There are 4 repositories under cifar-10 topic.
CAI NEURAL API - Pascal based deep learning neural network API optimized for AVX, AVX2 and AVX512 instruction sets plus OpenCL capable devices including AMD, Intel and NVIDIA.
Implementing Searching for MobileNetV3 paper using Pytorch
A PyTorch implementation for PyramidNets (Deep Pyramidal Residual Networks, https://arxiv.org/abs/1610.02915)
A curated list of dedicated resources and applications
Release of CIFAR-10.1, a new test set for CIFAR-10.
pytorch and cifar10
Keras implementations of Generative Adversarial Networks. GANs, DCGAN, CGAN, CCGAN, WGAN and LSGAN models with MNIST and CIFAR-10 datasets.
ResNet with Shift, Depthwise, or Convolutional Operations for CIFAR-100, CIFAR-10 on PyTorch
image classification with CIFAR10 dataset w/ Tensorflow
Using Capsule Networks in GANS to generate very realistic fake images that could perhaps be used for deepfakes
Torch implementation of the paper "Deep Pyramidal Residual Networks" (https://arxiv.org/abs/1610.02915).
Comparison of Generative Models in Tensorflow
15+ Machine/Deep Learning Projects in Ipython Notebooks
Implementing Randomly Wired Neural Networks for Image Recognition, Using CIFAR-10 dataset, CIFAR-100 dataset
Generative Adversarial Networks in TensorFlow 2.0
VAE with RealNVP prior and Super-Resolution VAE in PyTorch. Code release for https://arxiv.org/abs/2006.05218.
PyTorch implementation of "Contrast to Divide: self-supervised pre-training for learning with noisy labels"
sensAI: ConvNets Decomposition via Class Parallelism for Fast Inference on Live Data
Capsule GAN: Unsupervised representation learning with CapsNet based Generative Adversarial Networks
Use the famous CIFAR-10 dataset to train a multi-layer neural network to recognize images of cats, dogs, and other things.
Federated Learning: Parameter Server doing aggregation of updates to a model coming from clients participating in a Federated Learning setup. See also the Android application companion at https://github.com/mccorby/PhotoLabeller
An implementation of MobileNetV3 with pyTorch
Train DenseNet on Cifar-10 based on Keras
AlexNet model from ILSVRC 2012
In this part, I've introduced and experimented with ways to interpret and evaluate models in the field of image. (Pytorch)
Some example projects that was made using Tensorflow (mostly). This repository contains the projects that I've experimented-tried when I was new in Deep Learning.
CapsNet reference from : https://github.com/XifengGuo/CapsNet-Keras
Performance comparison of ACGAN, BEGAN, CGAN, DRAGAN, EBGAN, GAN, infoGAN, LSGAN, VAE, WGAN, WGAN_GP on cifar-10
Implementation of "Cost-Effective Active Learning for Deep Image Classification" paper
Implementation of "Fully Learnable Group Convolution for Acceleration of Deep Neural Networks", CVPR'19
Predict CIFAR-10 labels with 88% accuracy using keras.