Search Results for "gamma"
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Showing 18 open source projects for "gamma"
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Virtual-HDR-OSD-for-Windows-11
Virtual OSD for performing a pseudo-calibration in HDR mode
Virtual HDR OSD for Windows 11 is a lightweight Windows 11 HDR profile editor designed as a software counterpart to the controls that many monitors disable when HDR mode is enabled. -
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GeigerLog
Python program for Geiger counters and Environmental Sensors
...Initially developed for Geiger counters, it is now a more universal tool, which equally well handles data like temperature, air-pressure, humidity, CO2. Continues to support Geiger counters like GQ Electronic's GMC-300/500/600 , RadMon, RadPro, Gamma-Scout, audio-click and other low-cost Geiger counters, IoT devices, I2C based sensors, GQ EMF devices. GeigerLog reads data from devices, saves them to databases, prints to screen and plots as auto-updated, customizable graphs. Quality control using Statistics, Scatter, Poisson, FFT & Autocorrelation, and more. Gamma Spectra - can be displayed, calibrated, and evaluated in GeigerLog! ... -
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ESRM
Un "Screen Recorder" codificado 100% con AI, escrito en python.
🎥 Effect Screen Recorder Master (ESRM) ESRM es un programa para grabación de pantalla con efectos visuales en tiempo real, hecho 100% con chat GPT, está escrito en python y con interfaz gráfica en Custom Tkinter, se usa FFMPEG para realizar las grabaciones (en cualquier caso, debe instalar FFMPEG y añadirlo al PATH). Está escrito en python v3.12.8, pero está disponible desde las 3.11.6 y superiores. Usa CustomTkinter para una interfaz moderna y ffmpeg para realizar las grabaciones en... -
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pomegranate
Fast, flexible and easy to use probabilistic modelling in Python
pomegranate is a library for probabilistic modeling defined by its modular implementation and treatment of all models as the probability distributions they are. The modular implementation allows one to easily drop normal distributions into a mixture model to create a Gaussian mixture model just as easily as dropping a gamma and a Poisson distribution into a mixture model to create a heterogeneous mixture. But that's not all! Because each model is treated as a probability distribution, Bayesian networks can be dropped into a mixture just as easily as a normal distribution, and hidden Markov models can be dropped into Bayes classifiers to make a classifier over sequences. ... -
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Recurrent Interface Network (RIN)
Implementation of Recurrent Interface Network (RIN)
Implementation of Recurrent Interface Network (RIN), for highly efficient generation of images and video without cascading networks, in Pytorch. The author unawaredly reinvented the induced set-attention block from the set transformers paper. They also combine this with the self-conditioning technique from the Bit Diffusion paper, specifically for the latents. The last ingredient seems to be a new noise function based around the sigmoid, which the author claims is better than cosine... -
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Crystalsim - XRD hkl simulation
X-ray diffraction (XRD) analysis for hkl simulation of any crystal.
...Indexed at International Union of Crystallography (IUCR). Crystalline lattice parameters such as ‘a’, ‘b’, ‘c’ as well as interfacial angles such as alpha, beta, gamma can also be entered manually. Processed data can be saved as .csv file format. Designed by M Kanagasabapathy, Associate Professor, Department of Chemistry, Rajus' College, Affiliated to Madurai Kamaraj University Rajapalayam (TN) India email: rrcmks(at)gmail.com -
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distribution-is-all-you-need
The basic distribution probability Tutorial for Deep Learning Research
...It explains common discrete and continuous distributions through short scripts, formulas, descriptions, and plotted graphs. Covered topics include uniform, Bernoulli, binomial, categorical, multinomial, beta, Dirichlet, gamma, exponential, Gaussian, normal, chi-squared, and Student's t distributions. The material highlights relationships such as conjugate priors and special-case distributions. Examples connect probability functions with machine learning concepts including binary and multiclass cross-entropy. An overview image and presentation summarize the distribution families and their connections for quick reference. -
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Exposure
Learning infinite-resolution image processing with GAN and RL
...ACM Transactions on Graphics (presented at SIGGRAPH 2018) Exposure is originally designed for RAW photos, which assumes 12+ bit color depth and linear "RGB" color space (or whatever we get after demosaicing). jpg and png images typically have only 8-bit color depth (except 16-bit pngs) and the lack of information (dynamic range/activation resolution) may lead to suboptimal results such as posterization. Moreover, jpg and most pngs assume an sRGB color space, which contains a roughly 1/2.2 Gamma correction, making the data distribution different from training images (which are linear). Exposure is just a prototype (proof-of-concept) of our latest research, and there are definitely a lot of engineering efforts required to make it suitable for a real product. -
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LibNucNucGam
Nuclear collision secondary particle production cross sections.
This Python library contains the parametrization of the Nucleus-Nucleus pi-meson (including subthreshold pions) and the direct hard photon gamma-ray production cross sections channels for calculating the secondary gamma-ray and electron/positron spectra based on arXiv:1608.03348. Please, if you use this library DO NOT reference to this webpage, instead reference to arXiv:1608.03348, "Parametrization of the nucleus-nucleus gamma-ray production cross sections below 100 GeV/nucleon: Subthreshold pions and Hard photons" by Ervin Kafexhiu COMING SOON... -
MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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*WARNING* gtburst moved to github (https://github.com/giacomov/gtburst). ########################################## gtBurst is a tool to download data, analyze and simulate Gamma-ray Bursts and Solar Flares as observed by the NASA Fermi satellite.
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LibppGam
pp->gamma cross sections parametrization
This library contains the parametrization of pp->gamma cross section functions based on Phys.Rev. D90 (2014) 12, 123014 (astro-ph/1406.7369) work. The functions are written in Python, Fortran and Matlab. Please, if you use this library DO NOT reference to this webpage, instead reference to Phys.Rev. D90 (2014) 12, 123014 (astro-ph/1406.7369), "Parametrization of gamma-ray production cross-sections for pp interactions in a broad proton energy range from the kinematic threshold to PeV energies" by Ervin Kafexhiu, Felix Aharonian, Andrew M. ... -
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Please visit http://imgv.sf.net/ - IMGV is a cross-platform Image Viewer. Features include slideshows, exif viewing, histograms, gamma correction, adjustable thumbnails, playlists, website image extraction, multi-dir loading, movies, and much more.
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Oree - Optimum Real-time Estimation of Events of Interaction: real-time reconstruction of photon interaction events in Gamma Cameras. Optionally making use of a CUDA enable GPU, Oree achieves reconstruction of over 1M events/sec.
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FociCounter is a simple and user-friendly program for analysis of gamma-H2AX foci. It allows to determine the number of foci in a single cell, a foci intensity as well as a cell intensity.
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Alpha Beta Gamma is a top down scrolling space shooter inspired by Galaga. ABG is written in Python using PyGame.
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Open source development of a tool for the astronomy community to interact with the GRB Coordinates Network (GCN) broadcast of real-time gamma-ray burst (GRB) and X-ray Flash (XRF) information. Support for satellite packets: HETE-2, Integral, Swift
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This project is used to define monitor's gamma correction. It can define red, green and blue components separately by gamma ramp. Ramp is defined by brightness curve control points (number of control points is not limited)
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