Search Results for "dynamicreports-examples"
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Showing 19 open source projects for "dynamicreports-examples"
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OpenSIMPLY
Discrete-event simulation modeling software for science and education
OpenSIMPLY is an open source project for simulation modeling in Delphi, Lazarus, Free Pascal. Download OpenSIMPLY at opensimply.org The project is free computer simulation software based on discrete-event approach. OpenSIMPLY is a science software with very high simulation performance. So, the simulation results can be obtained much faster. The project is suitable for people with any modeling experience, and can be used for both science and education. Some application... -
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Fuzzy machine learning framework
A library and a GUI front-end for fuzzy machine learning
...Further characteristics are fuzzy features and classes; numeric, enumeration features and features based on linguistic variables; user-defined features; derived and evaluated features; classifiers as features for building hierarchical systems; automatic refinement in case of dependent features; incremental learning; fuzzy control language support; object-oriented software design with extensible objects and automatic garbage collection; generic data base support through ODBC or SQLite; text I/O and HTML output; an advanced graphical user interface based on GTK+; and examples of use. -
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JSONLab
JSONLab: compact, portable, robust JSON/binary-JSON encoder
JSONLab is a free and open-source JSON/UBJSON/MessagePack encoder and decoder written in the native MATLAB language. It can be used to convert a MATLAB data structure (array, struct, cell, struct array, cell array, and objects) into JSON/UBJSON/MessagePack formatted strings and files, or to parse a JSON/UBJSON/MessagePack file into MATLAB data structure. JSONLab supports nearly all versions of MATLAB and GNU Octave (a free MATLAB clone). The development of JSONLab is currently funded by the... -
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CiteSpace
A widely used tool for visual exploration of scientific literature.
...CiteSpace can be applied repeatedly so as to track the development of a field closely and extensively. The e-book How to Use CiteSpace explains the design principles and functions along with illustrative examples in more detail: https://leanpub.com/howtousecitespace -
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PRIMA
PRIMA is a package for solving general nonlinear optimization problems
PRIMA is a package for solving general nonlinear optimization problems without using derivatives. It provides the reference implementation for Powell's derivative-free optimization methods, i.e., COBYLA, UOBYQA, NEWUOA, BOBYQA, and LINCOA. PRIMA means Reference Implementation for Powell's methods with Modernization and Amelioration, P for Powell. PRIMA is a package for solving general nonlinear optimization problems without using derivatives. It provides the reference implementation for... -
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Lucid
A collection of infrastructure and tools for research
...You will need to run a local instance of the Jupyter notebook environment to execute them. Feature visualization answers questions about what a network, or parts of a network, are looking for by generating examples. -
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PS-Drone
Programming a Parrot AR.Drone 2.0 with Python - The Easy Way
...Obviously, the PS-Drone is perfect for teaching purposes; however, even the requirements for professional purposes can be satisfied. PS-Drone comes with a tutorial, explaining its most important commands and the drone's most important sensor values. The examples are easy to understand for people with little programming experience. A full list of commands and a description of all sensor data is available in a detailed documentation. It took several months to create PS-Drone, so it would be nice to get some donations for further development (e.g. Parrot's Bebop) and as a appreciation. -
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Python/FEniCS Examples
phase-field simulation and other examples with Python/FEniCS
...The problem was based in the grand potential-based model of Zijian Hong and Venkatasubramanian Viswanathan (https://doi.org/10.1021/acsenergylett.8b01009) . Some simpler examples were developed before for a first approach with FEniCS: heat equation and combustion model. -
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DeepMind Lab
A customizable 3D platform for agent-based AI research
...To enable compiler optimizations, pass the flag --compilation_mode=opt, or -c opt for short, to each bazel build, bazel test and bazel run command. The flag is omitted from the examples here for brevity, but it should be used for real training and evaluation where performance matters. DeepMind Lab ships with an example random agent in python/random_agent.py which can be used as a starting point for implementing a learning agent. -
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Pydicom by examples
Basic and intermediate examples of DICOM library with Jupyter
Basic and intermediate examples to read, modify and write DICOM files with Python code using Jupyter - To install Jupyter - https://jupyter.org/install ====== All examples are based on Pydicom. An open source library - https://pydicom.github.io/ -
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Deep Learning for Medical Applications
Deep Learning Papers on Medical Image Analysis
Deep-Learning-for-Medical-Applications is a repository that compiles deep learning methods, code implementations, and examples applied to medical imaging and healthcare data. The project addresses domain-specific challenges like segmentation, classification, detection, and multimodal data (e.g. MRI, CT, X-ray) using state-of-the-art architectures (e.g. U-Net, ResNet, GAN variants) tailored to medical constraints (small datasets, annotation costs, class imbalance). -
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Computer Glossary
is a rich dictionary containing multiple computer-related terms
...The program comes with a simple interface and lets you easily search any term. The results will let you see the word's definition, references to other related terms in the dictionary, examples, and the source of the information. -
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DL For Monaural Source Separation
Deep Recurrent Neural Networks for Source Separation
Deep Recurrent Neural Networks for Source Separation. -
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S-Match
S-Match is a semantic matching framework.
S-Match is a semantic matching framework. S-Match takes any two tree like structures (such as database schemas, classifications, lightweight ontologies) and returns a set of correspondences between those tree nodes which semantically correspond to one another. S-Match contains implementations of the semantic matching, minimal semantic matching and structure preserving semantic matching algorithms. S-Match applies as a solution in many fields, including: information integration,... -
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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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VisualRiSC
Toolbox visualizing computations of Realizable Sign Conditions.
...VisualRiSC provides implementations of such notions and functions using the Python package SymPy, on the one hand, and an interface to Gnuplot in order for a visualization of examples using the Python package Gnuplot.py. -
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cvsba
OpenCV wrapper for sba library
...The main features are: - Based on sba-1.6, one of the most popular and robust bundle adjustment implementation, which is extensively used and tested by the community - sba installation is not needed since it is included in cvsba - New CMake structure which makes the library compilation, installation and linkage easier - Similar interface than Bundle Adjustment implementation on cv::LevMarqSparse::bundleAdjust() - Include examples to test the library on synthetically generated data - GPL licence -
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Path Partitioner
Finds bad examples for the local search Path Partitioning algorithm
Path Partitioner constructs random graph partitions and solves the linear (or integer) programming problems that assign weights to the edges such that the performance ratio of the local search algorithm for the Path Partitioning problem is minimized. See http://www.tau.ac.il/~ohadschn/Thesis/Partitioning.pdf. Requirements: Microsoft Automatic Graph Layout http://research.microsoft.com/en-us/projects/msagl/ Gurobi Optimizer http://www.gurobi.com/ Permutations, Combinations, and... -
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Centre d'informations (CI)
Not a search engine but navigation routes within a research domain.
The Centre d'Informations (CI) aim is to articulate and display whatever type of knowledge available on a given field (see screenshots examples for various fields). The software is built as a network of information articulated using concepts (figure). The website should not be understood as a conventional search engine but as different ways to navigate within this knowledge (information and concept) network. Each information is thoroughly formalized; the aim is not exhaustivity or information amount but rather information quality so as to ensure the best possible articulation within the existing network (quality of the network) and ensure the subject diversity so as to cover the field with robustness.
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