#计算机科学#Sandbox for training deep learning networks
翻译 - 用于训练卷积网络以实现计算机视觉的沙箱
Proper implementation of ResNet-s for CIFAR10/100 in pytorch that matches description of the original paper.
#计算机科学#The official implementation of [CVPR2022] Decoupled Knowledge Distillation https://arxiv.org/abs/2203.08679 and [ICCV2023] DOT: A Distillation-Oriented Trainer https://openaccess.thecvf.com/content/I...
PyTorch implementation of CNNs for CIFAR benchmark
翻译 - CIFAR基准的CNN的PyTorch实施
#计算机科学#Unofficial PyTorch Reimplementation of RandAugment.
Implementation of the mixup training method
TensorFlow implementation of GoogLeNet and Inception for image classification.
#计算机科学#Pretrained GANs + VAEs + classifiers for MNIST/CIFAR in pytorch.
Implementation of our Pattern Recognition paper "DMT: Dynamic Mutual Training for Semi-Supervised Learning"
The official implementation of paper: "Inter-Instance Similarity Modeling for Contrastive Learning"
[TIP 2022] Towards Better Accuracy-efficiency Trade-offs: Divide and Co-training. Plus, an image classification toolbox includes ResNet, Wide-ResNet, ResNeXt, ResNeSt, ResNeXSt, SENet, Shake-Shake, De...
✨基于卷积神经网络(CNN)和CIFAR10数据集的图像智能分类 Web 应用 Intelligent Image Classification Web Applcation based on Convolutional Neural Networks and the CIFAR10 Dataset✨🚩 (with README in English) 📌含在线demo:图像分类可视化界面,快...
Training ImageNet / CIFAR models with sota strategies and fancy techniques such as ViT, KD, Rep, etc.
Training Low-bits DNNs with Stochastic Quantization