nmhkahn / torchsummaryX
torchsummaryX: Improved visualization tool of torchsummary
☆302Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for torchsummaryX
- PyTorch implementation of Octave Convolution with pre-trained Oct-ResNet and Oct-MobileNet models☆291Updated 4 years ago
- Pytorch implementation of newly added convolution☆583Updated 5 years ago
- Implementation of DropBlock: A regularization method for convolutional networks in PyTorch.☆589Updated 4 years ago
- Gradually-Warmup Learning Rate Scheduler for PyTorch☆976Updated last month
- 🛠 Toolbox to extend PyTorch functionalities☆417Updated 5 months ago
- A New Optimization Technique for Deep Neural Networks☆532Updated 2 years ago
- lookahead optimizer (Lookahead Optimizer: k steps forward, 1 step back) for pytorch☆334Updated 5 years ago
- PyTorch DataLoaders implemented with DALI for accelerating image preprocessing☆880Updated 4 years ago
- Implementing Attention Augmented Convolutional Networks using Pytorch☆643Updated 2 years ago
- Slimmable Networks, AutoSlim, and Beyond, ICLR 2019, and ICCV 2019☆910Updated last year
- Code for paper☆563Updated 3 years ago
- A PyTorch implementation of " EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks."☆309Updated 4 years ago
- MEAL V2: Boosting Vanilla ResNet-50 to 80%+ Top-1 Accuracy on ImageNet without Tricks. In NeurIPS 2020 workshop.☆693Updated 2 years ago
- Implementing Stand-Alone Self-Attention in Vision Models using Pytorch☆454Updated 4 years ago
- ACNet: Strengthening the Kernel Skeletons for Powerful CNN via Asymmetric Convolution Blocks☆831Updated last year
- Compute CNN receptive field size in pytorch in one line☆349Updated 6 months ago
- Implementation of the mixup training method☆464Updated 6 years ago
- Official PyTorch implementation of "A Comprehensive Overhaul of Feature Distillation" (ICCV 2019)☆415Updated 4 years ago
- Sublinear memory optimization for deep learning. https://arxiv.org/abs/1604.06174☆589Updated 4 years ago
- Pytorch implementation of the paper "Class-Balanced Loss Based on Effective Number of Samples"☆784Updated 8 months ago
- My best practice of training large dataset using PyTorch.☆1,087Updated 6 months ago
- a pytorch lib with state-of-the-art architectures, pretrained models and real-time updated results☆859Updated 3 years ago
- Code for our CVPR 2019 paper: Selective Kernel Networks; See zhihu：https://zhuanlan.zhihu.com/p/59690223☆594Updated 5 years ago
- Unofficial PyTorch Reimplementation of RandAugment.☆628Updated last year
- Official implementation of 'FMix: Enhancing Mixed Sample Data Augmentation'☆332Updated 3 years ago
- PyTorch implementation of AutoAugment.☆157Updated 4 years ago
- Implementation of Dynamic ReLU on Pytorch☆204Updated 4 years ago
- PyTorch implementation of Deformable Convolution☆912Updated 3 years ago
- A PyTorch implementation of Xception: Deep Learning with Depthwise Separable Convolutions☆250Updated last year
- Implementation of OctConv in Pytorch (https://arxiv.org/abs/1904.05049)☆213Updated 5 years ago