RainyHyacinth

RainyHyacinth's Stars

• gqi/MRMix

  R package for performing Mendelian Randomization using mixture models

  Language:R248

• lmz123321/which_invariance

  Official implementation for ICML23 paper: Which Invariance Should We Transfer? A Causal Minimax Learning Approach

  Language:Jupyter Notebook112

• pedemonte96/causaleffect

  Python package to compute conditional and non-conditional causal effects.

  Language:Python315

• MukundSai7907/MNIST-Gaussian-Discriminant-Ananlysis

  An implementation of a Gaussian Discriminant Analysis (GDA) based classifier for the MNIST dataset

  Language:Jupyter Notebook1

• dnlam/mnist

  Linear and logistic regression, non-linear features, regularization, and kernel

  Language:Python1

• wdlv/Clustering-on-the-MNIST-data

  Comparisons between KMeans, PCA, LDA, t-SNE on the MNIST dataset

  Language:Jupyter Notebook228

• grfiv/MNIST

  Machine Learning analyses of the MNIST database of handwritten digits

  Language:Jupyter Notebook5123

• ddgerrard/MNIST_logistic_regression

  Logistic Regression on MNIST

  Language:Jupyter Notebook1

• zhengyima/mnist-classification

  Pytorch、Scikit-learn实现多种分类方法，包括逻辑回归（Logistic Regression）、多层感知机（MLP）、支持向量机（SVM）、K近邻（KNN）、CNN、RNN，极简代码适合新手小白入门，附英文实验报告（ACM模板）

  Language:Python37793

• yell/mnist-challenge

  My solution to TUM's Machine Learning MNIST challenge 2016-2017 [winner]

  Language:Jupyter Notebook7014

• leikunx/AI_projects

  I am a full-stack engineer for AI projects, glad to share my experience. pratices make the top engineer.

  Language:Jupyter Notebook503197