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Starred repositories
Open Source Dislocation Dynamics Simulation Framework and Libraries
Differentiable Finite Element Method with JAX
🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.
Additive manufacturing simulation with JAX.
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
A Python package for manipulating atomistic data of software in computational science
Reinforcement Learning / AI Bots in Card (Poker) Games - Blackjack, Leduc, Texas, DouDizhu, Mahjong, UNO.
TuShare is a utility for crawling historical data of China stocks
For trading. Please star.
High-Resolution Image Synthesis with Latent Diffusion Models
Github Pages template based upon HTML and Markdown for personal, portfolio-based websites.
Graph Neural Network Library for PyTorch
Python for Materials Machine Learning, Materials Descriptors, Machine Learning Force Fields, Deep Learning, etc.
A two-way deep learning bridge between Keras and Fortran
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
The deep potential generator to generate a deep-learning based model of interatomic potential energy and force field
Master the command line, in one page
Public development project of the LAMMPS MD software package
A deep learning package for many-body potential energy representation and molecular dynamics
This is a fork of LAMMPS with the pair-style USER-PINN added. USER-PINN implements the physically informed neural network (PINN) interatomic potential model
Atomsk: A Tool For Manipulating And Converting Atomic Data Files -
A library for scientific machine learning and physics-informed learning
Automatic Differentiation Library for Computational and Mathematical Engineering
Software for generating machine-learning interatomic potentials for LAMMPS