Search Results for "github"
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Showing 20 open source projects for "github"
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KherveFitting
Fit X-ray Photoelectron Spectroscopy (XPS), XAS and Raman data
KherveFitting is a full featured XPS, XAS and Raman fitting software for Windows & macOS that is simple and easy to use. KherveFitting can open Excel files (.xlsx) or import/convert .vms, .avg, .kal, .spe (Thermo, Kratos, Specs, Scienta, Omicron, Phi) files into Excel format. 5 background types available: Tougaard, Shirley, Smart, Adaptive Smart. Various peak fitting models: Product and Sum of Gaussian and Lorentzian (GL & SGL), Voigt, Asymmetric Lorentzian (LA), Doniac-Sunjic (G*DS) and... -
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PoseidonQ - AI/ML Based QSAR Modeling
ML based QSAR Modelling And Translation of Model to Deployable WebApps
...For any feedback or queries, contact kabeermuzammil614@gmail.com - Available on Windows and Linux - Software Authorship - Muzammil Kabier -If You are Facing Issues in Deployment to Streamlit, Try 'requirements.txt' in the Github repo or The Files Deposited Here. -
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Hydrogen Bond Analysis Tool (HBAT)
HBAT 2 is migrated from PERL to Python.
...HBAT 2 is migrated from PERL to Python. Latest Documentation: https://hbat.abhishek-tiwari.com/ Web Server Version: http://hbat-web.abhishek-tiwari.com Latest Github Release: http://github.com/abhishektiwari/hbat Citation: Tiwari, A., & Panigrahi, S. K. (2007). HBAT: A Complete Package for Analysing Strong and Weak Hydrogen Bonds in Macromolecular Crystal Structures. In Silico Biology, 7(6). https://doi.org/10.3233/ISI-2007-00337 -
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GNNPCSAFT
Smart Thermodynamic Modeling with Graph Neural Networks
...To install the GNNPCSAFT app, download the appropriate latest release from the Files, unzip the file, and run the executable for your operating system (Linux or Windows). More info on github repository. -
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GNNPCSAFT Web App
Smart Thermodynamic Modeling with Graph Neural Networks
...In this app, the estimated pure-component parameters can be used to calculate thermodynamic properties and compare them with experimental data from the ThermoML Archive. More info on github repository. -
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TheoDORE
Theoretical Density, Orbital Relaxation and Exciton analysis
...TheoDORE is interfaced to a number of quantum chemical programs (Q-Chem, Columbus, Turbomole, ...) and can be used for a wide range of excited state methods (MR-CI, ADC, CC, TDDFT). It is written in a modular fashion to allow for an easy extension of these capabilities. Code development moved to github: https://github.com/felixplasser/theodore-qc -
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RMGDFT
Real Space Multigrid based electronic structure code.
News: active RMG development has moved to github https://github.com/RMGDFT News: V4.1.0 released on 09/29/2020 News: V4.0.0 released on 09/01/2020 with major updates. News: V3.0.0 released on 06/09/2018 with major updates. News: V2.2.2 released on 10/14/2017 with minor bug fixes. News: V2.2 with performance enhancements, bug fixes and new features released on 06/26/2017. -
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chemfiles
Modern library for chemistry file reading and writing
...Chemfiles provides an interface to access this information which is - unified: the same code will work with all the supported formats; - simple: the interface is easy to use and extensively documented. This is only a mirror of the main repository, development of chemfiles happens on Github, at https://github.com/chemfiles/chemfiles/ -
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Open-source Python software library and GUI desktop environment for direct bioinformatic analysis of mass-spectrometry data through powerful scripting tools and interfaces to many machine data formats, database search engines, and peptide data formats. For a copy of the source code, check out our Github repositories: mzDesktop: https://github.com/MaxAlex/mzDesktop multiplierz: https://github.com/MaxAlex/multiplierz
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!!! PTEROS DEVELOPMENT MOVED TO GITHUB !!! New project page: https://github.com/yesint/pteros New documentation page: https://yesint.github.io/pteros/ Pteros is the C++ library for custom molecular modeling and simulations codes designed for researchers, not for C++ gurus. Provides facilities for PDB, XTC and TRR files IO, powerful selections, geometry transformations, RMSD fitting and alignment, etc.
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XDrawChem
XDrawChem is an application for chemistry drawing and analysis.
XDrawChem is an application for drawing and analyzing chemical structures and reactions. Please visit the website for full details. Download source and binary releases here, and clone the source from GitHub at the external link above. -
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orbkit (Moved to Github)
A Modular Python Toolbox for Cross-Platform Post-Processing of Quantum
PLEASE NOTE ORBKIT HAS BEEN MOVED TO https://github.com/orbkit/orbkit orbkit is a parallel Python program package for post-processing wave function data extracted from output files of MOLPRO (Molden File Format), TURBOMOLE (AOMix file format), GAMESS-US, PROAIMS/AIMPAC (wfn/wfx file format), and Gaussian (Output File and Formatted Checkpoint File) output files. Futhermore, an interface to cclib, a parser for quantum chemical logfiles, is provided. If you use orbkit in your work,... -
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RDKit
Open-Source Cheminformatics and Machine Learning
A collection of cheminformatics and machine-learning software written in C++ and Python. NOTE: the RDKit source code and downloads are now in github: https://github.com/rdkit/rdkit The core algorithms and data structures are written in C++. Wrappers are provided to use the toolkit from either Python or Java. Additionally, the RDKit distribution includes a PostgreSQL-based cartridge that allows molecules to be stored in relational database and retrieved via substructure and similarity searches. -
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FingerID
Metabolite identification via machine learning.
[NOTICE!] FingerID since version 1.4 will be hosted on github: https://github.com/icdishb/fingerid A metabolite identification software using tandem mass spectrometry and kernel methods. The related paper can be found at http://bioinformatics.oxfordjournals.org/content/early/2012/07/18/bioinformatics.bts437.abstract. Now it supports unix/linux like system. -
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[OBSOLETE, check Github repository: https://github.com/LBT-CNRS/MDDriver) MDDriver is a library allowing a user to easily couple molecular visualisation tools with simulation code through a network. It allows to carry out interactive molecular dynamics, visualize simulation results and drive a simulation in interactive time.
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IMPORTANT! As of version 1.2, cclib development has moved to github. Please use the flowing pages for up-to-date information about cclib: Repository (source code, tracker) - https://github.com/cclib/cclib Online documentation - http://cclib.github.io/ cclib is an open source library, written in Python, for parsing and interpreting the results of computational chemistry packages. It currently parses output files from ADF, Firefly, GAMESS, GAMESS-UK, Gaussian, Jaguar and ORCA.
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quichem
Utilities for fast input of chemical formulae and equations.
*** New releases of quichem will only be available on GitHub. *** quichem is a utility written in pure Python allowing for fast input and parsing of chemical formulae and equations. Entering data does not require any modifier keys or keystrokes to be pressed. This SourceForge page provided pre-built Windows binaries of quichem-pyside. **To run quichem on Mac OS X or Linux**, or with the wxPython front-end, please download the source from quichem's GitHub page at: github.com/spamalot/quichem. -
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(We have migrated this project to github [June 1 2015)] http://github.com/msg-byu/enumlib). The source files have been removed from sourceforge. Go to github (link above) for the latest copy. <<<< OLD SUMMARY >>>> A Fortran 95 implementation of an algorithm for generating derivative structures of a parent lattice. The algorithm is discussed in detail in: Gus L.
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Metmask has moved to github http://github.com/hredestig/metmask Metmask is a tool written in python for managing chemical identifiers for metabolomics experiments. It can incorporate identifiers from local textfiles, several online databases, query PubChem and record all found associations in a local sqlite database.
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LaJolla can perform 3D alignments of RNA and protein structures. It is fast, simple to use and well tested. LaJolla is successfully published in a peer reviewed journal. !!!!!! PROJECT MOVED TO GITHUB !!!!!! Please check out http://raphaelbauer.github.io/lajolla/
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