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Automated Quantum Mechanical Environments (AQME) offers transparent and reproducible workflows available for Jupyter Notebooks and command lines, including: 1) RDKit- and CREST-based conformer generation, 2) QM input file creation, 3) post-processing of QM output files, 4) generation of xTB, DFT and RDKit descriptors. https://aqme.readthedocs.io
Things that you should (and should not) do in your Materials Informatics research.
Chemical kinetics, thermodynamics, and transport tool suite
Basic tutorials of supervised, unsupervised, and reinforcement learning
Collection of 'compound scripts' for use with the ORCA quantum chemistry software
Conda build recipe for the rdkit
The fastai deep learning library
Simulate experimental data and optimize chemical kinetics mechanisms with this GUI-based application
Machine learning method for predicting molecular properties
Contains jet-stirred reactor codes for pre-processing experiment conditions, post-processing data, and performing uncertainty analysis.
Python Jupyter Notebooks to reproduce the results in our paper, "Applying machine learning techniques to predict the properties of energetic materials"
MAterials Simulation Toolkit for Machine Learning (MAST-ML)
Master Equation system solver for determining (P,T)-dependent phenomenological rate constants
Molecular machine learning toolkit
a molecular descriptor calculator
Machine learning method for predicting physicochemical properties of light oil fraction
The official OpenMolcas repository is at https://gitlab.com/Molcas/OpenMolcas, this is only a mirror. OpenMolcas is a quantum chemistry software package. The key feature of OpenMolcas is the multiconfigurational approach to the electronic structure.
A Python wrapper for PaDEL-Descriptor software
A collection of tools based on Computational Singular Perturbation for the analysis of chemically reacting systems
The official sources for the RDKit library
1-D shock tube solver
Automated thermdyamic data generation
Tensor network based quantum software framework for the NISQ era
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.