Alternatives and similar repositories for GA-CNN:

Users that are interested in GA-CNN are comparing it to the libraries listed below

• sumanth-bmsce / Deep-Neural-Network-for-Clustering
  Autoencoders - a deep neural network was used for feature extraction followed by clustering of the "Cancer" dataset using k-means techni…
  ☆13Updated 7 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
• kuhess / pso-ann
  Particle Swarm Optimization (PSO) to optimize Artificial Neural Network (ANN)
  ☆58Updated 10 months ago
• snatch59 / cnn-svm-classifier
  Using Tensorflow and a Support Vector Machine to Create an Image Classifications Engine
  ☆61Updated 6 years ago
• titu1994 / LSTM-FCN-Ablation
  Repository for the ablation study of "Long Short-Term Memory Fully Convolutional Networks for Time Series Classification"
  ☆53Updated 6 years ago
• johnsmithm / multi-heads-attention-image-classification
  Multi heads attention for image classification
  ☆81Updated 6 years ago
• Tony607 / Focal_Loss_Keras
  Multi-class classification with focal loss for imbalanced datasets
  ☆82Updated 5 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
• fanzhenya / ResNet1D-VariableLengthPooling-For-TimeSeries
  ResNet-1D and Variable Length Pooling for time series data like speech
  ☆33Updated 6 years ago
• titu1994 / keras-attention-augmented-convs
  Keras implementation of Attention Augmented Convolutional Neural Networks
  ☆121Updated 5 years ago
• piyush2896 / PSO-for-Neural-Nets
  Particle Swarm Optimizer For Neural Network Training
  ☆56Updated 6 years ago
• hk-mp5a3 / Class-Imbalance
  Dealing with class imbalance problem in machine learning. Synthetic oversampling(SMOTE, ADASYN).
  ☆38Updated 6 years ago
• ankitvgupta / densenet_1d
  An implementation of DenseNet for 1D inputs in Keras
  ☆36Updated 7 years ago
• kaushalshetty / SMOTE
  Synthetic Minority Over-sampling Technique
  ☆38Updated 8 years ago
• ashishpatel26 / PSO-TF2
  PSO On neural Network and LSTM
  ☆19Updated 3 years 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
• shubhamjn1 / Pseudo-Labelling---A-Semi-supervised-learning-technique
  ☆61Updated 7 years ago
• murali1996 / time_series_classification_prediction
  Different deep learning architectures are implemented for time series classification and prediction purposes.
  ☆20Updated 5 years ago
• srp98 / Dimensionality-Reduction-with-Autoencoder
  Using Autoencoder for dimensionality reduction and feature extraction
  ☆15Updated 6 years ago
• suraj1ly / Deep-RL-for-Imbalanced-Classification
  Deep Reinforcement Learning for Imbalanced Classification
  ☆19Updated 5 years ago
• YuqiCui / TSK-FS
  Takagi-Sugeno-Kang Fuzzy System
  ☆16Updated 4 years ago
• SophiaWJ / Transfer-learning
  Transfer Knowledge Learned from Multiple Domains for Time-series Data Prediction
  ☆11Updated 6 years ago
• zhulei227 / Stacking_Ensembles
  Stacking classification and regression
  ☆22Updated 5 years ago
• acba / elm
  Python Extreme Learning Machine (ELM) is a machine learning technique used for classification/regression tasks.
  ☆93Updated 3 years ago
• pochih / MNIST-multitask
  6️⃣6️⃣6️⃣ Reproduce ICLR '18 under-reviewed paper "MULTI-TASK LEARNING ON MNIST IMAGE DATASETS"
  ☆41Updated 6 years ago
• ipazc / lstm_autoencoder
  LSTM Autoencoder that works with variable timesteps
  ☆15Updated 6 years ago
• dawidkopczyk / genetic
  Genetic algorithm used in feature selection
  ☆30Updated 4 years ago
• sourajitcs / Residual-Attention-Convolutional-Neural-Network
  It contains the Attention-56 and Attention-96 models built from scratch in keras. Residual Attention Networks are described in the paper …
  ☆38Updated 6 years ago
• vivekam101 / PSO-SVM
  demonstrate pso-svm in python
  ☆15Updated 5 years ago
• Tony607 / Keras_BayesianOptimization
  How to do Hyper-parameters search with Bayesian optimization for Keras model | DLology
  ☆17Updated 5 years ago