Alternatives and similar repositories for GA-CNN

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

• 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…
  ☆97Updated 6 years ago
• 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
• 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
• SonbolYb / multivariate_timeseries_dilated_conv
  Multivariate Time Series Classification using Dilated Convolutional Neural Network
  ☆11Updated 5 years ago
• snatch59 / cnn-svm-classifier
  Using Tensorflow and a Support Vector Machine to Create an Image Classifications Engine
  ☆62Updated 6 years ago
• titu1994 / LSTM-FCN-Ablation
  Repository for the ablation study of "Long Short-Term Memory Fully Convolutional Networks for Time Series Classification"
  ☆54Updated 6 years ago
• titu1994 / keras-attention-augmented-convs
  Keras implementation of Attention Augmented Convolutional Neural Networks
  ☆121Updated 5 years ago
• kuhess / pso-ann
  Particle Swarm Optimization (PSO) to optimize Artificial Neural Network (ANN)
  ☆60Updated last year
• fanzhenya / ResNet1D-VariableLengthPooling-For-TimeSeries
  ResNet-1D and Variable Length Pooling for time series data like speech
  ☆33Updated 6 years ago
• Tony607 / Keras_BayesianOptimization
  How to do Hyper-parameters search with Bayesian optimization for Keras model | DLology
  ☆17Updated 6 years ago
• pochih / MNIST-multitask
  6️⃣6️⃣6️⃣ Reproduce ICLR '18 under-reviewed paper "MULTI-TASK LEARNING ON MNIST IMAGE DATASETS"
  ☆42Updated 7 years ago
• karush17 / CapsNet-1D
  1D Capsule Network for Gesture Recognition in Keras.
  ☆32Updated last year
• kaushalshetty / SMOTE
  Synthetic Minority Over-sampling Technique
  ☆39Updated 8 years ago
• Maria-Habib / GA-XGBoost-Evoloby
  ☆15Updated 4 years ago
• johnsmithm / multi-heads-attention-image-classification
  Multi heads attention for image classification
  ☆80Updated 7 years ago
• otenim / Numpy-ELM
  A Numpy Implementation of Extreme Learning Machine (ELM)
  ☆35Updated 6 years ago
• GongQin721 / keras-attention-mechanism-master
  keras注意力机制
  ☆18Updated 6 years ago
• hk-mp5a3 / Class-Imbalance
  Dealing with class imbalance problem in machine learning. Synthetic oversampling(SMOTE, ADASYN).
  ☆39Updated 6 years ago
• murali1996 / time_series_classification_prediction
  Different deep learning architectures are implemented for time series classification and prediction purposes.
  ☆20Updated 5 years ago
• dipankarsk / Feature-Selection-Hybrid
  Intrusion Detection is a technique to identify the abnormal behavior of system due to attack. The unusual behavior of the environment is …
  ☆27Updated 7 years ago
• Tony607 / Focal_Loss_Keras
  Multi-class classification with focal loss for imbalanced datasets
  ☆82Updated 5 years ago
• raemonx / PSO-FS
  Wrapper Based feature selection using Particle Swarm Optimization
  ☆12Updated 5 years ago
• bhpfelix / PyTorch-Time-Series-Classification-Benchmarks
  Time Series Classification Benchmark with LSTM, VGG, ResNet
  ☆59Updated 7 years ago
• feferna / psoCNN
  Code to validate the "Particle swarm optimization of deep neural networks architectures for image classification" paper.
  ☆93Updated 4 years ago
• mike-holcomb / PSOkeras
  Demonstration of Particle Swarm Optimization as a training algorithm for Keras neural network models as a gradient-free training alternat…
  ☆34Updated 5 years ago
• chickenbestlover / ELM-pytorch
  Extreme Learning Machine implemented in Pytorch
  ☆103Updated 7 years ago
• ShadyF / cnn-rnn-classifier
  A practical example on how to combine both a CNN and a RNN to classify images.
  ☆53Updated 8 years ago
• piyush2896 / PSO-for-Neural-Nets
  Particle Swarm Optimizer For Neural Network Training
  ☆58Updated 6 years ago
• amineremache / qbso-fs
  Python implementation of QBSO-FS : a Reinforcement Learning based Bee Swarm Optimization metaheuristic for Feature Selection problem.
  ☆59Updated 5 years ago
• efidalgo / AutoBlur-CNN-Features
  Script to extract CNN deep features with different ConvNets, and then use them for an Image Classification task with a SVM classifier wit…
  ☆31Updated 7 years ago