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some old code that i wrote, might be useful to others
A scientific and useful toolbox, which contains practical and effective long-tail related tricks with extensive experimental results
A codebase and a curated list of awesome deep long-tailed learning (TPAMI 2023).
The repository for "Label Augmentation as Inter-class Data Augmentation for Conditional Image Synthesis with Imbalanced Data," WACV 2024
Unofficial implementation of ECCV 2020 paper "Feature Space Augmentation for Long-Tailed Data"
A Python library for audio data augmentation. Inspired by albumentations. Useful for machine learning.
Pytorch implementation of convolutional neural network visualization techniques
A PyTorch-based library for semi-supervised learning (NeurIPS'21)
PyHessian is a Pytorch library for second-order based analysis and training of Neural Networks
Official Codes and Pretrained Models for RecursiveMix
[ICCV 2023] Shrinking Class Space for Enhanced Certainty in Semi-Supervised Learning
Official Implementation of AlignMixup - CVPR 2022
A Pytorch implementation of the paper : SpecAugment++: A Hidden Space Data Augmentation Method for Acoustic Scene Classification
A set of audio augmentation techniques to perform noise insertion in datasets used for Automatic Speech Recognition.
Improving Recording Device Generalization using Impulse Response Augmentation
This is the official implementation of TrivialAugment and a mini-library for the application of multiple image augmentation strategies including RandAugment and TrivialAugment.
Unofficial PyTorch Reimplementation of RandAugment.
Global- and local-aware feature augmentation with semantic orthogonality for few-shot image classification (Pattern Recognition 2023)
[ICCV 2023] MADAug: When to Learn What: Model-Adaptive Data Augmentation Curriculum
Implementation of State-of-the-art Text Classification Models in Pytorch
Text classification using deep learning models in Pytorch
[NeurIPS 2021] A Geometric Analysis of Neural Collapse with Unconstrained Features