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Search results for mnist cifar10
cifar10
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mnist
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46 search results found
Pytorch Playground
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2,366
Base pretrained models and datasets in pytorch (MNIST, SVHN, CIFAR10, CIFAR100, STL10, AlexNet, VGG16, VGG19, ResNet, Inception, SqueezeNet)
Densenet Tensorflow
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471
Simple Tensorflow implementation of Densenet using Cifar10, MNIST
Trades
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459
TRADES (TRadeoff-inspired Adversarial DEfense via Surrogate-loss minimization)
Largemargin_softmax_loss
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297
Implementation for <Large-Margin Softmax Loss for Convolutional Neural Networks> in ICML'16.
Nnpulearning
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253
Non-negative Positive-Unlabeled (nnPU) and unbiased Positive-Unlabeled (uPU) learning reproductive code on MNIST and CIFAR10
Awesome Tensorlayer
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212
A curated list of dedicated resources and applications
Tf Vqvae
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205
Tensorflow Implementation of the paper [Neural Discrete Representation Learning](https://arxiv.org/abs/1711.00937) (VQ-VAE).
Generative_adversarial_networks_101
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190
Keras implementations of Generative Adversarial Networks. GANs, DCGAN, CGAN, CCGAN, WGAN and LSGAN models with MNIST and CIFAR-10 datasets.
Tripletnet
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174
Deep metric learning using Triplet network
Efficientnet Pytorch
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108
A PyTorch implementation of "EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks".
Tensorflow
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101
从入门到精通!学习tensorflow的过程,记录一些模型:mnist_ml LeNet cifar10_cnn
Generative Models
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92
Comparison of Generative Models in Tensorflow
Caffe Parallel
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81
Badnets Pytorch
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70
Simple PyTorch implementations of Badnets on MNIST and CIFAR10.
Label Embedding Network
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68
Label Embedding Network
Deepfakecapsulegan
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62
Using Capsule Networks in GANS to generate very realistic fake images that could perhaps be used for deepfakes
Visualizingndf
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61
Official PyTorch implementation of "Visualizing the Decision-making Process in Deep Neural Decision Forest", CVPR 2019 Workshops on Explainable AI
Gans 2.0
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60
Generative Adversarial Networks in TensorFlow 2.0
Learning_with_signatures
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54
Learning with Signatures
Capsgan
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43
Unsupervised representation learning with CapsNet based Generative Adversarial Networks
Parle
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38
Nice_pytorch
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36
Nonlinear Independent Components Estimation (Dinh et al, 2014) in PyTorch.
Relativistic Average Gan Keras
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36
The implementation of Relativistic average GAN with Keras
Randwire_tensorflow
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29
tensorflow implementation of Exploring Randomly Wired Neural Networks for Image Recognition
Bayesbinn
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28
Code for the paper "Training Binary Neural Networks with Bayesian Learning Rule
Cnn From Scratch
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27
Convolutional Neural Network implemented from Scratch for MNIST and CIFAR-10 datasets.
Cnn Compression Performance
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24
A python script that automatise the training of a CNN, compress it through tensorflow (or ristretto) plugin, and compares the performance of the two networks
Tensorbag
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24
Collection of tensorflow notebooks tutorials for implementing the most important Deep Learning algorithms.
Theano Xnor Net
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23
Theano implementation of XNOR-Net
Datumio
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22
Real-time augmentation of data for inputs into deep learning models.
Learning Tensorflow
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18
Simple Tensorflow tutorials for learning by example
Whitebox Part1
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16
In this part, i've introduced and experimented with ways to interpret and evaluate models in the field of image. (Pytorch)
Tensorflow Helloworld
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16
Ape Gan
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15
Tensorflow implementation of Our APE-GAN
Deeplearning Mpo
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15
Replace FC2, LeNet-5, VGG, Resnet, Densenet's full-connected layers with MPO
Vgrow
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14
VGrow for deep generative learning
Image Defect Detection Based On Cnn
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14
TensorBasicModel
Cifar Autoencoder
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13
A look at some simple autoencoders for the Cifar10 dataset, including a denoising autoencoder. Python code included.
Turing Gan
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13
Source code for "Training Generative Adversarial Networks Via Turing Test".
Raregan
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12
[AAAI 2022] RareGAN: Generating Samples for Rare Classes
Deepsupervisedhashing
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11
The Deep Supervised Hashing for Image Retrieval on CIFAR10/MNIST/Fashion-MNIST
S4tf Notebooks
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10
Notebooks demonstrating Swift for TensorFlow projects
Projects
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10
This is the repository containing machine learning and deep learning projects, as well as some presentation slides on these topics.
Sharplearning.examples
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10
Code examples for SharpLearning
Sa_dnn
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10
Sensitivity Analysis of Deep Neural Networks (AAAI-19 paper)
Pytorch Demo
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8
A small demo for training cnn with pytorch.
Datasets
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8
Scripts for downloading, preprocessing, and numpy-ifying popular machine learning datasets
Trainableactivation
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7
Implementation for the article "Trainable Activations for Image Classification"
Pytorch Classification
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7
Pytorch model for classification
Deep Multi Sphere Svdd
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7
Pytorch Deep Learning
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6
GTSRB (Traffic sign), MNIST, CIFAR image classification and other good starting point
Bmxnet V2 Examples
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6
Examples for BMXNet v2 (https://github.com/hpi-xnor/BMXNet-v2)
Poisoning Attack
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5
Neopulse_examples
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5
Model training examples for NeoPulse AI Studio AMI
Deepmodels Mnist Cifar10 Tensorflow
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5
Implementations of gans, ae, and vae using Tensorflow.
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