Alternatives and similar repositories for AdaboostExample

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

• nathanntg / adaboost
  Simple Python Adaboost Implementation
  ☆25Updated 4 years ago
• geroge-gao / deeplearning
  some small codes about deep learning
  ☆51Updated 7 years ago
• yanshengli / DBN_Learning
  利用深度RBM构建多分类模型
  ☆19Updated 9 years ago
• zhulei227 / Stacking_Ensembles
  Stacking classification and regression
  ☆24Updated 5 years ago
• luckyerdog / feature_select
  在sklearn下，几种常用的特征选择方法
  ☆40Updated 9 years ago
• weepon / feature_selection
  常用的特征选择方法
  ☆68Updated 2 years ago
• HansRen1024 / SVM-classification-localization
  HoG, PCA, PSO, Hard Negative Mining, Sliding Window, Edge Boxes, NMS
  ☆170Updated 6 months ago
• AmbitionC / Tianchi_DiabetesPredict
  天池大数据竞赛数据集&代码
  ☆12Updated 6 years ago
• 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
• cbwces / 2019iFLYTEK2019_TOP2
  ☆13Updated 5 years ago
• Daya-Jin / ML_for_learner
  Implementations of the machine learning algorithm with Python and numpy
  ☆86Updated 3 years ago
• woxima / 2019iFLYTEK_MachineryLife_Baseline
  ☆20Updated 5 years ago
• jaimeps / adaboost-implementation
  Implementation of AdaBoost algorithm in Python
  ☆178Updated 8 years ago
• zonghua94 / mnist
  mnist classification with tensorflow ( nn, cnn, lstm, nlstm, bi-lstm, cnn-rnn)
  ☆108Updated 8 years ago
• Rudo-erek / decision-tree
  基于kaggle上Titanic数据集实现的ID3、C4.5、CART和CART剪枝算法
  ☆40Updated 6 years ago
• whoami-zy / fault-forecast
  风机叶片开裂故障预警解决方案
  ☆28Updated 6 years ago
• kaushiksk / RBM_DBN
  Experimenting with RBMs using scikit-learn on MNIST and simulating a DBN using Keras.
  ☆33Updated 7 years ago
• luoda888 / CCF2018-Top2-Demand-Forecast
  Solutions of the forecast problem using Xgboost
  ☆91Updated 6 years ago
• kaushalshetty / SMOTE
  Synthetic Minority Over-sampling Technique
  ☆38Updated 8 years ago
• Nana0606 / student_and_teacher_classifier
  通过科研人员论文项目等数据，训练识别导师/学生的分类器。代码包括特征选择基础、网格搜索确定特征选择方法参数、不平衡数据的处理(oversampling、undersampling)和pu-learning方法在此问题上的应用
  ☆30Updated 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
• tobyma2020 / cluster
  The codes的K-means，FCM，谱聚类，DBSCAN，AP（AffinityPropagation），DPC聚类算法比较
  ☆155Updated 7 years ago
• xuetsing / cats-vs-dogs
  TensorFlow实现Kaggle猫狗大战
  ☆56Updated 7 years ago
• windxgg / busPassengerPredict
  ☆36Updated 6 years ago
• MachineLP / train_cnn-rnn
  cnn+rnn: vgg(vgg16,vgg19)+rnn(LSTM, GRU), resnet(resnet_v2_50,resnet_v2_101,resnet_v2_152)+rnnrnn(LSTM, GRU), inception_v4+rnn(LSTM, GRU)…
  ☆66Updated 6 years ago
• ZFlys / iFLYTEK-AI
  工程机械核心部件寿命预测挑战赛
  ☆21Updated 5 years ago
• JianghaoPi / stock_predict_bpnn
  attempt to predict the stock price with BP neural network
  ☆15Updated 8 years ago
• keep-steady / BiLSTM_attention_keras
  ☆10Updated 6 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
• fs302 / Algorithms
  for algorithm implementation and testing.
  ☆23Updated 4 years ago