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Search results for imagenet cifar

226 search results found

accepted by ACML2017

Regnet Pytorch ⭐ 7

PyTorch reimplementation of RegNet (Design Space Design, CVPR2020) on CIFAR10 and ImageNet

Pytorch_simple_classification_baselines ⭐ 7

Simple pytorch classification baselines for MNIST, CIFAR and ImageNet

Labelnoisedrpl ⭐ 7

Dpp Dropout Uncertainty ⭐ 7

Effective uncertainty estimation with decorellation and DPP mask for dropout

Torch Tresnet ⭐ 7

Packaged TResNet based on Official PyTorch Implementation

Mltuner Geeps ⭐ 6

GeePS with automatic tuning on learning rate, momentum, batch size, data staleness and more.

Subspace Attack.pytorch ⭐ 6

Implementation of our NeurIPS 2019 paper: Subspace Attack: Exploiting Promising Subspaces for Query-Efficient Black-box Attacks

Bmxnet V2 Examples ⭐ 6

Examples for BMXNet v2 (https://github.com/hpi-xnor/BMXNet-v2)

Uniformaugment ⭐ 6

Unofficial PyTorch Reimplementation of UniformAugment.

Ternarized_neural_network ⭐ 6

Optimizing Deep Convolutional Neural Network with Ternarized Weights and High Accuracy

Normprojection ⭐ 6

This project is the Torch implementation of the paper: Projection Based Weight Normalization for Deep Neural Networks (arXiv:1710.02338)

Cifar10_pytorch ⭐ 6

Model benchmark on CIFAR10 dataset in PyTorch.

Gconv Prune ⭐ 6

Code repository for paper "Efficient Structured Pruning and Architecture Searching for Group Convolution" https://arxiv.org/abs/1811.09341

Mycifar255 ⭐ 6

卷积神经网络算法处理图片识别最大255个品类。 1，根据tensorflow -cifar10 示例改进，以便适应更多图片与分类。2，完善打包图片到Bin文件的生成机制

The official implementation of LumiNet: The Bright Side of Perceptual Knowledge Distillation https://arxiv.org/abs/2310.03669

Itq_pytorch ⭐ 5

Source code for paper "Iterative Quantization: A Procrustean Approach to Learning Binary Codes for Large-Scale Image Retrieval" on TPAMI-2013

Source code for HTD (WACV 2019)

Igcv_v1.pytorch ⭐ 5

re-implement for paper: Interleaved Group Convolutions for Deep Neural Networks. (IGCV V1)

Rmn Rpn For Fsl ⭐ 5

This is the source for paper "Relative Position and Map Networks in Few-shot Learning for Image Classification"

Stochasticity_in_neural_ode ⭐ 5

"Stochasticity in Neural ODEs: An Empirical Study". Experiments from the paper

Load various datasets in Python for computer vision purposes

Deep Symmetry ⭐ 5

Fs Neurons ⭐ 5

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