Open Source Python Scientific/Engineering Software - Page 31

A Calculator for Geometry purposes, has commons functions.

Software written in Python to take oscilloscope data for a data transmit channel and a data clock as inputs, and output an eye diagram. The eye diagram helps evaluate the quality of the transmit data.

Data file transpose script in python.

*** Required files from "Excel COM API for Python" project *** The scripts allows post processing of data saved in CSV format from "Detail - Transposed" view of ADE-XL

DataPrep v0.2 is a Tkinter-based GUI application/tool designed to assist users in data preprocessing, multicollinearity removal, and feature selection for a wide range of applications in Cheminformatics, Bioinformatics, Data Analysis, Feature Selection, Molecular Modeling, Machine Learning, and Quantitative-structure-property relationship (QSPR) studies. It includes functionality to load, process, and save datasets with support for different preprocessing & multicollinearity removal strategies with customizable parameter setting options.

DeDAY (Demography Data Analyses) is a tool of analyzing demography data. It supports Gompertz, Weibull and Logistic distributions. DeDay also supports mixed mortality models based on these distribution such as the Gompertz-Makeham distribution. Distributions such as Gompertz describes only age-dependent mortality, which increases over time. Mixed mortality models, such as in Gompertz-Makeham distribution, consider a more general case where mortality is consist of both age-dependent and in-dependent mortality. Mixed models partition mortality into exogenous and endogenous components, so that the intrinsic survivorship can be estimated without the interference from extrinsic noise. DeDAY supports both interval-censored data and exact event-time data. Using MLE (Maximum Likelihood Estimate), DeDAY fits statistic model to the data. DeDAY also calculates the variances and the multi-dimensional confidence limits of model parameters. DeDAY is free for academic users.

dedalo is a 2d cad drawing software written in python3. It is licensed under the GPLv3. Dedalo features: layers, snaps (endpoint, intersection, midpoint), line, polyline, rectangle, delete, polygon, rectangle, arc, circle, points, text, spline, freehand drawing. Move, scale, rotate, offset, cut, extend, hatch, dimension, copy. English, italian languages SVG read-write. Not all features all fully supported. For more information a user manual is provided(pdf format, italian).

DeepChem aims to provide a high-quality open-source toolchain that democratizes the use of deep learning in drug discovery, materials science, quantum chemistry, and biology. DeepChem currently supports Python 3.7 through 3.9 and requires these packages on any condition. DeepChem has a number of "soft" requirements. If you face some errors like ImportError: This class requires XXXX, you may need to install some packages. Deepchem provides support for TensorFlow, PyTorch, JAX and each requires an individual pip Installation. The DeepChem project maintains an extensive collection of tutorials. All tutorials are designed to be run on Google collab (or locally if you prefer). Tutorials are arranged in a suggested learning sequence that will take you from beginner to proficient at molecular machine learning and computational biology more broadly.

DeepXDE is a library for scientific machine learning and physics-informed learning. DeepXDE includes the following algorithms. Physics-informed neural network (PINN). Solving different problems. Solving forward/inverse ordinary/partial differential equations (ODEs/PDEs) [SIAM Rev.] Solving forward/inverse integro-differential equations (IDEs) [SIAM Rev.] fPINN: solving forward/inverse fractional PDEs (fPDEs) [SIAM J. Sci. Comput.] NN-arbitrary polynomial chaos (NN-aPC): solving forward/inverse stochastic PDEs (sPDEs) [J. Comput. Phys.] PINN with hard constraints (hPINN): solving inverse design/topology optimization [SIAM J. Sci. Comput.] Residual-based adaptive sampling [SIAM Rev., arXiv] Gradient-enhanced PINN (gPINN) [Comput. Methods Appl. Mech. Eng.] PINN with multi-scale Fourier features [Comput. Methods Appl. Mech. Eng.]

Dent-Inn es una aplicación de gestión para clínicas dentales. Almacena los datos de los pacientes, dentigramas, citas y tratamientos, presupuestos, radiografías, informes, etc.

DesktopTools is a collection of small utillities which help to make your daily life easier. Since the tools themself are rather small (projectwise) I keep them not as individual projects, but have them under this collective name.

A client program compatible with the INDI standard (see http://indi.sourceforge.net) for remote telescope and device control. It works under Windows as well as Linux. It is writen in Python and uses the GTK in order to display the GUI.

Design for Six Sigma Toolbox - based on Scientific Python and Symbolic Python

DiagSim is a collection of Python modules for simulating beam diagnostics in particle accelerators, at the moment only cavity BPMs, with other types of BPMs and other diagnostics to follow. Or so we think. Anyway, we use beam data exported from beam trackers, trace the signals through the diagnostics and processing, so that they can be processed as real data, and the input and measured beam parameters can be compared.

Diffusion of Innovations Simulation

A Python package that provides classes and tools for dealing with dimensional quantities. Includes a parser for the quantity language (i.e. calculates "3 meters per second in miles per hour") and a class for constructing matrices containing dimensions.

Dimenso is a library of numeric types for .Net and Java, that obey dimensional analysis and permit calculations with physical quantities. Due to the lack of C++ - like templates with numeric arguments, code generation is employed using Python.

Accompanying software for the paper "Optimal Decision Rules for the Discursive Dilemma", by A. Alabert, M. Farré and R. Montes (https://arxiv.org/abs/2210.13100). Computes a ranking of the best decision rules according to a quantitative criterion based on the minimisation of the combined probabilities of false positives and false negatives

Disease Gene Profiler (DGP) comprises of a set of (bioinformatics) tools that can be used to identify the genes underlying susceptibility to common multifactorial diseases (such as diabetes, asthma and cancer) using freely available datasources.

Disloki is a modified version of Loki (loki.homeunix.net) which works as a Boinc application. The project also contains support programs to create and maintain a Loki based boinc project.

BTK contains C++ and Python libraries that implement speech processing and microphone array techniques such as speech feature extraction, speech enhancement, speaker tracking, beamforming, dereverberation and echo cancellation algorithms. The Millennium ASR provides C++ and python libraries for automatic speech recognition. The Millennium ASR implements a weighted finite state transducer (WFST) decoder, training and adaptation methods. These toolkits are meant for facilitating research and development of automatic distant speech recognition.

A project to distributed phylogenies into a MPI Cluster.

Distributions Networks Analyzer (DNA) is a tool for simulating (power flow) and analyzing electrical distribution networks. Users can easily implement and test their own power flow, optimal power flow and control algorithms.

The Diversity Engine provides tools to create diversity-aware multimedia search applications.