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WeiDi's starred repositories

image_class

基于keras集成多种图像分类模型： VGG16、VGG19、InceptionV3、Xception、MobileNet、AlexNet、LeNet、ZF_Net、ResNet18、ResNet34、ResNet50、ResNet_101、ResNet_152、DenseNet

Language:Python43400

Keras_Multi_Label_TextClassfication

本项目利用KERAS结合不同的分类器并使用Glove词向量，对文本进行多标签分类。This project uses KERAS,Glove and many classifiers to classify text multi-label classification

Language:PythonMIT2000

mnist-lenet-keras

LeNet implemented in keras, using the mnist dataset

Language:Python2400

lstm-mnist

RNN classifier built with Keras to classify MNIST dataset

Language:PythonMIT1300

Fuzzy-Rouh-Set

Feature selection based on Fuzzy Rough Set in Matlab

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FRS_ML

Multi-label feature selection based on fuzzy rough sets

Language:Matlab1000

MoAL

Mother of All Learning - an "uber" list of CompSci/Engineering goals written in (mostly) Python to help me learn a vast number of topics.

Language:PythonApache-2.02700

adtree-py

A sparse all-dimensions tree tool-kit in Python for statistical machine learning acceleration

Language:PythonGPL-2.0700

This code is for the LdSM algorithm proposed in our research paper titled “LdSM: Logarithm-depth Streaming Multi-label Decision Trees” authored by Maryam Majzoubi and Anna Choromanska which was published at AISTATS 2020. The code is written in C++ and should compile on 64 bit Windows/Linux machines using a C++11 enabled compiler.

Language:C++400