There are 3 repositories under cifar100 topic.
Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet, NasNet, Residual Attention Network, SENet, WideResNet)
Classification with PyTorch.
A coding-free framework built on PyTorch for reproducible deep learning studies. 🏆25 knowledge distillation methods presented at CVPR, ICLR, ECCV, NeurIPS, ICCV, etc are implemented so far. 🎁 Trained models, training logs and configurations are available for ensuring the reproducibiliy and benchmark.
Making decision trees competitive with neural networks on CIFAR10, CIFAR100, TinyImagenet200, Imagenet
3.41% and 17.11% error on CIFAR-10 and CIFAR-100
Pretrained models on CIFAR10/100 in PyTorch
Reference implementation for Blueprint Separable Convolutions (CVPR 2020)
Dynamic Token Expansion with Continual Transformers, accepted at CVPR 2022
The official implementation of the ACM MM'21 paper Co-learning: Learning from noisy labels with self-supervision.
[CVPR 2021] Code for "Augmentation Strategies for Learning with Noisy Labels".
Implementation of Convolutional enhanced image Transformer
Label Embedding Network
a PyTorch Tutorial to Class-Incremental Learning | a Distributed Training Template of CIL with core code less than 100 lines.
A multibranch neural net architecture. (PyTorch)
sensAI: ConvNets Decomposition via Class Parallelism for Fast Inference on Live Data
PyTorch implementation of shake-drop regularization
💩 My pytorch neural network practice repo
Pytorch implementation of Feature Generation for Long-Tail Classification by Rahul Vigneswaran, Marc T Law, Vineeth N Balasubramaniam and Makarand Tapaswi
tensorflow implementation of Exploring Randomly Wired Neural Networks for Image Recognition
Unofficial PyTorch Implementation of "Augmenting Convolutional networks with attention-based aggregation"
NeurIPSCD2019, MicroNet Challenge hosted by Google, Deepmind Researcher, "Efficient Model for Image Classification With Regularization Tricks".
CIFAR10, CIFAR100 results with VGG16,Resnet50,WideResnet using pytorch-lightning
[NeurIPS 2022] FiLM-Ensemble: Probabilistic Deep Learning via Feature-wise Linear Modulation
PyTorch implementation of Teacher-Student Network(Knowledge Distillation).
[MentorMix] "Beyond Synthetic Noise: Deep Learning on Controlled Noisy Labels" implemented in the PyTorch version.
97.39% on CIFAR10 with PyTorch
Official Pytorch implementation of the paper: "Locally Shifted Attention With Early Global Integration"
Using CLIP for zero-shot learning and image classification with text & visual prompting.
A lightweight and extensible toolbox for image classification