junyuseu / pytorch-cifar-models
3.41% and 17.11% error on CIFAR-10 and CIFAR-100
☆332Updated 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☆351Updated 6 years ago
- Best CIFAR-10, CIFAR-100 results with wide-residual networks using PyTorch☆469Updated 5 years ago
- Implementation of the mixup training method☆466Updated 6 years ago
- NAS-Bench-201 API and Instruction☆632Updated 4 years ago
- Wide Residual Networks (WideResNets) in PyTorch☆338Updated 4 years ago
- 2.56%, 15.20%, 1.30% on CIFAR10, CIFAR100, and SVHN https://arxiv.org/abs/1708.04552☆550Updated 5 years ago
- TensorFlow Implementation of Deep Mutual Learning☆322Updated 7 years ago
- PyTorch implementation of AlexNet☆127Updated 7 years ago
- Label Refinery: Improving ImageNet Classification through Label Progression☆278Updated 6 years ago
- FitNets: Hints for Thin Deep Nets☆207Updated 9 years ago
- A plug-in replacement for DataLoader to load Imagenet disk-sequentially in PyTorch.☆239Updated 3 years ago
- ConvNet training using pytorch☆345Updated 4 years ago
- Impementation of MobileNetV2 in pytorch☆273Updated 6 years ago
- BlockDrop: Dynamic Inference Paths in Residual Networks☆142Updated 2 years ago
- Soft Filter Pruning for Accelerating Deep Convolutional Neural Networks☆380Updated 5 years ago
- Reproduces ResNet-V3 with pytorch☆514Updated 4 years ago
- PyTorch implementation of Deformable Convolution☆409Updated 6 years ago
- CondenseNet: Light weighted CNN for mobile devices☆692Updated 5 years ago
- Code for SkipNet: Learning Dynamic Routing in Convolutional Networks (ECCV 2018)☆240Updated 6 years ago
- A PyTorch implementation for PyramidNets (Deep Pyramidal Residual Networks, https://arxiv.org/abs/1610.02915)☆272Updated 4 years ago
- A drop-in replacement for CIFAR-10.☆240Updated 4 years ago
- ☆213Updated 6 years ago
- Slimmable Networks, AutoSlim, and Beyond, ICLR 2019, and ICCV 2019☆917Updated 2 years ago
- Code for the NuerIPS'19 paper "Gate Decorator: Global Filter Pruning Method for Accelerating Deep Convolutional Neural Networks"☆196Updated 5 years ago
- PyTorch implementation of PNASNet-5 on ImageNet☆317Updated 2 years ago
- Implements quantized distillation. Code for our paper "Model compression via distillation and quantization"☆333Updated 9 months ago
- Multi-Scale Dense Networks for Resource Efficient Image Classification (ICLR 2018 Oral)☆460Updated 6 years ago
- MSDNet☆190Updated 3 years ago
- Synchronized Multi-GPU Batch Normalization☆223Updated 6 years ago
- PyTorch Implementation of Weights Pruning☆185Updated 7 years ago