support, personalized and delivered via a mobile platform.
    Downloads: 0 This Week
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  • 7
    Geroes is a deep learning-based system dedicated to evaluating gene contribution in defining tissue specificity.
    Downloads: 0 This Week
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  • 8
    CNN Explainer

    CNN Explainer

    Learning Convolutional Neural Networks with Interactive Visualization

    In machine learning, a classifier assigns a class label to a data point. For example, an image classifier produces a class label (e.g, bird, plane) for what objects exist within an image. A convolutional neural network, or CNN for short, is a type of classifier, which excels at solving this problem! A CNN is a neural network: an algorithm used to recognize patterns in data.
    Downloads: 0 This Week
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  • 9
    NoisePage

    NoisePage

    Self-Driving Database Management System

    NoisePage is a relational database management system (DBMS) designed from the ground up for autonomous deployment. It uses integrated machine learning components to control its configuration, optimization, and tuning. The system will support automated physical database design (e.g., indexes, materialized views, sharding), knob configuration tuning, SQL tuning, and hardware capacity/scaling.
    Downloads: 0 This Week
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  • 10
    Piano Booster

    Piano Booster

    Boost your Piano playing skills

    A MIDI file player that teaches you how to play the piano. PianoBooster is a fun way of playing along with a musical accompaniment and at the same time learning the basics of reading musical notation. see: https://www.pianobooster.org/
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    Downloads: 205 This Week
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  • 11
    pico

    pico

    A Git-driven task runner built to facilitate GitOps and Infrastructure

    ...What once was a place to chat and collaborate with people across the planet is now a platform for the commercialization of products and services. At the seat of the modern web is the browser. The modern browser is very much like an operating system, both in terms of complexity and code size. Only massive corporations can build and maintain it. Further, the web breeds platforms that exploit your reward and learning centers in order to increase "engagement." We have no issue with the commercialization of the web -- that's how useful services exist. However, we are more aligned with products and services that promote human communication and collaboration in its purest forms. ...
    Downloads: 0 This Week
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  • 12
    surpriver

    surpriver

    Find big moving stocks before they move using machine learning

    surpriver is a machine learning project designed to identify unusual stock market activity that may precede large price movements. The system analyzes historical stock price and volume data to detect anomalies that could indicate potential trading opportunities. By applying machine learning techniques to market indicators, the tool attempts to identify patterns in trading behavior that deviate significantly from normal market activity.
    Downloads: 0 This Week
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  • 13
    Multilingual Speech Synthesis

    Multilingual Speech Synthesis

    An implementation of Tacotron 2 that supports multilingual experiments

    ...We provide data for comparison of three multilingual text-to-speech models. The first shares the whole encoder and uses an adversarial classifier to remove speaker-dependent information from the encoder. The second has separate encoders for each language.
    Downloads: 1 This Week
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  • 14
    Lita

    Lita

    A robot companion for your company's chat room

    Lita is a chat bot written in Ruby that brings more fun and efficiency to your favorite chat service. Through its plugin system, Lita can be connected to different chat services and display new behavior preferred by those who use it. It's ideal for businesses that want a chat service that is not only efficient, but friendly and personalized as well. Lita can become your very own robot companion, tailor-made for your business. Lita can be customized according to your company's culture and...
    Downloads: 0 This Week
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  • 15
    DeepCluster

    DeepCluster

    Deep Clustering for Unsupervised Learning of Visual Features

    DeepCluster is a classic self-supervised clustering-based representation learning algorithm that iteratively groups image features and uses the cluster assignments as pseudo-labels to train the network. In each round, features produced by the network are clustered (e.g. k-means), and the cluster IDs become supervision targets in the next epoch, encouraging the model to refine its representation to better separate semantic groups. This alternating “cluster & train” scheme helps the model...
    Downloads: 0 This Week
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  • 16
    Age and Gender Estimation

    Age and Gender Estimation

    Keras implementation of a CNN network for age and gender estimation

    Keras implementation of a CNN network for age and gender estimation. This is a Keras implementation of a CNN for estimating age and gender from a face image [1, 2]. In training, the IMDB-WIKI dataset is used. Because the face images in the UTKFace dataset is tightly cropped (there is no margin around the face region), faces should also be cropped in demo.py if weights trained by the UTKFace dataset is used. Please set the margin argument to 0 for tight cropping. You can evaluate a trained...
    Downloads: 1 This Week
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  • 17
    Kore

    Kore

    Scalable and secure web application framework

    Kore is a web application platform for writing scalable, concurrent web-based processes in C or Python. It is built with a "secure by default" approach. It is fully privileged separated while using strong security features at the operating system level such as second, pledge, unveil, and more. Today Kore is used in a variety of applications ranging from high assurance cryptographic military devices, machine-learning stacks and even in the aerospace industry. From embedded platforms all the way to high-performance servers. Kore scales. Kore is open source software licensed under the ISC license and developed in my spare time. ...
    Downloads: 1 This Week
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  • 18
    Euler

    Euler

    A distributed graph deep learning framework.

    As a general data structure with strong expressive ability, graphs can be used to describe many problems in the real world, such as user networks in social scenarios, user and commodity networks in e-commerce scenarios, communication networks in telecom scenarios, and transaction networks in financial scenarios. and drug molecule networks in medical scenarios, etc. Data in the fields of text, speech, and images is easier to process into a grid-like type of Euclidean space, which is suitable for processing by existing deep learning models. Graph is a data type in non-Euclidean space and cannot be directly applied to existing methods, requiring a specially designed graph neural network system. Graph-based learning methods such as graph neural networks combine end-to-end learning with inductive reasoning, and are expected to solve a series of problems such as relational reasoning and interpretability that deep learning cannot handle.
    Downloads: 1 This Week
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  • 19

    intelligent thinking system solving

    An approach where computer solves problems like a human brain does;

    The intelligent, thinking systems solving project uses a method whereby the computer solves the problem in a way a biological way does. The result of this is that it can learn and emulate a behavior or strategy. Two examples of the process use the game of chess and the game of go.
    Downloads: 0 This Week
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  • 20
    vue-element-admin

    vue-element-admin

    A magical vue admin

    vue-element-admin is a production-ready front-end solution for admin interfaces. It is based on value and uses the UI Toolkit element-ui. vue-element-admin is based on the newest development stack of vue and it has a built-in i18n solution, typical templates for enterprise applications, and lots of awesome features. It helps you build large and complex Single-Page Applications. I believe whatever your needs are, this project will help you. You need to install node and git locally. The...
    Downloads: 0 This Week
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  • 21
    VoTT

    VoTT

    Visual Object Tagging Tool, an electron app for building models

    Visual Object Tagging Tool: An electron app for building end-to-end Object Detection Models from Images and Videos. An open source annotation and labeling tool for image and video assets. VoTT is a React + Redux Web application, written in TypeScript. This project was bootstrapped with Create React App. VoTT can be installed as a native application or run from source. VoTT is also available as a stand-alone Web application and can be used in any modern Web browser. VoTT is available for...
    Downloads: 3 This Week
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  • 22
    ENAS in PyTorch

    ENAS in PyTorch

    PyTorch implementation of "Efficient Neural Architecture Search

    ENAS in PyTorch is a PyTorch implementation of Efficient Neural Architecture Search (ENAS), a method that automates the design of neural network architectures through reinforcement learning and parameter sharing. The repository demonstrates how a controller network can explore a large search space and discover high-performing architectures while dramatically reducing the computational cost traditionally associated with neural architecture search. It is primarily intended as a research and...
    Downloads: 0 This Week
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  • 23
    fastText

    fastText

    Library for fast text classification and representation

    ...Models can later be reduced in size to even fit on mobile devices. ext classification is a core problem to many applications, like spam detection, sentiment analysis or smart replies. In this tutorial, we describe how to build a text classifier with the fastText tool. The goal of text classification is to assign documents (such as emails, posts, text messages, product reviews, etc...) to one or multiple categories. Such categories can be review scores, spam v.s. non-spam, or the language in which the document was typed. Nowadays, the dominant approach to build such classifiers is machine learning, that is learning classification rules from examples. ...
    Downloads: 0 This Week
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  • 24
    Albedo

    Albedo

    A recommender system for discovering GitHub repos

    Albedo is an open-source recommender system aimed at helping developers discover GitHub repositories by learning from activity signals. It treats repositories and developers as a graph of interactions and applies large-scale matrix factorization to model affinities, with Apache Spark providing the distributed data processing. The project focuses on implicit feedback—stars, watches, and other engagement metrics—so it can build useful recommendations without explicit ratings. ...
    Downloads: 0 This Week
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  • 25
    ModelDB

    ModelDB

    Open Source ML Model Versioning, Metadata, and Experiment Management

    An open-source system for Machine Learning model versioning, metadata, and experiment management. ModelDB is an open-source system to version machine learning models including their ingredients code, data, config, and environment and to track ML metadata across the model lifecycle.
    Downloads: 0 This Week
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