Alternatives and similar repositories for AdaboostExample

Users that are interested in AdaboostExample are comparing it to the libraries listed below

• qiuhaining / sklearn-SVM
  支持向量机(SVM)——分类预测，包括多分类问题，核函数调参，不平衡数据问题，特征降维，网格搜索，管道机制，学习曲线，混淆矩阵，AUC曲线等
  ☆52Updated 7 years ago
• geroge-gao / deeplearning
  some small codes about deep learning
  ☆51Updated 7 years ago
• luckyerdog / feature_select
  在sklearn下，几种常用的特征选择方法
  ☆40Updated 9 years ago
• nathanntg / adaboost
  Simple Python Adaboost Implementation
  ☆25Updated 4 years ago
• SummerRaining / kera_translation_learning
  keras融合inception,vgg,residual_net做一个超快的迁移学习模型
  ☆11Updated 6 years ago
• HansRen1024 / SVM-classification-localization
  HoG, PCA, PSO, Hard Negative Mining, Sliding Window, Edge Boxes, NMS
  ☆170Updated 6 months ago
• weepon / feature_selection
  常用的特征选择方法
  ☆68Updated 2 years ago
• zonghua94 / mnist
  mnist classification with tensorflow ( nn, cnn, lstm, nlstm, bi-lstm, cnn-rnn)
  ☆108Updated 8 years ago
• whoami-zy / fault-forecast
  风机叶片开裂故障预警解决方案
  ☆28Updated 6 years ago
• LiangjunFeng / Machine-Learning
  Basic algorithms about machine learnig
  ☆50Updated 4 years ago
• xuetsing / cats-vs-dogs
  TensorFlow实现Kaggle猫狗大战
  ☆56Updated 7 years ago
• yanshengli / DBN_Learning
  利用深度RBM构建多分类模型
  ☆19Updated 9 years ago
• iamyuanchung / csdnn
  Theano implementation of Cost-Sensitive Deep Neural Networks
  ☆26Updated 7 years ago
• JianghaoPi / stock_predict_bpnn
  attempt to predict the stock price with BP neural network
  ☆15Updated 8 years ago
• jaimeps / adaboost-implementation
  Implementation of AdaBoost algorithm in Python
  ☆178Updated 8 years ago
• sileixinhua / Python_data_science_by_iris
  iris数据集的基本数据分析方法，包括KNN,LG,NB,SVM算法。
  ☆46Updated 8 years ago
• zhaoxingfeng / SVM
  支持向量机，Support Vector Machine(SVM)，多类分类
  ☆31Updated 8 years ago
• cbwces / 2019iFLYTEK2019_TOP2
  ☆13Updated 5 years ago
• massquantity / Class-Imbalance
  《机器学习之类别不平衡问题》文章代码
  ☆47Updated 6 years ago
• GongQin721 / keras-attention-mechanism-master
  keras注意力机制
  ☆18Updated 6 years ago
• kaushiksk / RBM_DBN
  Experimenting with RBMs using scikit-learn on MNIST and simulating a DBN using Keras.
  ☆33Updated 7 years ago
• liruixuan-xidian / CarND-Semantic-Segmentation
  ☆14Updated 7 years ago
• dlmacedo / SVM-CNN
  A feature extractor based on Python 3, Tensorflow, and Scikit-learn created to improve the SVM accuracy to classify the MNIST dataset fas…
  ☆70Updated 2 years ago
• zhulei227 / Stacking_Ensembles
  Stacking classification and regression
  ☆24Updated 5 years ago
• zhangyaqi1989 / Ensemble-Methods-for-Image-Classification
  In this project, I implemented several ensemble methods (including bagging, AdaBoost, SAMME, stacking, snapshot ensemble) for a normal CN…
  ☆98Updated 6 years ago
• AmbitionC / Tianchi_DiabetesPredict
  天池大数据竞赛数据集&代码
  ☆12Updated 6 years ago
• darlinglele / classification
  感知器、贝叶斯分类、决策树分类、K最近邻法、逻辑回归、支持向量机...
  ☆128Updated 10 years ago
• rogeroyer / feature_selection_GAAlgorithm
  基于遗传算法的特征选择
  ☆128Updated 5 years ago
• ideasplus / imbalance-learning
  There are some reproduced algorithms for learning from imbalanced data, including over-sampling,under-sampling and boosting
  ☆12Updated last year
• myme5261314 / dbn_tf
  RBM/DBN implementation with tensorflow attempt project
  ☆80Updated 9 years ago