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cifar10

Here are 892 public repositories matching this topic...

A PyTorch implementation for exploring deep and shallow knowledge distillation (KD) experiments with flexibility

  • UpdatedMar 25, 2023
  • Python
torchdistill

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.

  • UpdatedMar 9, 2025
  • Python

PyTorch implementation of image classification models for CIFAR-10/CIFAR-100/MNIST/FashionMNIST/Kuzushiji-MNIST/ImageNet

  • UpdatedDec 12, 2021
  • Python

Train to 94% on CIFAR-10 in <6.3 seconds on a single A100. Or ~95.79% in ~110 seconds (or less!)

  • UpdatedDec 18, 2024
  • Python

Keras implementation of "One pixel attack for fooling deep neural networks" using differential evolution on Cifar10 and ImageNet

  • UpdatedApr 24, 2024
  • Jupyter Notebook

Pretrained TorchVision models on CIFAR10 dataset (with weights)

  • UpdatedJun 24, 2023
  • Python

Making decision trees competitive with neural networks on CIFAR10, CIFAR100, TinyImagenet200, Imagenet

  • UpdatedMay 1, 2023
  • Python

A PyTorch implementation of SimCLR based on ICML 2020 paper "A Simple Framework for Contrastive Learning of Visual Representations"

  • UpdatedAug 24, 2020
  • Python

[ICCV 2019] "AutoGAN: Neural Architecture Search for Generative Adversarial Networks" by Xinyu Gong, Shiyu Chang, Yifan Jiang and Zhangyang Wang

  • UpdatedJan 25, 2024
  • Python
neural-api

CAI NEURAL API - Pascal based deep learning neural network API optimized for AVX, AVX2 and AVX512 instruction sets plus OpenCL capable devices including AMD, Intel and NVIDIA.

  • UpdatedOct 15, 2024
  • Pascal

Pretrained models on CIFAR10/100 in PyTorch

  • UpdatedMar 3, 2023
  • Python

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

  • UpdatedDec 17, 2018
  • Python

Non-negative Positive-Unlabeled (nnPU) and unbiased Positive-Unlabeled (uPU) learning reproductive code on MNIST and CIFAR10

  • UpdatedDec 13, 2022
  • Python

Bottleneck Transformers for Visual Recognition

  • UpdatedMar 14, 2021
  • Python

Tensorflow Implementation of the paper [Neural Discrete Representation Learning](https://arxiv.org/abs/1711.00937) (VQ-VAE).

  • UpdatedApr 5, 2018
  • Jupyter Notebook

DAWNBench: An End-to-End Deep Learning Benchmark and Competition

  • UpdatedSep 17, 2020
  • Python

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。

  • UpdatedDec 7, 2023
  • Jupyter Notebook

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