hc317's Stars
tblite/tblite
Light-weight tight-binding framework
SINGROUP/dscribe
DScribe is a python package for creating machine learning descriptors for atomistic systems.
networkx/networkx
Network Analysis in Python
HIPS/autograd
Efficiently computes derivatives of NumPy code.
openmm/openmm
OpenMM is a toolkit for molecular simulation using high performance GPU code.
openmopac/mopac
Molecular Orbital PACkage
kaist-amsg/LocalRetro
Retrosynthesis prediction for organic molecules with LocalRetro
qcscine/chemoton
Eugeny/tabby
A terminal for a more modern age
eljost/pysisyphus
Python suite for optimization of stationary points on ground- and excited states PES and determination of reaction paths.
duartegroup/autodE
automated reaction profile generation
kyunghoonlee777/pyMCD
python code for Multi-Coordinate Driving (MCD) method
jrschmidt2/micki
Object-oriented microkinetic modeling package using ASE
lasphub/AI-Cat
AI Cat for heterogenous reaction mechanism prediction
microsoft/AI-For-Beginners
12 Weeks, 24 Lessons, AI for All!
d2l-ai/d2l-zh
《动手学深度学习》:面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。
krahets/hello-algo
《Hello 算法》:动画图解、一键运行的数据结构与算法教程。支持 Python, Java, C++, C, C#, JS, Go, Swift, Rust, Ruby, Kotlin, TS, Dart 代码。简体版和繁体版同步更新,English version ongoing
zhangylch/EANN
m0baxter/DMC
Diffusion Monte Carlo method
google/active-learning
whitead/dmol-book
Deep learning for molecules and materials book
charnley/rmsd
Calculate Root-mean-square deviation (RMSD) of two molecules, using rotation, in xyz or pdb format
deepmodeling/deepmd-kit
A deep learning package for many-body potential energy representation and molecular dynamics
chenglu66/lr
基于LR的优化方法:梯度下降法,随机梯度下降法,牛顿法,LBFGS,BFGS
yixuan/LBFGSpp
A header-only C++ library for L-BFGS and L-BFGS-B algorithms
grimme-lab/xtb
Semiempirical Extended Tight-Binding Program Package
zhangylch/REANN
loveunk/Deep-learning-books
Books for machine learning, deep learning, math, NLP, CV, RL, etc
dragen1860/TensorFlow-2.x-Tutorials
TensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT examples, etc. TF 2.0版入门实例代码,实战教程。
dragen1860/Deep-Learning-with-TensorFlow-book
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.