GithubHelp home page GithubHelp logo

mjz1997's Projects

ailearning icon ailearning

AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP

alibi icon alibi

Algorithms for explaining machine learning models

coreg icon coreg

Implementation of Co-training Regressors (COREG) semi-supervised regression algorithm from Zhou and Li, 2005.

deepmind-research icon deepmind-research

This repository contains implementations and illustrative code to accompany DeepMind publications

gcn icon gcn

Implementation of Graph Convolutional Networks in TensorFlow

geodataviz-toolkit icon 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 icon geovoronoi

a package to create and plot Voronoi regions within geographic boundaries

gnnpapers icon gnnpapers

Must-read papers on graph neural networks (GNN)

granularflowmodels icon 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 icon 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 icon 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 icon neqdmft

Fortran Code for the non-equilibrium Dynamical Mean Field Theory

pysampen icon pysampen

Vectorized implementations of sample entropy (SampEn) and approximate entropy (ApEn)

pytorch-vae icon pytorch-vae

A Collection of Variational Autoencoders (VAE) in PyTorch.

try icon try

try pycharm and git

vedo icon vedo

A python module for scientific analysis of 3D objects based on VTK and Numpy

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.