#计算机科学#Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet, N...
翻译 - 在cifar100上进行实践（ResNet，DenseNet，VGG，GoogleNet，InceptionV3，InceptionV4，Inception-ResNetv2，Xception，Resnet In Resnet，ResNext，ShuffleNet，ShuffleNetv2，MobileNet，MobileNetv2，SqueezeNet，NasNet，残留注意力网络，SENet）
Classification with PyTorch.
#自然语言处理#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 implemente...
Making decision trees competitive with neural networks on CIFAR10, CIFAR100, TinyImagenet200, Imagenet
#计算机科学#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
#计算机科学#Reference implementation for Blueprint Separable Convolutions (CVPR 2020)
#计算机科学#Code for CVPR 2019 paper: " Learning Deep Compositional Grammatical Architectures for Visual Recognition"
#Awesome#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.
#计算机科学#sensAI: ConvNets Decomposition via Class Parallelism for Fast Inference on Live Data
PyTorch implementation of shake-drop regularization