cifar
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Sandbox for training deep learning networks
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Sep 6, 2024 - Python
Proper implementation of ResNet-s for CIFAR10/100 in pytorch that matches description of the original paper.
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Jun 18, 2024 - Python
The official implementation of [CVPR2022] Decoupled Knowledge Distillationhttps://arxiv.org/abs/2203.08679 and [ICCV2023] DOT: A Distillation-Oriented Trainerhttps://openaccess.thecvf.com/content/ICCV2023/papers/Zhao_DOT_A_Distillation-Oriented_Trainer_ICCV_2023_paper.pdf
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Nov 5, 2023 - Python
PyTorch implementation of CNNs for CIFAR benchmark
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Feb 20, 2021 - Python
Unofficial PyTorch Reimplementation of RandAugment.
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Mar 14, 2023 - Python
Implementation of the mixup training method
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Jun 12, 2018 - Python
Multi-Scale Dense Networks for Resource Efficient Image Classification (ICLR 2018 Oral)
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Apr 3, 2019 - Lua
Quickly comparing your image classification models with the state-of-the-art models (such as DenseNet, ResNet, ...)
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Apr 12, 2019 - Python
TensorFlow implementation of GoogLeNet and Inception for image classification.
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Mar 11, 2020 - Python
Pretrained GANs + VAEs + classifiers for MNIST/CIFAR in pytorch.
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Feb 2, 2025 - Jupyter Notebook
Open Set Recognition
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Sep 13, 2021 - Python
Implementation of our Pattern Recognition paper "DMT: Dynamic Mutual Training for Semi-Supervised Learning"
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Jun 16, 2022 - Python
The official implementation of paper: "Inter-Instance Similarity Modeling for Contrastive Learning"
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Nov 8, 2024 - Python
[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, DenseNet, PyramidNet, and EfficientNet.
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Aug 14, 2022 - Python
✨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,快速部署深度学习模型为网页应用,Web预测系统,决策支持系统(DSS),图像分类前端网页,图像分类Demo展示-Pywebio。AI人工智能图像分类-Pytorch。CIFAR10数据集,小模型。100%纯Python代码,轻量化,易复现
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Sep 18, 2024 - Python
Training ImageNet / CIFAR models with sota strategies and fancy techniques such as ViT, KD, Rep, etc.
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Mar 20, 2024 - Python
Training Low-bits DNNs with Stochastic Quantization
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Aug 4, 2017 - Jupyter Notebook
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