Open Source Mac Research Software - Page 3
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Research Software for Mac
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Bibliograph
Open Source Online Bibliographic Data Management
Bibliograph is a powerful and intuitive open source web application for the collaborative collection, editing and publishing of bibliographic data such as a bibliographies, small library collections or shared research data. It features a modern user interface similar to a desktop application. -
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The BioloidNativeInterface is a C++ library to control bioloid/dynamixel modules including AX12, AXS1. It provides a parser for the bioloid protocoll and methods to read/write packets.
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Biomedical Information Management System (BIMS) is a modular multilayer object - oriented software architecture, which provides a flexible computational solution to capture and manage a heterogeneous biomedical data: textual and visual information.
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Bloom Filter Analysis UCSB130A
Supporting Code for Bloom Filter Analysis UCSB CMPSC 130A F22
The full code set that corresponds to "Bloom Filters: A Look into its Design and an Analysis of its Performance", written by David Jr Sim. Instructions on how to use it are included in this project. This paper is in correlation with the University of California, Santa Barbara, Computer Science Undergraduate. -
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Bracer
Repository has been moved to: http://dtitov.github.com/bracer
Java library for parsing and evaluating math expressions. Javadoc is available at http://bracer.sourceforge.net/javadoc/ P.S. This library depends on Apache Commons Math, so don't forget to include commons-math-2.2.jar to your project. -
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Brain Tokyo Workshop
Experiments and code from Google Brain’s Tokyo research workshop
The Brain Tokyo Workshop repository hosts a collection of research materials and experimental code developed by the Google Brain team based in Tokyo. It showcases a variety of cutting-edge projects in artificial intelligence, particularly in the areas of neuroevolution, reinforcement learning, and model interpretability. Each project explores innovative approaches to learning, prediction, and creativity in neural networks, often through unconventional or biologically inspired methods. The repository includes implementations, experimental data, and supporting research papers that accompany published studies. Notable works such as Weight Agnostic Neural Networks and Neuroevolution of Self-Interpretable Agents highlight the team’s exploration of how AI can learn more efficiently and transparently. Overall, this repository serves as an open research hub for sharing ideas and advancing the understanding of intelligent systems. -
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Calculates how much time and money you need to win in the lottery. It uses multiple gthreads and gtk2 to sort 1 to 50 numbers until the user wins. Asking for the cost and time beetwin games, it calculates if you or your grandchildren will be rich.
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That project aims at providing a clean API, and the corresponding C++ implementation, for choosing one item among a set of travel solutions, given demand-related characteristics (e.g., Willingness-To-Pay, preferred airline, preferred cabin, etc.).
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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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COVID-19 Scenarios
Models of COVID-19 outbreak trajectories and hospital demand
Models of COVID-19 outbreak trajectories and hospital demand. This tool is based on the SIR model (see about page for details) that simulates a COVID19 outbreak. The population is initially mostly susceptible (other than for initial cases). Individuals that recover from COVID19 are subsequently immune. Currently, the parameters of the model are not fit data but are simply defaults. These might fit better for some localities than others. In particular, the initial case counts are often only rough estimates. The primary purpose of the tool is to explore the dynamics of COVID19 cases and the associated strain on the health care system in the near future. The outbreak is influenced by infection control measures such as school closures, lock-down etc. The effect of such measures can be included in the simulation by adjusting the mitigation parameters. Analogously, you can explore the effect of isolation on specific age groups in the column "Isolated" in the table on severity assumptions. -
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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. We also have a Python version of Crowdsourcing Learning: CrowdwiseKit on GitHub (https://github.com/tssai-lab/CrowdwiseKit). -
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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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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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CoronaTracker
Coronavirus tracker app for iOS & macOS with maps & charts
Live data shows the most recent data, and updates automatically. Distribution map with two levels of details. Countries, when the user zooms out. Fewer details and reduced clutter. Cities, when the user zooms in. More details. Charts, current state chart for all countries (and cities). Timeline chart for all countries (and cities). Top affected countries chart with info about every country. Daily new cases shows how fast the virus is spreading in a given country. Cases since the 100th case how fast the virus is spreading in different countries. Option for using a logarithmic scale. Search for countries & cities. Share stats & charts as images. Today widget for worldwide stats. Red color scale reflects the number of confirmed cases. In addition to increasing circle size. Statistics, including the number of confirmed, recovered, and deaths, in addition to percents. iPad & macOS support. -
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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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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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DBNL
Dynamic Bayesian Network Library
DBNL is a cross-platform library that offers a variety of implementations of Bayesian networks and machine learning algorithms. It is a flexible library that covers all aspects of Bayesian netwoks from representation to reasoning and learning. It allows you to create simple static networks as well as complex temporal models with changing structure. It can handle highly non-linear dependencies between multivariate random variables. The particle based inference can answer arbitrary questions given the provided evidence and can even cope with multimodal densities. The library supports the most common types of densities and conditional densities, like uniform or normal densities and facilitates user defined density functions. To enable easy use the library is taking account of modern development techniques like policy based design and template programming. All these properties make it applicaple for a wide range of applications. -
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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.
