Search Results for "programming learning system"

...Tensors are the core datastructure of TensorFlow.js They are a generalization of vectors and matrices to potentially higher dimensions. Built on top of TensorFlow.js, the ml5.js library provides access to machine learning algorithms and models in the browser with a concise, approachable API. Comfortable with concepts like Tensors, Layers, Optimizers and Loss Functions (or willing to get comfortable with them)? TensorFlow.js provides flexible building blocks for neural network programming in JavaScript.

The ECLiPSe Constraint Logic Programming System is designed for solving combinatorial optimization problems, for the development of new constraint solver technology and their hybrids, and for the teaching of modelling, solving and search techniques.

A component based programming framework. This project is aimed to support various target frameworks. A wxWidgets based GUI application is the major sample which also provides rapid database GUI design with UML import and export (db reverse engineering).

This repository contains a list of AutoML related models and libraries. Google Brain researchers have introduced a new way of programming automated machine learning (AutoML) based on symbolic programming. The researchers also proposed PyGlove, a general symbolic programming library for Python, to implement the symbolic formulation of AutoML. AutoML, designed to fill the machine learning industry’s talent gap, is gaining traction among various organizations.

Pretty Damn Quick (PDQ) analytically solves queueing network models of computer and manufacturing systems, data networks, etc., written in conventional programming languages. Generic or customized reports of predicted performance measures are output.

...It is a testbed for fast experimentation and research with probabilistic models, ranging from classical hierarchical models on small data sets to complex deep probabilistic models on large data sets. Edward fuses three fields, Bayesian statistics and machine learning, deep learning, and probabilistic programming. Edward is built on TensorFlow. It enables features such as computational graphs, distributed training, CPU/GPU integration, automatic differentiation, and visualization with TensorBoard. Expectation-Maximization, pseudo-marginal and ABC methods, and message passing algorithms.

EasyCP is a modern, user-friendly C++ library that lets you use constraint programming in a very natural way, taking advantage of its expressive power. Just model and let the CSP (Constraint Satisfaction Problem) solver do the job !

...It allows designing an application using building blocks with well-defined inputs and outputs (aka software components). Using this well-defined modular approach, the application has a clear and explicit design which facilitates the development and maintenance of a software system. JLCF focuses on usability on a simple programming model and also provides advanced features such as interceptors, callbacks and dynamic component replacement.

SEvents is a System of Event programming with random factor designed to accept a script file and execute it with using extra modules. One module - one object, which relate on changing of some variables.

Pi combines a programming language (comparable to 'R') with an advanced GUI including 3D and 2D visualizations and a highly flexible interface to analyse, visualize and manipulate data. It is extendible by C++ librarys as well as by Pi-scripts

System Designer is a software framework for domain specific languages based on model-driven generative programming. DSPE is one of the development environment based on System Designer. Audio n-Genie is a specialization of DSPE for the audio domain.

MyBPMN is the free BPM(BPMN) Solution that will enable you to model, execute and improve your business processes through a graphic environment and without the need of programming.

The Introspector enables the programming tools that deal with source code such as the compiler to communicate in a standard and neutral manner reducing the accidental cost of programming. http://github.com/h4ck3rm1k3/

Framework for literate programming using XML written in C++. Boost, The STL and Patterns are used extensively. All platforms which support Boost will be supported.