junyuseu / pytorch-cifar-models
3.41% and 17.11% error on CIFAR-10 and CIFAR-100
☆331Updated 6 years ago
Alternatives and similar repositories for pytorch-cifar-models:
Users that are interested in pytorch-cifar-models are comparing it to the libraries listed below
- This is the PyTorch implementation of VGG network trained on CIFAR10 dataset☆348Updated 5 years ago
- Best CIFAR-10, CIFAR-100 results with wide-residual networks using PyTorch☆465Updated 5 years ago
- NAS-Bench-201 API and Instruction☆626Updated 4 years ago
- Wide Residual Networks (WideResNets) in PyTorch☆337Updated 3 years ago
- 2.56%, 15.20%, 1.30% on CIFAR10, CIFAR100, and SVHN https://arxiv.org/abs/1708.04552☆549Updated 4 years ago
- PyTorch implementation of AlexNet☆127Updated 7 years ago
- Implementation of the mixup training method☆465Updated 6 years ago
- A PyTorch implementation for PyramidNets (Deep Pyramidal Residual Networks, https://arxiv.org/abs/1610.02915)☆273Updated 4 years ago
- Soft Filter Pruning for Accelerating Deep Convolutional Neural Networks☆378Updated 5 years ago
- Reproduces ResNet-V3 with pytorch☆512Updated 4 years ago
- ConvNet training using pytorch☆346Updated 4 years ago
- Multi-Scale Dense Networks for Resource Efficient Image Classification (ICLR 2018 Oral)☆461Updated 5 years ago
- CondenseNet: Light weighted CNN for mobile devices☆694Updated 5 years ago
- BlockDrop: Dynamic Inference Paths in Residual Networks☆142Updated 2 years ago
- Label Refinery: Improving ImageNet Classification through Label Progression☆279Updated 6 years ago
- Code for SkipNet: Learning Dynamic Routing in Convolutional Networks (ECCV 2018)☆239Updated 5 years ago
- Pytorch Implementation of: "Exploring Randomly Wired Neural Networks for Image Recognition"☆275Updated 5 years ago
- TensorFlow Implementation of Deep Mutual Learning☆321Updated 6 years ago
- FitNets: Hints for Thin Deep Nets☆204Updated 9 years ago
- Implements quantized distillation. Code for our paper "Model compression via distillation and quantization"☆332Updated 6 months ago
- Pruning Neural Networks with Taylor criterion in Pytorch☆315Updated 5 years ago
- MSDNet☆190Updated 3 years ago
- Code for the NuerIPS'19 paper "Gate Decorator: Global Filter Pruning Method for Accelerating Deep Convolutional Neural Networks"☆196Updated 4 years ago
- Codes for our paper "Progressive Differentiable Architecture Search:Bridging the Depth Gap between Search and Evaluation"☆362Updated 5 years ago
- MetaPruning: Meta Learning for Automatic Neural Network Channel Pruning. In ICCV 2019.☆353Updated 4 years ago
- A plug-in replacement for DataLoader to load Imagenet disk-sequentially in PyTorch.☆238Updated 3 years ago
- PyTorch implementation of PNASNet-5 on ImageNet☆317Updated 2 years ago
- Impementation of MobileNetV2 in pytorch☆271Updated 6 years ago
- Single-Path NAS: Designing Hardware-Efficient ConvNets in less than 4 Hours☆396Updated 4 years ago
- ☆213Updated 6 years ago