Yonghongwei / Gradient-CentralizationLinks
A New Optimization Technique for Deep Neural Networks
☆538Updated 3 years ago
Alternatives and similar repositories for Gradient-Centralization
Users that are interested in Gradient-Centralization are comparing it to the libraries listed below
Sorting:
- Standardizing weights to accelerate micro-batch training☆548Updated 3 years ago
- MEAL V2: Boosting Vanilla ResNet-50 to 80%+ Top-1 Accuracy on ImageNet without Tricks. In NeurIPS 2020 workshop.☆696Updated 3 years ago
- lookahead optimizer (Lookahead Optimizer: k steps forward, 1 step back) for pytorch☆336Updated 5 years ago
- 🛠 Toolbox to extend PyTorch functionalities☆421Updated last year
- Code for paper☆560Updated 3 years ago
- A PyTorch implementation of " EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks."☆313Updated 5 years ago
- Implementation of the mixup training method☆466Updated 6 years ago
- PyTorch implementation of AutoAugment.☆159Updated 4 years ago
- Official Pytorch Implementation of "TResNet: High-Performance GPU-Dedicated Architecture" (WACV 2021)☆475Updated 5 months ago
- Efficient Learning of Augmentation Policy Schedules☆507Updated 5 years ago
- PyTorch DataLoaders implemented with DALI for accelerating image preprocessing☆881Updated 4 years ago
- Implementation of DropBlock: A regularization method for convolutional networks in PyTorch.☆596Updated 4 years ago
- Official implementation of 'FMix: Enhancing Mixed Sample Data Augmentation'☆336Updated 4 years ago
- Pytorch implementation of newly added convolution☆587Updated 5 years ago
- Stochastic Weight Averaging in PyTorch☆974Updated 3 years ago
- Pytorch implementation of the paper "Class-Balanced Loss Based on Effective Number of Samples"☆798Updated last year
- torchsummaryX: Improved visualization tool of torchsummary☆303Updated 3 years ago
- Implementing Stand-Alone Self-Attention in Vision Models using Pytorch☆455Updated 5 years ago
- Implementation of LambdaNetworks, a new approach to image recognition that reaches SOTA with less compute☆1,531Updated 4 years ago
- PyTorch implementation of Octave Convolution with pre-trained Oct-ResNet and Oct-MobileNet models☆294Updated 4 years ago
- Class-Balanced Loss Based on Effective Number of Samples. CVPR 2019☆611Updated 3 years ago
- Scaling and Benchmarking Self-Supervised Visual Representation Learning☆586Updated 3 years ago
- Search for RegNet using PyTorch☆315Updated 5 years ago
- Code for Noisy Student Training. https://arxiv.org/abs/1911.04252☆761Updated 4 years ago
- Official Implementation of 'Fast AutoAugment' in PyTorch.☆1,605Updated 3 years ago
- Weakly Supervised Learning On Images☆602Updated 3 years ago
- Mish Deep Learning Activation Function for PyTorch / FastAI☆161Updated 5 years ago
- 2.56%, 15.20%, 1.30% on CIFAR10, CIFAR100, and SVHN https://arxiv.org/abs/1708.04552☆549Updated 5 years ago
- Implementations of ideas from recent papers☆393Updated 4 years ago
- The official PyTorch implementation of paper BBN: Bilateral-Branch Network with Cumulative Learning for Long-Tailed Visual Recognition☆669Updated 2 years ago