Alternatives and similar repositories for MNIST

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

• realWang-Wei / BroadLearningSystem
  here is the introduce of bls
  ☆72Updated 4 years ago
• qqsuhao / GANomaly-MvTec-grid
  pytorch
  ☆13Updated 4 years ago
• LitoNeo / pytorch-AutoEncoders
  Autoencoders in PyTorch
  ☆102Updated 6 years ago
• mnikitin / channel-attention
  Gluon implementation of channel-attention modules: SE, ECA, GCT
  ☆42Updated 4 years ago
• LiangjunFeng / Broad-Learning-System
  BLS Code
  ☆127Updated 6 years ago
• zhangkaifang / CBAM-TensorFlow2.0
  CBAM(Convolutional Block Attention Module) implementation on TensowFlow2.0
  ☆74Updated 4 years ago
• elbuco1 / CBAM
  CBAM: Convolutional Block Attention Module for CIFAR10 on ResNet backbone with Pytorch
  ☆125Updated 6 years ago
• arp95 / cbam_cnn_architectures_image_classification
  Spatial and Channel Attention in CNN Architectures for Image Classification task
  ☆27Updated 5 years ago
• yongyixiao / Broad-learning-system
  ☆27Updated 7 years ago
• thanhkaist / AttentionResnet
  Classification with backbone Resnet and attentions: SE-Channel Attention, BAM - (Spatial Attention, Channel Attention, Joint Attention), …
  ☆62Updated 5 years ago
• zhao62 / Deep-Residual-Shrinkage-Networks
  The deep residual shrinkage network is a variant of deep residual networks.
  ☆487Updated 2 months ago
• kbhartiya / CIFAR10-Classifier
  Comparing CNN+Softmax with CNN+SVM on CIFAR 10 Dataset
  ☆14Updated 6 years ago
• JaimeTang / PyTorch-and-TransferLearning
  基于PyTorch使用迁移学习完成项目
  ☆61Updated 7 years ago
• v3551G / Imaging_sequence_data
  ☆23Updated 4 years ago
• whyre788 / GAN-1D
  using WGAN to generate fault bearing vibration signals
  ☆51Updated 7 years ago
• AhmedFrikha / Few-Shot-One-Class-Classification-via-Meta-Learning
  A Meta-Learning Approach for Few-Shot Anomaly Detection and One-Class Classification
  ☆37Updated 3 years ago
• jianzhuwang / dec-pytorch
  ☆16Updated 7 years ago
• agrija9 / Deep-Unsupervised-Domain-Adaptation
  Pytorch implementation of four neural network based domain adaptation techniques: DeepCORAL, DDC, CDAN and CDAN+E. Evaluated on benchmark…
  ☆92Updated 4 years ago
• iamyuanchung / csdnn
  Theano implementation of Cost-Sensitive Deep Neural Networks
  ☆26Updated 7 years ago
• Hyfred / gan-torch
  gan_torch (cpu & gpu)
  ☆30Updated 4 years ago
• qqsuhao / skip-GANomaly-MvTec-grid
  ☆24Updated 4 years ago
• Daipuwei / DANN-MNIST
  这是论文Unsupervised Domain Adaptation by Backpropagation的复现代码，并完成了MNIST与MNIST-M数据集迁移，master和tf2分支代码为是基于tf2.x，tf1分支代码基于tf1.x
  ☆64Updated 4 years ago
• zangzelin / Auto-encoder-AE-SAE-DAE-CAE-DAE-with-keras-in-Mnist-and-report
  ☆54Updated 6 years ago
• mahdiabavisani / DSRC
  Tensorflow implementation of "Deep sparse representation-based classification"
  ☆45Updated 6 years ago
• Larry-zx / HAM
  Hybrid attention module
  ☆25Updated 3 years ago
• oyxhust / wgan-gp-anomaly
  gan, wgan-gp, anomaly detection, unsupervised, pytorch
  ☆129Updated 6 years ago
• ashishpatel26 / PSO-TF2
  PSO On neural Network and LSTM
  ☆19Updated 4 years ago
• lyy0908 / t-SNE-CNN
  对卷积神经网络提取的每一层特征用t-SNE进行降维可视化
  ☆22Updated 3 years ago
• bubbliiiing / Keras-Attention
  这个仓库主要包含了LSTM、卷积神经网络中，注意力机制的实现。
  ☆136Updated 4 years ago
• Jyukai02 / Gated-Transformer-on-MTS
  使用改良的Transformer模型应用于多维时间序列的分类任务上
  ☆23Updated 4 years ago