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Name: Sun Xly
Type: User
Bio: (๑ŐдŐ)b
Name: Sun Xly
Type: User
Bio: (๑ŐдŐ)b
Arduino Hourglass project using mpu6050 sensor
Analysing the influence of the spacial structure of catalyst molecules on their activation barrier using neural networks.
Prepares an atomistic snapshot (.vtf file) with atoms colored according to their charges (beta values in VMD) from Bader program for VASP (http://theory.cm.utexas.edu/henkelman/code/bader/)
Codes to analyze VASP CONTCAR files to identify and classify adsorption binding sites
Crystal graph convolutional neural networks for predicting material properties.
吴恩达老师的机器学习课程个人笔记
Neural Networks in Cython, inspired by PyBrain.
深度学习入门开源书,基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.
A deep learning package for many-body potential energy representation and molecular dynamics
3D convolutional neural networks for the prediction of atomization energies
Gaussian Processes regression with gaussian kernel implementation.
Makes normal violin plots with specified means and standard deviations
Matlab code for the introduction to Gaussian processes, 2008
InstantID : Zero-shot Identity-Preserving Generation in Seconds 🔥
In this exercise, we will perform kernel ridge regression (KRR) on the data set. For this exercise, you will hold out 2=3 of data for training and report the test results on the remaining 1/3.
Matlab scripts containing kernel ridge regression, with Gaussian kernel, with cross validation for parameter setting in Matlab.
This repository contains the Zacros input files used in my research work entitled "Kinetic Monte Carlo simulations unveil synergic effects at work on bifunctional catalysts", available at https://pubs.acs.org/doi/abs/10.1021/acscatal.9b02813.
Learning to Self-Train for Semi-Supervised Few-Shot
:zap:机器学习实战(Python3):kNN、决策树、贝叶斯、逻辑回归、SVM、线性回归、树回归
Distributed as part of the publication "Interaction trends between single metal atoms and oxide supports identified with density functional theory and statistical learning" Nolan J. O’Connor, A S M Jonayat, Michael J. Janik*, Thomas P. Senftle*
A code to predict atomic NMR chemical shift based GCN and QM calculation
Numpy implementation of Hilbert curves in arbitrary dimensions
Supporting materials for "An Adaptive Machine Learning Strategy for Accelerating Discovery of Perovskite Electrocatalysts".
Latex code for making neural networks diagrams
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.