Minggao Feng's repositories
DeepFM4MOF
This package provides implementation of MOF recommendation system.
alignn
Atomistic Line Graph Neural Network
Atom2Vec
Atom2Vec: a simple way to describe atoms for machine learning
autogluon
AutoGluon: AutoML for Image, Text, and Tabular Data
AutomatedExperiment_Summer2023
The summer training course on the Bayesian Optimization
Awesome-Crystal-GNNs
This repository contains a collection of resources and papers on GNN Models on Crystal Solid State Materials
awesome-materials-informatics
Curated list of known efforts in materials informatics
cp2k
Quantum chemistry and solid state physics software package
DiT
Official PyTorch Implementation of "Scalable Diffusion Models with Transformers"
DiT-3D
🔥🔥🔥Official Codebase of "DiT-3D: Exploring Plain Diffusion Transformers for 3D Shape Generation"
Generative-models
This project aim to share the knowledge and code concerning generative models.
i-pi
i-PI: a universal force engine
ipcsp
Integer Programming encoding for Crystal Structure Prediction with classic and quantum computing bindings
latent-diffusion
High-Resolution Image Synthesis with Latent Diffusion Models
MatDeepLearn
MatDeepLearn, package for graph neural networks in materials chemistry
MetisFL
MetisFL is a federated learning framework that allows developers to easily federate their machine learning workflows and train their models across distributed data silos without ever collecting the data in a centralized location. The core of the framework is written in C++ and focuses on scalability, speed and resiliency.
mofchecker
Basic sanity checks for MOFs.
mofdscribe
An ecosystem for digital reticular chemistry
MOFormer
Transformer model for structure-agnostic metal-organic frameworks (MOF) property prediction
MOFTransformer
Universal Transfer Learning for MOF
molSimplify
molSimplify code
PORMAKE
Python library for the construction of porous materials using topology and building blocks.
stable-diffusion
A latent text-to-image diffusion model
stk
A Python library which allows construction and manipulation of complex molecules, as well as automatic molecular design and the creation of molecular databases.
StructRepGen
Atomic Structure Generation from Reconstructing Structural Fingerprints
Train_Custom_Dataset
标注自己的数据集，训练、评估、测试、部署自己的人工智能算法