Image Classification Training Framework for Network Distillation

Merged Geometrical Homogeneous Clustering for Image Data Reduction. An algorithm to reduce large image datasets maintaining similar accuracy.

Official PyTorch Implementation of Guarding Barlow Twins Against Overfitting with Mixed Samples

Official PyTorch Implementation for the "Distilling Datasets Into Less Than One Image" paper.

The code for the NeurIPS 2021 paper "A Unified View of cGANs with and without Classifiers".

Implémentation du papier Colorization Transformer (ICLR 2021) - Version Expérimentale

mini-imagenet and tiny-imagent dataset transformation for traditional classification task and also for the format for few-shot learning / meta-learning tasks

An implementation of MobileNetV3 with pyTorch

Image classification on Tiny ImageNet

PyTorch custom dataset APIs -- CUB-200-2011, Stanford Dogs, Stanford Cars, FGVC Aircraft, NABirds, Tiny ImageNet, iNaturalist2017

🔬 Some personal research code on analyzing CNNs. Started with a thorough exploration of Stanford's Tiny-Imagenet-200 dataset.

Making decision trees competitive with neural networks on CIFAR10, CIFAR100, TinyImagenet200, Imagenet