Implementing Searching for MobileNetV3 paper using Pytorch
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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.
CIFAR 10 image dataset
An implementation of MobileNetV3 with pyTorch
CapsNet reference from : https://github.com/XifengGuo/CapsNet-Keras
Implementation of "Cost-Effective Active Learning for Deep Image Classification" paper
Performance comparison of ACGAN, BEGAN, CGAN, DRAGAN, EBGAN, GAN, infoGAN, LSGAN, VAE, WGAN, WGAN_GP on cifar-10
Implementation of "Fully Learnable Group Convolution for Acceleration of Deep Neural Networks", CVPR'19
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