cifar100

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. PyTorch Ecosystem. 🏆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

Pretrained models on CIFAR10/100 in PyTorch

3.41% and 17.11% error on CIFAR-10 and CIFAR-100

[AAAI 2023] Official PyTorch Code for "Curriculum Temperature for Knowledge Distillation"

Dynamic Token Expansion with Continual Transformers, accepted at CVPR 2022

Reference implementation for Blueprint Separable Convolutions (CVPR 2020)

Code for CVPR 2019 paper: " Learning Deep Compositional Grammatical Architectures for Visual Recognition"

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".

Code for You Only Cut Once: Boosting Data Augmentation with a Single Cut, ICML 2022.

Code for You Only Cut Once: Boosting Data Augmentation with a Single Cut, ICML 2022.

Implementation of Convolutional enhanced image Transformer

a PyTorch Tutorial to Class-Incremental Learning | a Distributed Training Template of CIL with core code less than 100 lines.

Label Embedding Network

A multibranch neural net architecture. (PyTorch)

sensAI: ConvNets Decomposition via Class Parallelism for Fast Inference on Live Data

PyTorch implementation of shake-drop regularization