mjz1997's repositories
AiLearning
AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP
alibi
Algorithms for explaining machine learning models
coreg
Implementation of Co-training Regressors (COREG) semi-supervised regression algorithm from Zhou and Li, 2005.
deepmind-research
This repository contains implementations and illustrative code to accompany DeepMind publications
early-stopping-pytorch
Early stopping for PyTorch
gcn
Implementation of Graph Convolutional Networks in TensorFlow
GeoDataViz-Toolkit
The GeoDataViz Toolkit is a set of resources that will help you communicate your data effectively through the design of compelling visuals. In this repository we are sharing resources, assets and other useful links.
geovoronoi
a package to create and plot Voronoi regions within geographic boundaries
GNNPapers
Must-read papers on graph neural networks (GNN)
GranularFlowModels
The software is a list of Abaqus User MATerial subroutines (VUMAT) for modeling granular flow physics. It includes (1) density dependent Mohr-Coulomb model, (2) density dependent Drager-Prager\Cap model, (3)Gudehus-Bauer hypoplastic model, and (4) critical state-based NorSand model.
LIGGGHTS_Flexible_Fibers
This is a modified version of LIGGGHTS that includes granular bond formulations. The original version of LIGGGHTS produced by CFDEM can be found here: https://github.com/CFDEMproject/LIGGGHTS-PUBLIC
lmfit-py
Non-Linear Least Squares Minimization, with flexible Parameter settings, based on scipy.optimize.leastsq, and with many additional classes and methods for curve fitting
neqdmft
Fortran Code for the non-equilibrium Dynamical Mean Field Theory
outlace.github.io
Machine learning and data science blog.
pysampen
Vectorized implementations of sample entropy (SampEn) and approximate entropy (ApEn)
PyTorch-VAE
A Collection of Variational Autoencoders (VAE) in PyTorch.
stable-diffusion
A latent text-to-image diffusion model
try
try pycharm and git
vedo
A python module for scientific analysis of 3D objects based on VTK and Numpy