Open-source framework for uncertainty and deep learning models in PyTorch 🌱
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Updated
Jun 7, 2024 - Python
Open-source framework for uncertainty and deep learning models in PyTorch 🌱
[IEEE TMI 2024] Pseudo-Bag Mixup Augmentation for Multiple Instance Learning-Based Whole Slide Image Classification
Cambridge UK temperature forecast python notebooks
[IJCAI 2023] Co-training with High-Confidence Pseudo Labels for Semi-supervised Medical Image Segmentation
🛠 Toolbox to extend PyTorch functionalities
Official implementation of Any Region Can Be Perceived Equally and Effectively on Rotation Pretext Task Using Full Rotation and Weighted-Region Mixture
PyTorch implementation of 'ViT' (Dosovitskiy et al., 2020) and training it on CIFAR-10 and CIFAR-100
Awesome List of Mixup Augmentation Papers for Visual Representation Learning
Classification using Vision Transformers (ViT) and MixUp Augmentation
[TAI 2023] Contrastive Domain Adaptation for Time-Series via Temporal Mixup
CAIRI Supervised, Semi- and Self-Supervised Visual Representation Learning Toolbox and Benchmark
A handy data augmentation toolkit for image classification put in a single efficient TensorFlow/PyTorch op.
Image Classification Using Swin Transformer With RandAugment, CutMix, and MixUp
TextAugment: Text Augmentation Library
Official PyTorch Implementation of Guarding Barlow Twins Against Overfitting with Mixed Samples
[IJCAI 2023] Co-training with High-Confidence Pseudo Labels for Semi-supervised Medical Image Segmentation
[Practical-DL @ AAAI'23] Official code of R-Mix and RL-Mix, accepted at 2nd Practical-DL Workshop @ AAAI'23
Faster large mini-batch distributed training w/o. squeezing devices
Code for the ACL 2023 long paper "Composition-contrastive Learning for Sentence Embeddings"
Code for our paper on MTDA for point clouds accepted at CVPR (W) 2023.
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