Official PyTorch Implementation for the "Distilling Datasets Into Less Than One Image" paper.
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Updated
Jun 6, 2024 - Python
Official PyTorch Implementation for the "Distilling Datasets Into Less Than One Image" paper.
Official PyTorch Implementation of Guarding Barlow Twins Against Overfitting with Mixed Samples
Image classification on Tiny ImageNet
Making decision trees competitive with neural networks on CIFAR10, CIFAR100, TinyImagenet200, Imagenet
mini-imagenet and tiny-imagent dataset transformation for traditional classification task and also for the format for few-shot learning / meta-learning tasks
PyTorch custom dataset APIs -- CUB-200-2011, Stanford Dogs, Stanford Cars, FGVC Aircraft, NABirds, Tiny ImageNet, iNaturalist2017
Image Classification Training Framework for Network Distillation
The code for the NeurIPS 2021 paper "A Unified View of cGANs with and without Classifiers".
Merged Geometrical Homogeneous Clustering for Image Data Reduction. An algorithm to reduce large image datasets maintaining similar accuracy.
Implémentation du papier Colorization Transformer (ICLR 2021) - Version Expérimentale
An implementation of MobileNetV3 with pyTorch
🔬 Some personal research code on analyzing CNNs. Started with a thorough exploration of Stanford's Tiny-Imagenet-200 dataset.
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