Alternatives and similar repositories for svm_mnist_digit_classification

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

• ajtulloch / svmpy
  Basic soft-margin kernel SVM implementation in Python
  ☆261Updated 9 years ago
• jaimeps / adaboost-implementation
  Implementation of AdaBoost algorithm in Python
  ☆181Updated 9 years ago
• zonghua94 / mnist
  mnist classification with tensorflow ( nn, cnn, lstm, nlstm, bi-lstm, cnn-rnn)
  ☆109Updated 8 years ago
• LasseRegin / SVM-w-SMO
  Simple implementation of a Support Vector Machine using the Sequential Minimal Optimization (SMO) algorithm for training.
  ☆120Updated 7 years ago
• AFAgarap / cnn-svm
  An Architecture Combining Convolutional Neural Network (CNN) and Linear Support Vector Machine (SVM) for Image Classification
  ☆397Updated 2 years ago
• ahmedfgad / NumPyCNN
  Building Convolutional Neural Networks From Scratch using NumPy
  ☆596Updated 2 years ago
• hwalsuklee / tensorflow-mnist-cnn
  MNIST classification using Convolutional NeuralNetwork. Various techniques such as data augmentation, dropout, batchnormalization, etc ar…
  ☆204Updated 7 years ago
• MorvanZhou / Tensorflow-Computer-Vision-Tutorial
  Tutorials of deep learning for computer vision.
  ☆214Updated 5 years ago
• hjptriplebee / AlexNet_with_tensorflow
  an implement of AlexNet with tensorflow, which has a detailed explanation.
  ☆150Updated 7 years ago
• HansRen1024 / SVM-classification-localization
  HoG, PCA, PSO, Hard Negative Mining, Sliding Window, Edge Boxes, NMS
  ☆170Updated last year
• 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…
  ☆71Updated 2 years ago
• mmxmb / keras_ensemblng
  Ensembling ConvNets using Keras
  ☆75Updated 6 years ago
• Abhishek-Arora / Image-Classification-Using-SVM
  This application uses LIBSVM and PIL to perform image classification on a set of images.
  ☆89Updated 9 years ago
• mtyylx / MLND
  Udacity Machine Learning Nano Degree Courses
  ☆202Updated 7 years ago
• conan7882 / GoogLeNet-Inception
  TensorFlow implementation of GoogLeNet and Inception for image classification.
  ☆295Updated 5 years ago
• suraj-deshmukh / Keras-Multi-Label-Image-Classification
  Keras- Multi Label Image Classification
  ☆401Updated 4 years ago
• Shicoder / DeepLearning_Demo
  深度学习入门的一些简单例子
  ☆355Updated 6 years ago
• xiaochus / VisualizationCNN
  Visualization CNN model by Keras.
  ☆73Updated 7 years ago
• ganyc717 / LeNet
  Implement the LeNet using tensorflow to recognize handwritten number. Training with MNIST.
  ☆77Updated 8 years ago
• aqibsaeed / Genetic-CNN
  CNN architecture exploration using Genetic Algorithm
  ☆222Updated 3 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…
  ☆99Updated 7 years ago
• sorenbouma / keras-oneshot
  koch et al, Siamese Networks for one-shot learning, (mostly) reimplimented in keras
  ☆373Updated 6 years ago
• tsycnh / Keras-Tutorials
  一个面向初学者的，友好的Keras入门教程
  ☆122Updated 6 years ago
• JudasDie / deeplearning.ai
  Some work of Andrew Ng's course on Coursera
  ☆714Updated 7 years ago
• healthDataScience / deep-learning-HAR
  Convolutional and LSTM networks to classify human activity
  ☆465Updated 6 years ago
• kaushiksk / RBM_DBN
  Experimenting with RBMs using scikit-learn on MNIST and simulating a DBN using Keras.
  ☆33Updated 8 years ago
• xingkongliang / Keras-Tutorials
  Keras-Tutorials
  ☆172Updated 9 years ago
• soloice / SVM-python
  Implemented SVM in Python. In particular, the SMO algorithm is implemented.
  ☆46Updated 8 years ago
• BIGBALLON / cifar-10-cnn
  Play deep learning with CIFAR datasets
  ☆835Updated 5 years ago
• kjahan / k_means
  A Python implementation of k-means clustering algorithm
  ☆184Updated 2 years ago