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Search results for imagenet pretrained models

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33 search results found

Pytorch Image Models ⭐ 30,403

The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more

Segmentation_models.pytorch ⭐ 8,226

Segmentation models with pretrained backbones. PyTorch.

Efficientnet Pytorch ⭐ 6,577

A PyTorch implementation of EfficientNet and EfficientNetV2 (coming soon!)

Paddleclas ⭐ 5,161

A treasure chest for visual classification and recognition powered by PaddlePaddle

Super Gradients ⭐ 4,125

Easily train or fine-tune SOTA computer vision models with one open source training library. The home of Yolo-NAS.

Efficient Ai Backbones ⭐ 3,847

Efficient AI Backbones including GhostNet, TNT and MLP, developed by Huawei Noah's Ark Lab.

Imgclsmob ⭐ 2,399

Sandbox for training deep learning networks

Efficientnet ⭐ 2,048

Implementation of EfficientNet model. Keras and TensorFlow Keras.

Classification_models ⭐ 706

Classification models trained on ImageNet. Keras.

Pytorch Cnn Finetune ⭐ 580

Fine-tune pretrained Convolutional Neural Networks with PyTorch

Functional Zoo ⭐ 557

PyTorch and Tensorflow functional model definitions

Fastervit ⭐ 539

[ICLR 2024] Official PyTorch implementation of FasterViT: Fast Vision Transformers with Hierarchical Attention

Neural Backed Decision Trees ⭐ 445

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

Official Pytorch implementation of ReXNet (Rank eXpansion Network) with pretrained models

[ICML 2023] Official PyTorch implementation of Global Context Vision Transformers

Mobilenetv2.pytorch ⭐ 352

72.8% MobileNetV2 1.0 model on ImageNet and a spectrum of pre-trained MobileNetV2 models

Cnn Models ⭐ 348

ImageNet pre-trained models with batch normalization for the Caffe framework

PyTorch code for "Prototypical Contrastive Learning of Unsupervised Representations"

Easyrobust ⭐ 293

EasyRobust: an Easy-to-use library for state-of-the-art Robust Computer Vision Research with PyTorch.

Mobilenetv3.pytorch ⭐ 279

74.3% MobileNetV3-Large and 67.2% MobileNetV3-Small model on ImageNet

Node Efficientnet ⭐ 245

tensorflowJS implementation of EfficientNet 🚀

Code and pretrained models for LIP: Local Importance-based Pooling (ICCV 19)

Shufflenet V2 Tensorflow ⭐ 131

A lightweight convolutional neural network

Imagenet ⭐ 97

Pytorch Imagenet Models Example + Transfer Learning (and fine-tuning)

[ICCV 2019] Harmonious Bottleneck on Two Orthogonal Dimensions

[CVPR 2020] Dynamic Hierarchical Mimicking Towards Consistent Optimization Objectives

Ghostnet.pytorch ⭐ 57

[CVPR2020] 73.6% GhostNet 1.0x pre-trained model on ImageNet

Official implementation for our CVPR19 paper, AOGNets: Compositional Grammatical Architectures for Deep Learning

Dgconv.pytorch ⭐ 56

PyTorch implementation of Dynamic Grouping Convolution and Groupable ConvNet with pre-trained G-ResNeXt models

Pigallery ⭐ 46

PiGallery: AI-powered Self-hosted Secure Multi-user Image Gallery and Detailed Image analysis using Machine Learning, EXIF Parsing and Geo Tagging

Lambda.pytorch ⭐ 37

PyTorch implementation of Lambda Network and pretrained Lambda-ResNet

MUXConv: Information Multiplexing in Convolutional Neural Networks (CVPR '20), Pytorch Implementation

Regnet.pytorch ⭐ 28

PyTorch-style and human-readable RegNet with a spectrum of pre-trained models

Pytorch_resnet_rs ⭐ 12

Pytorch implementation of "Revisiting ResNets: Improved Training and Scaling Strategies"(https://arxiv.org/pdf/2103.07579.pdf)

Large Scale Pretraining Transfer ⭐ 11

Code for reproducing the experiments on large-scale pre-training and transfer learning for the paper "Effect of large-scale pre-training on full and few-shot transfer learning for natural and medical images" (https://arxiv.org/abs/2106.00116)

Tvmodels ⭐ 10

Pytorch implementation of vision models.

Convnetcs ⭐ 9

convolution neural network library in C# with Pretrained models based on convnetjs

Pretrained Efficient Densenet ⭐ 7

Pretrained Efficient DenseNet Model

Pytorch Mixnet Ss ⭐ 5

Extremely light-weight MixNet with Top-1 75.7% and 2.5M params

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