Chuanyu Liu's repositories
GPT-toolkit-summary
🛠️ There's always an AI tool designed for you！
Ising-model
Simulation of 1D Ising model and visualized all the numerical configurations and energy level degenercy, to find the intersection with Boltzmann distribution function. 2D Ising model, etc.
Machine-learning-for-Materials
CNN, GNN, SchNet and QM9 dataset, etc.
Molecular-dynamics-simulation-NVE-
Tutorial: Molecular dynamics simulation of Lennard-Jones particles in microcanonical ensemble.
Quantum-Chemistry
Use computational chemistry method and HF theory to build a model of atoms and molecules.
Course_ML-for-Materials
Courses summary(Instructor: Logan Ward)
Create-Lammps-input-files-with-packmol-and-VMD-
Simulation of water molecules with packmol, VMD, and Lammps.
deeplearning_ai_books
deeplearning.ai（吴恩达老师的深度学习课程笔记及资源）
Monte-Carlo-method
A brief introduction to MC method and its mathematical theory
Quantum-learner
Some open source and useful learning materials related to quantum science and engineering
CNN-for-image-process
CNN for image process
GNN-for-Materials-Science
GNN for materials design. Pre-training model, dataset, etc.
HPC-for-materials
High performance computing for materials simulation. The 3rd paradigm.
My-Current-project
Computational model of NP
Computational-Physics
Widely used methods of computational physics including some numerical computations in classic and quantum mechanics.
CS-self-learning
🦾 Open courses from Harvard, MIT, Stanford, Berkeley, CMU, etc.
free-project-course
Free course for Resume, 整理和搜集网络免费的项目实战课程，包括 Java 项目实战，Python 项目实战，C++ 项目实战等
MatDeepLearn_dev
Georgia Tech: https://www.fung-group.org/
Minesweeper-game
Just for fun!
NOMAD
Explore and analyse the database of computational materials science data
Numerical-Analysis
A brief introduction to Numerical Analysis based on MATLAB and Fortran, and some computational physics problems.
Quick-start
Some fundamental tutorial for Python, GitHub, and command line, etc.
Single-particle-tracking-program
It's an entry-level program to learn the particle tracking in acceralor physics with SAD software. Our goal is to find the relation of 6D coordinates of particle before and after tracking with neural network or other mathematical physics tools.
Statistics-for-ML
Basic statistics for machine learning
Uni-Mol
A Universal 3D Molecular Representation Learning Framework