🎲 Iterable dataset resampling in PyTorch
MIT License
A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch
My solution to Kaggle challenge "IEEE Camera Model Identification" [top 3%]
A (PyTorch) imbalanced dataset sampler for oversampling low frequent classes and undersampling hi...
[CVPR2020] Adversarial Latent Autoencoders
An unofficial styleguide and best practices summary for PyTorch
2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.
This repository contains demos I made with the Transformers library by HuggingFace.
The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relat...
batchboost is a variation on MixUp that instead of mixing just two images, mixes many images toge...
A versatile framework for 3D machine learning built on Pytorch Lightning and Hydra [looking for c...
Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick...
Ready-to-use code and tutorial notebooks to boost your way into few-shot learning for image class...
Torchmetrics - Machine learning metrics for distributed, scalable PyTorch applications.
Kaggle Humpback whale identification: 2xGPU Data augmentation + FP16 mixed precision training
A Native-PyTorch Library for LLM Fine-tuning