Open Source Windows Research Software - Page 4
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C4 is a C++ class library for analyzing sound files, particularly spoken and sung phonations. C4 provides features such as frequency analysis, pitch extraction, or calculation of voice quality parameters (e.g. alpha ratio, HNR, jitter, etc.).
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This is a Content Based Image Retrieval Interface with only color features implemented. This is part of a thesis work to analyze the different color features and observe the performance on mainly corel5k images.
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Catalogue of Life Converter
MS Access database converts the Catalogue of Life into a gedcom format
The primary driver of speciation may result from hybridization instead of the accumulation of mutations. The accumulation of mutations may instead be responsible for a "maturation" which may have real physical meaning rather than being an amorphous concept. Scientists such as Donald Williamson and Lynn Margulis have suggested similar ideas but perhaps not going as far as this project assumes. This software converted the Catalogue of Life, catalogueoflife.org, into a gedcom format. It no longer works due to the Catalogue's database format change. This present project extends the gedcom format for use in systematics or species categorization. All named taxonomic levels are assumed to have originally been individual species and the software/database outputs all species as female until hybridization events can be added manually. This tool is used to develop the data at http://genealogyoflife.com. It converted the data from 1.2 million species to over 2 million gedcom females. -
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Catalyst
Accelerated deep learning R&D
Catalyst is a PyTorch framework for accelerated Deep Learning research and development. It allows you to write compact but full-featured Deep Learning pipelines with just a few lines of code. With Catalyst you get a full set of features including a training loop with metrics, model checkpointing and more, all without the boilerplate. Catalyst is focused on reproducibility, rapid experimentation, and codebase reuse so you can break the cycle of writing another regular train loop and make something totally new. Catalyst is compatible with Python 3.6+. PyTorch 1.1+, and has been tested on Ubuntu 16.04/18.04/20.04, macOS 10.15, Windows 10 and Windows Subsystem for Linux. It's part of the PyTorch Ecosystem, as well as the Catalyst Ecosystem which includes Alchemy (experiments logging & visualization) and Reaction (convenient deep learning models serving). -
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Ceka
Crowd Environment and its Knowledge Analysis
A knowledge analysis tool for crowdsourcing based on Weka. -
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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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Graphical editor using HTML5 canvas for input of chemical structures, molecule interactions, as well as protein sequence and 3D structural motifs. Facilitates searches in chemo-informatics, bioinformatics and structural biology .
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Chemin Optimal
allow to Find the optimal path using FORD algorithm
Chemin optimal allows to draw nodes on a scene and link them with Arcs. You can affect values to each arc (the path's length). By clicking the launch button, chemin optimal show you the optimal path of the graphs using FORD algorithm. All operations are shown step by step. You can export the scene to a XML file. You can also load scene freom existing XML file. Chemin optimal check errors automatically before finding the minimal path. Chemin optimal is written in JAVA( JAVAFX ). -
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The project contains a matlab package for generating poised lattices and coarse-fine interpolation matrices for high-order adaptive mesh refinement. It accompanies the paper by Qinghai Zhang submitted to Comput. Methods Appl. Mech. Engrg.
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Computer Glossary
is a rich dictionary containing multiple computer-related terms
Computer Glossary is a rich dictionary containing multiple computer-related terms, which is useful for both students and professionals. The program integrates an offline database and offers references and descriptions for each term. Computer Glossary can be installed in just a few simple steps and does not require special skills. 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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Conway's Game Of Life
A simple Java class for Conway's Game of Life
See http://en.wikipedia.org/wiki/Conway%27s_Game_of_Life for the rules of the game. -
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CvHMM
Discrete Hidden Markov Models based on OpenCV
This project (CvHMM) is an implementation of discrete Hidden Markov Models (HMM) based on OpenCV. It is simple to understand and simple to use. The Zip file contains one header for the implementation and one main.cpp file for a demonstration of how it works. Hope it becomes useful for your projects. -
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DASS-GUI is a graphical user interface for pattern search in non-sequential data.
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DATAONTO is a protege tab widget plugin that automatically builds domain ontlogies from relational database's metadata. once ontlogies are generated,this plugin can look for changes in database metadata and implement these changes in ontology.
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DIG
A library for graph deep learning research
The key difference with current graph deep learning libraries, such as PyTorch Geometric (PyG) and Deep Graph Library (DGL), is that, while PyG and DGL support basic graph deep learning operations, DIG provides a unified testbed for higher level, research-oriented graph deep learning tasks, such as graph generation, self-supervised learning, explainability, 3D graphs, and graph out-of-distribution. If you are working or plan to work on research in graph deep learning, DIG enables you to develop your own methods within our extensible framework, and compare with current baseline methods using common datasets and evaluation metrics without extra efforts. It includes unified implementations of data interfaces, common algorithms, and evaluation metrics for several advanced tasks. Our goal is to enable researchers to easily implement and benchmark algorithms. -
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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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DaNNet
Deep Artificial Neural Network framework using Armadillo
DaNNet is a C++ deep neural network library using the Armadillo library as a base. It is intended to be a small and easy to use framework with no other dependencies than Armadillo. It uses independent layer-wise optimization giving you full flexibility to train your network. -
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Damon is a Distributed AOP Middleware on top of a p2p Overlay Network. Its main aim is to offer the necessary abstractions and services to develop distributed aspects, and to provide scalability to existent or new applications transparently.
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Data Science at the Command Line
Data science at the command line
Command Line by Jeroen Janssens, published by O’Reilly Media in October 2021. Obtain, scrub, explore, and model data with Unix Power Tools. This repository contains the full text, data, and scripts used in the second edition of the book Data Science at the Command Line by Jeroen Janssens. This thoroughly revised guide demonstrates how the flexibility of the command line can help you become a more efficient and productive data scientist. You’ll learn how to combine small yet powerful command-line tools to quickly obtain, scrub, explore, and model your data. To get you started, author Jeroen Janssens provides a Docker image packed with over 100 Unix power tools, useful whether you work with Windows, macOS, or Linux. You’ll quickly discover why the command line is an agile, scalable, and extensible technology. Even if you’re comfortable processing data with Python or R, you’ll learn how to greatly improve your data science workflow by leveraging the command line’s power. -
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DeepSqueak
DeepSqueak Using Machine Vision to Accelerate Bioacoustics Research
Using Machine Vision to Accelerate Bioacoustics Research. -
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A framework for solving large systems of linear equations (Ax=b) in a distributed network using different iterative methods. The solver is written on Java, can be run on Windows or Linux. The solver is compatible with either MPICH2 or mpj-express.
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Dopamine
Framework for prototyping of reinforcement learning algorithms
Dopamine is a research framework for fast prototyping of reinforcement learning algorithms. It aims to fill the need for a small, easily grokked codebase in which users can freely experiment with wild ideas (speculative research). This first version focuses on supporting the state-of-the-art, single-GPU Rainbow agent (Hessel et al., 2018) applied to Atari 2600 game-playing (Bellemare et al., 2013). Specifically, our Rainbow agent implements the three components identified as most important by Hessel et al., n-step Bellman updates, prioritized experience replay, and distributional reinforcement learning. For completeness, we also provide an implementation of DQN (Mnih et al., 2015). For additional details, please see our documentation. We provide a set of Colaboratory notebooks which demonstrate how to use Dopamine. We provide a website which displays the learning curves for all the provided agents, on all the games. -
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EV3-JavaBrick
ROS node to control LEGO MINDSTORMS EV3
- Java SE 1.7 compatible - Can be run on both Windows/Linux PC - Can be run on Android devices(Tested on ASUS fonetab7, ASUS zenfone4, Samsung Galaxy S4) - Can be run on reflashed ARM-based AndroidTV sticks (Tested on MK808) - No custom firmware for EV3 brick - Supports about 15 EV3/NXT/HT sensors - Supports EV3 & NXT motors - Supports Android camera -
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Learning Arabic is not an easy thing. It doesn't help that there are not many resources available to learn for free. Looking around you can find software costing hundreds of dollars.EZ Arabic is an open source project with the missionary in mind.
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EasyCSP
Constraint Satisfaction Problem solving library for Java
EasyCSP is an open-source Java library for Constraint Satisfaction Programming. EasyCSP offers search algorithms for both CSPs and CSOPs. EasyCSP supports CSPs to be formalized using objects or int expressions. EasyCSP on GitHub: http://github.com/cordisvictor/easycsp-lib