PistonY / torch-toolboxLinks
π Toolbox to extend PyTorch functionalities
β419Updated last year
Alternatives and similar repositories for torch-toolbox
Users that are interested in torch-toolbox are comparing it to the libraries listed below
Sorting:
- Official implementation of 'FMix: Enhancing Mixed Sample Data Augmentation'β339Updated 4 years ago
- Official Pytorch Implementation of "TResNet: High-Performance GPU-Dedicated Architecture" (WACV 2021)β478Updated 11 months ago
- MEAL V2: Boosting Vanilla ResNet-50 to 80%+ Top-1 Accuracy on ImageNet without Tricks. In NeurIPS 2020 workshop.β698Updated 3 years ago
- Implementation of DropBlock: A regularization method for convolutional networks in PyTorch.β596Updated 5 years ago
- A New Optimization Technique for Deep Neural Networksβ541Updated 3 years ago
- PyTorch implementation of AutoAugment.β161Updated 5 years ago
- Compute CNN receptive field size in pytorch in one lineβ365Updated last year
- Pytorch implementation of the paper "Class-Balanced Loss Based on Effective Number of Samples"β802Updated last year
- Unofficial PyTorch Reimplementation of RandAugment.β638Updated 2 years ago
- Official PyTorch implementation of "A Comprehensive Overhaul of Feature Distillation" (ICCV 2019)β419Updated 5 years ago
- CVPR 2020 oral paper: Overcoming Classifier Imbalance for Long-tail Object Detection with Balanced Group Softmax.β355Updated 3 years ago
- torchsummaryX: Improved visualization tool of torchsummaryβ303Updated 3 years ago
- a Ready-to-use PyTorch Extension of Unofficial CutMix Implementations with more improved performance.β170Updated 3 years ago
- Gradually-Warmup Learning Rate Scheduler for PyTorchβ993Updated last year
- lookahead optimizer (Lookahead Optimizer: k steps forward, 1 step back) for pytorchβ337Updated 6 years ago
- Knowledge Distillation: CVPR2020 Oral, Revisiting Knowledge Distillation via Label Smoothing Regularizationβ584Updated 2 years ago
- NFNets and Adaptive Gradient Clipping for SGD implemented in PyTorch. Find explanation at tourdeml.github.io/blog/β349Updated last year
- Example code showing how to use Nvidia DALI in pytorch, with fallback to torchvision. Contains a few differences to the official Nvidia β¦β198Updated 5 years ago
- β285Updated 5 years ago
- Comparison of famous convolutional neural network modelsβ325Updated 6 years ago
- PyTorch implementation of Octave Convolution with pre-trained Oct-ResNet and Oct-MobileNet modelsβ293Updated 5 years ago
- Useful PyTorch functions and modules that are not implemented in PyTorch by defaultβ189Updated last year
- Code for Noisy Student Training. https://arxiv.org/abs/1911.04252β765Updated 4 years ago
- A PyTorch implementation of " EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks."β313Updated 5 years ago
- PyTorch DataLoaders implemented with DALI for accelerating image preprocessingβ886Updated 5 years ago
- PyTorch implementations of recent Computer Vision tricks (ReXNet, RepVGG, Unet3p, YOLOv4, CIoU loss, AdaBelief, PolyLoss, MobileOne). Othβ¦β328Updated last week
- SnapMix: Semantically Proportional Mixing for Augmenting Fine-grained Data (AAAI 2021)β130Updated 4 years ago
- Pytorch implementation of network design paradigm described in the paper "Designing Network Design Spaces"β185Updated last year
- PyTorch Implementation of Focal Loss and Lovasz-Softmax Lossβ337Updated 3 years ago
- AugMix: A Simple Data Processing Method to Improve Robustness and Uncertaintyβ987Updated 6 months ago