tiny-imagenet
There are 17 repositories under tiny-imagenet topic.
alvinwan/neural-backed-decision-trees
Making decision trees competitive with neural networks on CIFAR10, CIFAR100, TinyImagenet200, Imagenet
lvyilin/pytorch-fgvc-dataset
PyTorch custom dataset APIs -- CUB-200-2011, Stanford Dogs, Stanford Cars, FGVC Aircraft, NABirds, Tiny ImageNet, iNaturalist2017
rmccorm4/Tiny-Imagenet-200
🔬 Some personal research code on analyzing CNNs. Started with a thorough exploration of Stanford's Tiny-Imagenet-200 dataset.
DennisHanyuanXu/Tiny-ImageNet
Image classification on Tiny ImageNet
ShowLo/MobileNetV3
An implementation of MobileNetV3 with pyTorch
AsafShul/PoDD
Official PyTorch Implementation for the "Distilling Datasets Into Less Than One Image" paper.
tiger2017/MLclf
mini-imagenet and tiny-imagent dataset transformation for traditional classification task and also for the format for few-shot learning / meta-learning tasks
sian-chen/PyTorch-ECGAN
The code for the NeurIPS 2021 paper "A Unified View of cGANs with and without Classifiers".
slipnitskaya/image-tagger
Android App for automated image annotation. The accompanying article is available under the link below.
Dorian25/colorization-transformer-experimental
Implémentation du papier Colorization Transformer (ICLR 2021) - Version Expérimentale
wgcban/mix-bt
Official PyTorch Implementation of Guarding Barlow Twins Against Overfitting with Mixed Samples
Daniel-EST/deep-steganography
A Steganography model that uses Deep Learning in order to hide secret images within covers, making it impossible to be deciphered by the naked eye.
tonywu71/image-matching-triplet-loss
Tensorflow implementation of Image Matching with Triplet Loss on the Tiny ImageNet dataset.
SoniSiddharth/Merged-GHCIDR
Merged Geometrical Homogeneous Clustering for Image Data Reduction. An algorithm to reduce large image datasets maintaining similar accuracy.
untitledunmastered1998/DistillationLab
Image Classification Training Framework for Network Distillation
Vishal-V/Tiny-ImageNet-Challenge
Code and final submission for the Tiny ImageNet Challenge. Trained on Google colab and finished top 5 among 1072 participants
BPrasad123/EVA_TinyImageNet_Challenge
Challenge: Apply advanced computer vision concepts (CNN only) and beat state-of-the-art using constrained resources and concepts.