Skip to content
#

cifar10

Here are 862 public repositories matching this topic...

torchdistill

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.

  • Updated Dec 8, 2024
  • Python
neural-api

用于pytorch的图像分类,包含多种模型方法,比如AlexNet,VGG,GoogleNet,ResNet,DenseNet等等,包含可完整运行的代码。除此之外,也有colab的在线运行代码,可以直接在colab在线运行查看结果。也可以迁移到自己的数据集进行迁移学习。

  • Updated Dec 7, 2023
  • Jupyter Notebook

Improve this page

Add a description, image, and links to the cifar10 topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the cifar10 topic, visit your repo's landing page and select "manage topics."

Learn more