A (PyTorch) imbalanced dataset sampler for oversampling low frequent classes and undersampling high frequent ones.
MIT License
My solution to Kaggle challenge "IEEE Camera Model Identification" [top 3%]
A Pytorch Computer Vision template to quick start your next project! 🚀🚀
Exploration of Self-Semi-Supervised learning for handling unlabeled data
PyTorch extensions for fast R&D prototyping and Kaggle farming
Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick...
Utilities for scikit-learn. Append prediction to x, append prediction to x single, append x predi...
While using pytorch library and cat dog dataset, I tried to preserve clean code. Some extra prope...
Amazon Forest Computer Vision: Satellite Image tagging code using PyTorch / Keras with lots of Py...
Ready-to-use code and tutorial notebooks to boost your way into few-shot learning for image class...
Transparent and reproducible medical image processing pipelines in Python.
🎲 Iterable dataset resampling in PyTorch
A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch
batchboost is a variation on MixUp that instead of mixing just two images, mixes many images toge...
My research code to setup and train PyTorch deep nets.
PyTorch dataset extended with map, cache etc. (tensorflow.data like)