kevinzakka / pytorch-goodies
PyTorch Boilerplate For Research
☆603Updated 2 years ago
Related projects: ⓘ
- Code snippets created for the PyTorch discussion board☆539Updated 3 years ago
- ☆350Updated 5 years ago
- A learning rate range test implementation in PyTorch☆912Updated 3 weeks ago
- Everyday things people use in Pytorch. No need to spend hours reading Pytorch forums trying to find them!☆279Updated 2 years ago
- Gradient based receptive field estimation for Convolutional Neural Networks☆331Updated 4 years ago
- Totally Versatile Miscellanea for Pytorch☆461Updated 2 years ago
- Estimates the size of a PyTorch model in memory☆351Updated 4 years ago
- High-level batteries-included neural network training library for Pytorch☆397Updated 2 years ago
- Understanding Deep Networks via Extremal Perturbations and Smooth Masks☆341Updated 4 years ago
- Over9000 optimizer☆424Updated last year
- Stochastic Weight Averaging in PyTorch☆959Updated 3 years ago
- Gradually-Warmup Learning Rate Scheduler for PyTorch☆971Updated 3 years ago
- Visualization toolkit for neural networks in PyTorch! Demo -->☆727Updated 11 months ago
- A scalable template for PyTorch projects, with examples in Image Segmentation, Object classification, GANs and Reinforcement Learning.☆865Updated 11 months ago
- PyTorch extensions for fast R&D prototyping and Kaggle farming☆1,512Updated this week
- Compute CNN receptive field size in pytorch in one line☆348Updated 4 months ago
- Standalone TFRecord reader/writer with PyTorch data loaders☆855Updated 3 weeks ago
- Compute receptive fields of your favorite convnets☆431Updated 3 years ago
- PyTorch dataset extended with map, cache etc. (tensorflow.data like)☆328Updated 2 years ago
- Deep Learning Experiment Management☆635Updated last year
- Experimental ground for optimizing memory of pytorch models☆356Updated 6 years ago
- Standardizing weights to accelerate micro-batch training☆546Updated 2 years ago
- mixup: Beyond Empirical Risk Minimization☆1,156Updated 2 years ago
- Implementations of ideas from recent papers☆391Updated 3 years ago
- Deal with bad samples in your dataset dynamically, use Transforms as Filters, and more!☆375Updated last year
- PyTorch re-implementation of Grad-CAM (+ vanilla/guided backpropagation, deconvnet, and occlusion sensitivity maps)☆783Updated 4 years ago
- AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty☆975Updated last month
- Scaling and Benchmarking Self-Supervised Visual Representation Learning☆587Updated 2 years ago
- FrancescoSaverioZuppichini / Pytorch-how-and-when-to-use-Module-Sequential-ModuleList-and-ModuleDictCode for my medium article☆357Updated 4 years ago
- A Pytorch-Lightning implementation of self-supervised algorithms☆530Updated 2 years ago