cifar10
Here are 805 public repositories matching this topic...
A PyTorch implementation for exploring deep and shallow knowledge distillation (KD) experiments with flexibility
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Mar 25, 2023 - Python
PyTorch implementation of image classification models for CIFAR-10/CIFAR-100/MNIST/FashionMNIST/Kuzushiji-MNIST/ImageNet
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Dec 12, 2021 - Python
Play deep learning with CIFAR datasets
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Aug 27, 2020 - Python
Keras implementation of "One pixel attack for fooling deep neural networks" using differential evolution on Cifar10 and ImageNet
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Apr 24, 2024 - Jupyter Notebook
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.
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May 22, 2024 - Pascal
Pretrained TorchVision models on CIFAR10 dataset (with weights)
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Jun 24, 2023 - Python
Making decision trees competitive with neural networks on CIFAR10, CIFAR100, TinyImagenet200, Imagenet
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May 1, 2023 - Python
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.
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May 4, 2024 - Python
A PyTorch implementation of SimCLR based on ICML 2020 paper "A Simple Framework for Contrastive Learning of Visual Representations"
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Aug 24, 2020 - Python
3.41% and 17.11% error on CIFAR-10 and CIFAR-100
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Dec 17, 2018 - Python
[ICCV 2019] "AutoGAN: Neural Architecture Search for Generative Adversarial Networks" by Xinyu Gong, Shiyu Chang, Yifan Jiang and Zhangyang Wang
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Jan 25, 2024 - Python
Keras implementations of Generative Adversarial Networks. GANs, DCGAN, CGAN, CCGAN, WGAN and LSGAN models with MNIST and CIFAR-10 datasets.
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Nov 8, 2023 - Jupyter Notebook
Train to 94% on CIFAR-10 in <6.3 seconds on a single A100. Or ~95.79% in ~110 seconds (or less!)
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Nov 7, 2023 - Python
Non-negative Positive-Unlabeled (nnPU) and unbiased Positive-Unlabeled (uPU) learning reproductive code on MNIST and CIFAR10
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Dec 13, 2022 - Python
Bottleneck Transformers for Visual Recognition
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Mar 14, 2021 - Python
Predict CIFAR-10 labels with 88% accuracy using keras.
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Jul 6, 2017 - Jupyter Notebook
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