Implementing Searching for MobileNetV3 paper using Pytorch
-
Updated
Jul 4, 2019 - Python
Implementing Searching for MobileNetV3 paper using Pytorch
A PyTorch implementation for PyramidNets (Deep Pyramidal Residual Networks, https://arxiv.org/abs/1610.02915)
ResNet with Shift, Depthwise, or Convolutional Operations for CIFAR-100, CIFAR-10 on PyTorch
Comparison of Generative Models in Tensorflow
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
A numpy based CNN implementation for classifying images
Collections of self-supervised methods, based on cvpods.
An implementation of MobileNetV3 with pyTorch
CIFAR 10 image dataset
CapsNet reference from : https://github.com/XifengGuo/CapsNet-Keras
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
Performance comparison of ACGAN, BEGAN, CGAN, DRAGAN, EBGAN, GAN, infoGAN, LSGAN, VAE, WGAN, WGAN_GP on cifar-10
Add a description, image, and links to the cifar-10 topic page so that developers can more easily learn about it.
To associate your repository with the cifar-10 topic, visit your repo's landing page and select "manage topics."