Alternatives and similar repositories for autoencoder_python

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

• ideasplus / imbalance-learning
  There are some reproduced algorithms for learning from imbalanced data, including over-sampling,under-sampling and boosting
  ☆12Updated last year
• wangamama / TransferLearning
  instance based Transfer learning, TrAdaboost, mutisource-trAdaBoost regresion
  ☆15Updated 7 years ago
• upup123 / AAAI-2019-AFS
  The code of the AAAI-19 paper "AFS: An Attention-based mechanism for Supervised Feature Selection".
  ☆45Updated 6 years ago
• kaushalshetty / SMOTE
  Synthetic Minority Over-sampling Technique
  ☆39Updated 8 years ago
• chenchiwei / tradaboost
  Transfer learning algorithm TrAdaboost,coded by python
  ☆123Updated 2 years ago
• siddharth-agrawal / Sparse-Autoencoder
  ☆89Updated 7 years ago
• yanshengli / DBN_Learning
  利用深度RBM构建多分类模型
  ☆19Updated 9 years ago
• shubhamjn1 / Pseudo-Labelling---A-Semi-supervised-learning-technique
  ☆61Updated 7 years ago
• chcorbi / MultiTaskLearning
  Package to apply MTL on a few dataset
  ☆26Updated 8 years ago
• jjrob13 / sklearn_cotraining
  An implementation of the Co-Training semi-supervised learning technique from (Blue, Mitchell 1998) that is meant to work well with scikit…
  ☆74Updated 5 years ago
• ningshixian / Keras-Tutorial
  Keras深度学习框架配置+Keras教程+Keras Trick
  ☆33Updated 5 years ago
• v-mipeng / ClassImbalanceLearning
  This is the implementation code for the paper "Trainable Undersampling for Class-Imbalance Learning" published in AAAI2019
  ☆16Updated 6 years ago
• seongjunyun / CNN-with-Dual-Local-and-Global-Attention
  Implementaion of Interpretable Convolutional Neural Networks with Dual Local and Global Attention for Review Rating Prediction
  ☆122Updated 4 years ago
• iamyuanchung / csdnn
  Theano implementation of Cost-Sensitive Deep Neural Networks
  ☆26Updated 7 years ago
• P1Analytics / Pseudo-Label-for-Deep-Neural-Networks
  Semi-Supervised Learning Method for Deep Neural Networks
  ☆28Updated 7 years ago
• pochih / MNIST-multitask
  6️⃣6️⃣6️⃣ Reproduce ICLR '18 under-reviewed paper "MULTI-TASK LEARNING ON MNIST IMAGE DATASETS"
  ☆42Updated 7 years ago
• dhruvramani / C2AE-Multilabel-Classification
  Tensorflow implementation for the paper 'Learning Deep Latent Spaces for Multi-Label Classfications' in AAAI 2017
  ☆99Updated 7 years ago
• yangze01 / Distilling_the_Knowledge_in_a_Neural_Network_pytorch
  ☆22Updated 2 years ago
• nathanntg / adaboost
  Simple Python Adaboost Implementation
  ☆25Updated 4 years ago
• altmanWang / IJCAI-18-CVR
  IJCAI-18 阿里妈妈搜索广告转化预测总结
  ☆21Updated 6 years ago
• eyounx / ASG
  Open category classification by adversarial sample generation
  ☆20Updated 4 years ago
• kaushiksk / RBM_DBN
  Experimenting with RBMs using scikit-learn on MNIST and simulating a DBN using Keras.
  ☆33Updated 7 years ago
• SunnyMarkLiu / Naive_Bayes_Meet_Adaboost
  Implement Naive Bayes and Adaboost from scratch and use them to filter spam emails.
  ☆159Updated 8 years ago
• RobRomijnders / ssl_graph
  Semi supervised learning on graphs
  ☆35Updated 7 years ago
• onion1003 / JData_2018
  京东2018算法大赛 如期而至-用户购买时间预测
  ☆22Updated 7 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
• yongyehuang / DC-hi_guides
  [Data Castle 算法竞赛] 精品旅行服务成单预测 final rank 11
  ☆93Updated 7 years ago
• deerishi / graph-based-semi-supervised-learning
  This project explores the different techniques (both scalable and non scalable) for Graph based semi supervised learning. Recent techniqu…
  ☆14Updated 9 years ago
• scofield7419 / basic_NNs_in_frameworks
  several basic neural networks[mlp, autoencoder, CNNs, recurrentNN, recursiveNN] implements under several NN frameworks[ tensorflow, pytor…
  ☆65Updated 2 years ago
• kingfengji / mGBDT
  This is the official clone for the implementation of the NIPS18 paper Multi-Layered Gradient Boosting Decision Trees (mGBDT) .
  ☆103Updated 6 years ago