sparks-baird Goto Github PK
Name: Sparks/Baird Materials Informatics
Type: Organization
Bio: Sterling Baird and Taylor Sparks Materials Informatics Projects
Location: United States of America
Name: Sparks/Baird Materials Informatics
Type: Organization
Bio: Sterling Baird and Taylor Sparks Materials Informatics Projects
Location: United States of America
NumPy aware dynamic Python compiler using LLVM
numba_scipy extends Numba to make it aware of SciPy
Tutorial exercises for the OPTIMADE API
A high-dimensional property predictor framed as a pseudo-materials discovery benchmark with fake compositional (linear) and "no-more-than-X-components" (non-linear) constraints.
https://packaging.python.org/tutorials/packaging-projects
Hard-sphere packing generation with the Lubachevsky–Stillinger, Jodrey–Tory, and force-biased algorithms and packing post-processing.
Pallete image processing models (e.g. JPEG restoration, inpainting), adapted to act as a surrogate model for density functional theory (DFT) relaxation of crystal structures and structure prediction.
Unofficial implementation of Palette: Image-to-Image Diffusion Models by Pytorch
Software for evaluating pareto-optimal synthesis pathways
🛠 Python project template generator with batteries included
Python wrapper for the sparse QR decomposition in SuiteSparseQR.
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Predict materials properties using composition and/or structure.
Automatic generation of crystal structure descriptions.
Software and instructions for setting up and running a self-driving lab (autonomous experimentation) demo using dimmable RGB LEDs, an 8-channel spectrophotometer, a microcontroller, and an adaptive design algorithm, as well as extensions to liquid- and solid-based color matching demos.
A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.
Use SikuliX from real Python via py4j
Library to easily manipulate conda recipes.
A place to submit conda recipes before they become fully fledged conda-forge feedstocks
A python toolbox for predictive uncertainty quantification, calibration, metrics, and visualization
Predicting load dependent Vickers hardness
Encode/decode a crystal structure to/from a grayscale PNG image for direct use with image-based machine learning models such as Palette.
A conda-smithy repository for xtal2png.
Saving notebooks as I run them, even if I might not end up using them for a manuscript and especially to preserve history when I overwrite them.
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.