zjg540066169

zjg540066169's Stars

• MingchaoZhu/InterpretableMLBook

  《可解释的机器学习--黑盒模型可解释性理解指南》，该书为《Interpretable Machine Learning》中文版

  4.8k1537691

• HugoBlox/theme-academic-cv

  🎓 无需编写任何代码即可轻松创建漂亮的学术网站 Easily create a beautiful academic résumé or educational website using Hugo and GitHub. No code.

  Language:TeX3.9k3406.3k

• huihut/CS-Books

  📚 Computer Science Books 计算机技术类书籍 PDF

  3.3k91131.9k

• rguo12/awesome-causality-algorithms

  An index of algorithms for learning causality with data

  2.9k1089441

• avehtari/BDA_course_Aalto

  Bayesian Data Analysis course at Aalto

  Language:TeX2.1k6425556

• bermanmaxim/LovaszSoftmax

  Code for the Lovász-Softmax loss (CVPR 2018)

  Language:Jupyter Notebook1.4k3234269

• zjg540066169/TMOGA

  Source Code for Paper "Transfer Learning Based Multi-Objective Genetic Algorithm for Dynamic Community Detection" (arxiv: https://arxiv.org/abs/2109.15136)

  Language:Python17126

• rsparapa/bnptools

  R packages for Bayesian Nonparametrics

  Language:R12441

• KDDComplexNetworkAnalysis/RDyn

  RDyn: graph benchmark handling community dynamics

  Language:Python6200

• zjg540066169/BMIselect

  Source Code for Paper "Bayesian MI-LASSO for variable selection on multiply-imputed data" (Arxiv: https://arxiv.org/abs/2211.00114)

  Language:Python4100

• bebory/angular-cli

  CLI tool for Angular

  Language:TypeScript1100

• bebory/bebory.github.io

  1200

• bebory/java-learning

  my code from java course

  Language:Java1100

• bebory/jitsi-meet

  Jitsi Meet - Secure, Simple and Scalable Video Conferences that you use as a standalone app or embed in your web application.

  Language:JavaScript1100

• bebory/PDFD

  Pytorch Implementation of PDFD (IJCAI 2020)

  Language:Python1000

• bebory/robust_mnist_feature_py

  Extracting robust/nonrobust features from MNIST

  Language:Python1100