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Search results for imagenet cifar100

14 search results found

Pytorch Classification ⭐ 1,244

Classification with PyTorch.

Torchdistill ⭐ 1,171

A coding-free framework built on PyTorch for reproducible deep learning studies. 🏆22 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.

Neural Backed Decision Trees ⭐ 445

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

Pyramidnet Pytorch ⭐ 215

A PyTorch implementation for PyramidNets (Deep Pyramidal Residual Networks, https://arxiv.org/abs/1610.02915)

Mobilenetv3 Pytorch ⭐ 197

Implementing Searching for MobileNetV3 paper using Pytorch

Code for CVPR 2019 paper: " Learning Deep Compositional Grammatical Architectures for Visual Recognition"

Pyramidnet ⭐ 121

Torch implementation of the paper "Deep Pyramidal Residual Networks" (https://arxiv.org/abs/1610.02915).

Petridishnn ⭐ 110

Code for the neural architecture search methods contained in the paper Efficient Forward Neural Architecture Search

[AAAI 2023] Code for "Curriculum Temperature for Knowledge Distillation"

Code for You Only Cut Once: Boosting Data Augmentation with a Single Cut, ICML 2022.

Ceit Pytorch ⭐ 84

Implementation of Convolutional enhanced image Transformer

Dynamic Token Expansion with Continual Transformers, accepted at CVPR 2022

Code for "Is Synthetic Data From Diffusion Models Ready for Knowledge Distillation?" (https://arxiv.org/abs/2305.12954)

Pytorch Nn Practice ⭐ 33

💩 My pytorch neural network practice repo

sensAI: ConvNets Decomposition via Class Parallelism for Fast Inference on Live Data

Nips Global Paper Implementation Challenge ⭐ 12

Selective Classification For Deep Neural Networks.

Mobilenetv3 ⭐ 9

An implementation of MobileNetV3 with pyTorch

Locally Sag Transformer ⭐ 8

Official Pytorch implementation of the paper: "Locally Shifted Attention With Early Global Integration"

Official PyTorch Implementation of Guarding Barlow Twins Against Overfitting with Mixed Samples

Feather is a module that enables effective sparsification of neural networks during training. This repository accompanies the paper "Feather: An Elegant Solution to Effective DNN Sparsification" (BMVC2023).

Qtclassification ⭐ 7

A lightweight and extensible toolbox for image classification

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