Search Results for "fits" - Page 2
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Showing 48 open source projects for "fits"
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Autoplot
Autoplot is an interactive browser for data on the web
Autoplot is an interactive browser for data on the web. Give Autoplot a URL or local file name and it creates a sensible plot of the data. Autoplot allows you to interactively browse data stored in ascii, .cdf, netcdf, and many other formats. Autoplot's source has been moved to GitHub. Thanks to SourceForge for many years of hosting! -
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LX Linux
A light version of Debian with minimal installed using LXDE.
... - If brightness keys do not work, open a terminal: sudo nano /etc/default/grub where GRUB_CMDLINE_LINUX_DEFAULT="xxxxx" put acpi_backlight=video or acpi_backlight=vendor try one or another and test which one fits your machine Ctrl + s Ctrl + x sudo update-grub - Automatic login: Menu > Preferences > LXDM configurator mark "Automatic login" and close - Use Connman Settings to connect Wi-Fi -
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vahatraker
a live MIDI sequencer for JACK
...Adhering to Unix philosophy, driving MIDI is the one thing it tries to do well, adhering to other doctrines - enabling expression, with added value of: - live editing - fast workflow - intuitive midi-in - unheard of time signatures - scenes a'la 'ton - fractal turtles - fits on a floppy - doesn't make sound Frankly speaking, vht was envisaged as a re-creation of seq24 in tracker form for author's "studio needs" and offers similar functionality (and limitations). It relies 100% on JACK audio connection kit for input/output/synch and uses jack_capture for rendering. The GUI has similar dependencies as gnome-calculator and tracker paradigm was chosen to allow for rhythmic gymnastics otherwise hard to convey. ... -
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PyTorch Implementation of SDE Solvers
Differentiable SDE solvers with GPU support and efficient sensitivity
This library provides stochastic differential equation (SDE) solvers with GPU support and efficient backpropagation. examples/demo.ipynb gives a short guide on how to solve SDEs, including subtle points such as fixing the randomness in the solver and the choice of noise types. examples/latent_sde.py learns a latent stochastic differential equation, as in Section 5 of [1]. The example fits an SDE to data, whilst regularizing it to be like an Ornstein-Uhlenbeck prior process. The model can be loosely viewed as a variational autoencoder with its prior and approximate posterior being SDEs. The program outputs figures to the path specified by <TRAIN_DIR>. Training should stabilize after 500 iterations with the default hyperparameters. examples/sde_gan.py learns an SDE as a GAN, as in [2], [3]. ... -
Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
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smolOS
A tiny and simple research operating system
smolOS is a minimalist 16-bit operating system written in pure Assembly for x86 real mode. Its goal is to demonstrate the fundamentals of how an OS boots, handles input, and displays output using only the most essential code. smolOS fits in a single boot sector and runs directly on BIOS-compatible hardware or emulators like QEMU. It’s ideal for those seeking to understand bootloaders, BIOS interrupts, and ultra-low-level system programming through a practical and tiny project. -
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Gooey
Turn Python command line programs into a full GUI application
...Whether you've built your application in Java, Node, or Haskell, or you just want to put a pretty interface on an existing tool like FFMPEG, Gooey can be used to create a fast, practically free UI with just a little bit of Python (about 20 lines!). To show how this all fits together, and that it really works for anything, we're going to walk through building a graphical interface to one of my favorite tools of all time: FFMPEG. These steps apply to anything, though! You could swap out FFMPEG for a .jar you've written, or an arbitrary windows .exe, an OSX .app bundle, or anything on linux that's executable! ... -
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EH Forwarder Bot
An extensible message tunneling chat bot framework
...In short, if you are using the default configuration, you need to create ~/.ehforwarderbot, and give read and write permission to the user running EFB. Currently, all modules that was submitted to us are recorded in the modules repository. You can choose the channels that fits your need the best. When you have successfully installed the modules of your choices, you can the use the configuration wizard which guides you to enable channels and middlewares, and continue to setup those modules. -
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PYWAL
Generate and change color-schemes on the fly
...It also includes a set of predefined themes if you don’t want to generate from an image. Many users integrate PYWAL into their login or wallpaper-change workflows so the desktop “breathes” with whatever image they set. It’s lightweight, fast, and fits perfectly into the r/unixporn workflow of building cohesive, themed desktops. -
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...It is written in Python and can be executed from the command line. New release is version v0.5. Updated to be compatible with numpy version 1.12. New release is version v0.4. It's now compatible with astropy for fits I/O and computation time is reduced by a factor of 2.
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Stop Cyber Threats with VM-Series Next-Gen Firewall on AzureGain integrated visibility across all traffic in a single pass. Deploy Palo Alto Networks VM-Series to determine application identity and content while automating security policy updates via rich APIs.
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Retrieval-Based Conversational Model
Dual LSTM Encoder for Dialog Response Generation
Retrieval-Based Conversational Model in Tensorflow is a project implementing a retrieval-based conversational model using a dual LSTM encoder architecture in TensorFlow, illustrating how neural networks can be trained to select appropriate responses from a fixed set of candidate replies rather than generate them from scratch. The core idea is to embed both the conversation context and potential replies into vector representations, then score how well each candidate fits the current dialogue, choosing the best match accordingly. Designed to work with datasets like the Ubuntu Dialogue Corpus, this codebase includes data preparation, model training, and evaluation components for building and assessing dialog models that can handle multi-turn conversations. -
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Statuspage
A statuspage generator that lets you host your statuspage for free
...The system supports customization of styles, branding, and layout so organizations can match their public status presence to their product identity. Because it integrates tightly with GitHub tokens and repositories, statuspage fits naturally into DevOps pipelines that already rely on GitHub for incident tracking. Overall, the project provides a simple but powerful way to maintain public service transparency using existing developer tooling. -
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lxnstack
A program to align and stack astronomical images.
...) * Two automatic align method: align-points; phase correlation, * One manual align method. * sub-pixel precision (0.1 pixel for phase correlation and 0.01 pixel for manual alignment). * Automatic image derotation. * FITS file support (by installing the python2 package 'astropy') * Hot pixels suppression algorithm * CR2 files native support * Can load/save video * Grayscale RAW image support * Editing of result image's levels. * Light curve generation -
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DeDAY
MLE survival analysis: Gompertz, Weibull, Logistic and mixed morality.
...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. -
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Fitta is a program for making and plotting statistical fits, simple and weighted fit, high quality plots thanks to the matplotlib library
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APLpy (the Astronomical Plotting Library in Python) is a Python module aimed at producing publication-quality plots of astronomical imaging data in FITS format. Visit http://aplpy.sourceforge.net/ for tutorials and documentation.
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ATpy (Astronomical Tables in Python) is a Python module aimed at dealing with tables of astronomical data with a common API. To date, the following formats are supported: FITS, VO, and IPAC tables, and SQLite, MySQL, and PostgreSQL databases
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Python program for fitting rate constants to primarily kinetic data as 1st or 2nd order kinetics or autocatalysis. It also allows specific noise cancelling, data smoothing by fourrier transform, box averaging and flowing mean. For Python 2.6 or earlier.
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SME Server
The Koozali SME Server is a simple and robust server gateway for SOHO
...Its strengths are its ease to use for anyone able to use a web interface, and its robustness, giving the ability to recover its initial state even after any upgrade. The server is designed for Small Offices and Home Offices to act as a gateway with a firewall web and email services, but fits also home user needs or even the needs as a simple and robust server only in the cloud to host your website projects and emails. -
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GIRAFFE Data Reduction
GIRAFFE Data Reduction Software
GIRAFFE Base Line Data Reduction Software is a set of python scripts and modules and a C library to reduce FITS images produced by the Very Large Telescope (VLT) FLAMES instrument. -
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Automated supernova finder is a software package to automatically compare FITS images to a nominated reference image with the aim of finding supernovae or other optical transient phenomena.
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PySourceO is a revolutionary source code generator. All that is needed to make a program is to type in what program you want and PySourceO will give you a fully working program that fits your needs. We are creating a new algorithm for PySourceO.
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gpt-oss-20b
OpenAI’s compact 20B open model for fast, agentic, and local use
GPT-OSS-20B is OpenAI’s smaller, open-weight language model optimized for low-latency, agentic tasks, and local deployment. With 21B total parameters and 3.6B active parameters (MoE), it fits within 16GB of memory thanks to native MXFP4 quantization. Designed for high-performance reasoning, it supports Harmony response format, function calling, web browsing, and code execution. Like its larger sibling (gpt-oss-120b), it offers adjustable reasoning depth and full chain-of-thought visibility for better interpretability. ...
