Search Results for "learning" - Page 36
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Showing 1132 open source projects for "learning"
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Spock Example
Spock example specifications along with ready-to-go Gradle builds
...The examples show how to integrate Spock into typical Java/Groovy projects, how to run tests inside IDEs like Eclipse or IntelliJ, and how to align build scripts with Spock’s dependencies. It serves as a learning aid for developers new to Spock or wanting to adopt its expressive syntax in real-world projects. Because Spock has a lot of syntactic expressiveness and unique features (e.g. built-in data tables, concise mocking), seeing concrete samples is especially helpful. The project lowers the barrier to entry by giving readers a working, runnable baseline to experiment with. -
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Neural Libs
Neural network library for developers
This project includes the implementation of a neural network MLP, RBF, SOM and Hopfield networks in several popular programming languages. The project also includes examples of the use of neural networks as function approximation and time series prediction. Includes a special program makes it easy to test neural network based on training data and the optimization of the network. -
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Aspose for Visual Studio
This plugin is a great tool to quickly download and explore Aspose API
Aspose Visual Studio Plugin is a great tool to quickly download and explore Aspose .NET API examples. It saves lots of time and efforts by providing very simple option to seamlessly select, download and open the latest example projects without you ever having to leave your Visual Studio IDE. -
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High-order HMM in Matlab
Implementation of duration high-order hidden Markov model in Matlab.
Implementation of duration high-order hidden Markov model (DHO-HMM) in Matlab with application in speech recognition. -
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NeuroSolutions: Formula Generator
Utility converts the weights file of a MLP Breadboard into a formula
The NeuroSolutions: Formula Generator utility converts the weights file of a default MLP breadboard (1-hidden layer with a TanhAxon in the hidden layer and either a TanhAxon or BiasAxon in the output layer) into a usable formula that can be copied and pasted into your own programs to compute the output of the trained neural network. -
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libVMR
VMR - machine learning library
libVMR is a class library written in Java which implements code generator for group method of data handling - GMDH. The library is intended for users, with machine learning skills. libVMR provides an effective framework for the research and development of data mining and predictive analytics. libVMR is based on the most popular neural network model with a higher generalization ability from kernel tricks - vector machine by Reshetov (VMR). The library has been designed to learn from data sets. ... -
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ng-demos
Variety of angular demos
...The repository includes multiple demo projects that showcase different aspects of Angular development, such as component design, routing, data services, and state management. It is intended as a learning resource for developers who want to see practical implementations of concepts discussed in tutorials and style guides. The demos are structured to be easy to understand and experiment with, allowing developers to modify and extend the examples. The project also highlights real-world scenarios, helping users understand how Angular features are applied in production-like environments. ... -
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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. ... -
MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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Decision Tree
ID3-based implementation of the ML Decision Tree algorithm
DecisionTree is a Ruby library that implements decision tree learning with the ID3 information-gain algorithm. It can train models from discrete, continuous, or mixed attribute data. Continuous features are evaluated across possible split points to build threshold-based binary branches. Discrete models classify unique labels and can be rendered for visual inspection. The library supports inconsistent datasets, multiple or symbolic outputs, and fallback values when no branch matches an input. ... -
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Genetic Algorithms Engine - Blackjack
A genetic algortihm engine that evolves blackjack basic strategy.
This project is a genetic algorithm engine able to be reused for other projects with minimal additional programming. The genetic algorithm engine currently plays many blackjack hands for the fitness function and produces a result similar to blackjack basic strategy. To see it in action, download the zip file and run either: GABlackjack_Demo.exe (quick) or GABlackjack_Long.exe (slow, but it achieves better results). The code was written in C++, using MS Visual Studio 6.0... -
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Marsyas (Music Analysis, Retrieval and Synthesis for Audio Signals) is a framework for developing systems for audio processing. It provides an general architecture for connecting audio, soundfiles, signal processing blocks and machine learning. Source code at SF is outdated! Marsyas is now hosted at GitHub: https://github.com/marsyas/marsyas Downloads are now provided at Bintray: https://bintray.com/marsyas
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C/C++ Perceptron
A Perceptron library for C/C++
The library enables to create perceptrons with desired number of inputs and customized train rate. It enables to train the perceptrons according to the user input. Check the Wiki page for usage examples and API -
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CURRENNT
CUDA-enabled machine learning library for recurrent neural networks
CURRENNT is a machine learning library for Recurrent Neural Networks (RNNs) which uses NVIDIA graphics cards to accelerate the computations. The library implements uni- and bidirectional Long Short-Term Memory (LSTM) architectures and supports deep networks as well as very large data sets that do not fit into main memory. -
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SCORM (1.3) E-learning Development Tool
All you need to develop your e-learning courses!
This is a preconfigured VirtualBox Virtual Machine containing all you need to develop SCORM packages (1.3) for your e-learning courses. Using a Java Wizard, it is possible to add your content to a preconfigured e-learning course and export it in SCORM 1.3 format. Moodle 2.7 LMS is included to test your SCORM packages. The preconfigured e-learning course uses HTML5 tags to allow learners to enjoy the course using mobile devices (smartphones, tablets). -
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musicinformationretrieval.com
Instructional notebooks on music information retrieval
musicinformationretrieval.com is a collection of instructional materials for music information retrieval (MIR). These materials contain a mix of casual conversation, technical discussion, and Python code. These pages, including the one you're reading, are authored using Colab notebooks. -
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Java Machine Learning Library is a library of machine learning algorithms and related datasets. Machine learning techniques include: clustering, classification, feature selection, regression, data pre-processing, ensemble learning, voting, ...
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BudgetedSVM
BudgetedSVM: A C++ Toolbox for Large-scale, Non-linear Classification
We present BudgetedSVM, a C++ toolbox containing highly optimized implementations of three recently proposed algorithms for scalable training of Support Vector Machine (SVM) approximators: Adaptive Multi-hyperplane Machines (AMM), Budgeted Stochastic Gradient Descent (BSGD), and Low-rank Linearization SVM (LLSVM). BudgetedSVM trains models with accuracy comparable to LibSVM in time comparable to LibLinear, as it allows solving highly non-linear classi fication problems with millions of... -
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MarketSim
A python based auction market simulator for agricultural trade
The market assumes an environment in which farmers sell their produce through brokers and traders locate produce to buy through brokers. The major aim of the simulator is to experiment with various reputation mechanisms to manage bottlenecks and to model various adversarial scenarios. The market is aimed to simulate agricultural trade in developing countries. It is written in python and mysql database on Linux. -
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kuzya
Simple crossplatform IDE for people who study programming
Kuzya is simple crossplatform IDE for people who study programming. Main idea of it is to concentrate attention of the users only on learning the programming language but not on usage of IDE. -
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PyVision Computer Vision Toolkit
A Python computer vision library
PyVision is a object-oriented Computer Vision Toolkit for researchers that contains vision and machine learning algorithms and algorithm analysis and easily interfaces with scipy/numpy, PIL, opencv and other computer and machine learning libraries. -
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Flamingo Project
Workflow Designer, Hive Editor, Pig Editor, File System Browser
Flamingo is a open-source Big Data Platform that combine a Ajax Rich Web Interface + Workflow Engine + Workflow Designer + MapReduce + Hive Editor + Pig Editor. 1. Easy Tool for big data 2. Use comfortable in Hadoop EcoSystem projects 3. Based GPL V3 License Supporting Pig IDE, Hive IDE, HDFS Browser, Scheduler, Hadoop Job Monitoring, Workflow Engine, Workflow Designer, MapReduce. -
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CLUE - C Learning Undergrad Environment
Tools to support the learning of the C programming language
CLUE (C Learning Undergraduate Environment) is a software allowing students to work on assignments in the C language while benefiting from support for peer testing, hyper-linked tutorials to help them understand compiler error messages, detection of "novice errors" with warnings hyper-linked to tutorials. Sponsored by National Science Foundation under award CCLI #0836863. -
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ezOptionParser
C++ command-line option parser.
It's another command-line parser class for C++ that has features not available in alternative solutions (getopt, boost, argtable, argstream, gflags) and doesn't require a steep learning curve. It uses only a single header file, allows arbitrary option flag names, arbitrary argument list delimiters, flag and flagless argument grouping, expected argument list length validation and conversion, validation of options by datatype ranges or user range or sets, saving and loading options file with comments embedded. -
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