Alternatives and similar repositories for FuzzyMinMax

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

• YuqiCui / TSK_BN_UR
  A pytorch implementation of TSK fuzzy sytems.
  ☆17Updated 5 years ago
• mahdiabavisani / DSRC
  Tensorflow implementation of "Deep sparse representation-based classification"
  ☆44Updated 6 years ago
• aminb99 / choquet-integral-NN
  The Choquet Integral Neural Network
  ☆13Updated 5 years ago
• asahi417 / DeepDomainAdaptation
  Tensorflow deep learning based domain adaptation model implementations with experiment of estimate MNIST by SVHN data (SVHN -> MNIST): DA…
  ☆26Updated 6 years ago
• yn-sun / evocae
  The codes for the paper of "A particle swarm optimization-based flexible convolutional auto-encoder for image classification" published b…
  ☆10Updated 4 years ago
• freedombenLiu / RNN-Time-series-Anomaly-Detection
  ☆20Updated 6 years ago
• alianoroozi / Cost-Sensitive-Learning-By-Genetic
  A python implementation of a genetic algorithm based approach for cost sensitive learning
  ☆8Updated 5 years ago
• minoue-xx / Oversampling-Imbalanced-Data
  MATLAB Implementation of SMOTE related algorithms
  ☆31Updated 11 months ago
• rezacsedu / Multimodal-autoencoder-for-breast-cancer
  Prognostically Relevant Subtypes and Survival Prediction for Breast Cancer Based on Multimodal Genomics Data
  ☆29Updated 5 years ago
• abhisheksambyal / Autoencoders-using-Pytorch-Medical-Imaging
  Medical Imaging, Denoising Autoencoder, Sparse Denoising Autoencoder (SDAE) End-to-end and Layer Wise Pretraining
  ☆47Updated 6 years ago
• simonZhou86 / EvolutionaryComputing
  Genetic Algorithm based optimization for CNN parameters
  ☆12Updated 3 years ago
• giorgioroffo / Infinite-Feature-Selection
  Infinite Feature Selection: a Graph-based Feature Filtering Approach
  ☆41Updated 10 months ago
• stanfordmlgroup / MedSelect
  Learns effective selective labeling strategies for medical images using deep reinforcement learning and meta learning
  ☆26Updated 4 years ago
• otenim / Numpy-ELM
  A Numpy Implementation of Extreme Learning Machine (ELM)
  ☆35Updated 6 years ago
• mhaghighat / ccaFuse
  Feature fusion using Canonical Correlation Analysis (CCA)
  ☆50Updated 5 years ago
• erYash15 / Multivariate-Time-Series-Early-Classification
  Project is based on the paper "Early classification on multivariate time series". Author Guoliang He, Yong Duan, Rong Peng, Xiaoyuan Jing…
  ☆9Updated 2 years ago
• jeanjerome / semisupervised_timeseries_infogan
  A tensorflow implementation of informative generative adversarial network (InfoGAN ) to one dimensional ( 1D ) time series data with a su…
  ☆29Updated 6 years ago
• yangysc / Wavelet-HFCM
  This repository is the source code for Wavelet-HFCM of the paper 'Time Series Forecasting based on High-Order Fuzzy Cognitive Maps and Wa…
  ☆54Updated 2 years ago
• OmkarThawakar / Self-Learning-Robot
  Reinforcement Training of Robot
  ☆11Updated 5 years ago
• bhpfelix / PyTorch-Time-Series-Classification-Benchmarks
  Time Series Classification Benchmark with LSTM, VGG, ResNet
  ☆59Updated 7 years ago
• ZhaoZhibin / Physionet2020model
  ☆12Updated last year
• zhaoyizhaoyi / icdm_wavelet_attention
  combine wavelet transform and attention mechanism for time series forecasting or classification
  ☆29Updated 6 years ago
• wangshanshanAHU / MCTL
  Transfer Learning
  ☆10Updated 6 years ago
• nghia9691 / OSDN
  Try Openmax with MNIST Fashion dataset
  ☆11Updated 6 years ago
• kbhartiya / CIFAR10-Classifier
  Comparing CNN+Softmax with CNN+SVM on CIFAR 10 Dataset
  ☆14Updated 6 years ago
• sveinnpalsson / semivaebrats
  Semi-supervised variational autoencoder for survival prediction
  ☆14Updated last year
• wentaozhu / Hierarchical-ELM-Network
  IJCNN 2015 Hierarchical extreme learning machine for unsupervised representation learning
  ☆26Updated 6 years ago
• tsxce / Moment-Matching-for-Multi-Source-Domain-Adaptation-M3SDA
  This code was finished before source code hasn't been released.
  ☆26Updated 5 years ago
• artemik / fuzzy-neural-network-tsk
  Fuzzy Neural Network TSK (Takagi-Sugeno-Kang) with hybrid training and C-Means clustering.
  ☆7Updated 7 years ago
• yongyixiao / Broad-learning-system
  ☆27Updated 6 years ago