371 Open source projects that are alternatives of or similar to Imagenet

Classification models trained on ImageNet. Keras.

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

Books, Presentations, Workshops, Notebook Labs, and Model Zoo for Software Engineers and Data Scientists wanting to learn the TF.Keras Machine Learning framework

Various CNN models for CIFAR10 with Chainer

PyTorch to Keras model convertor

天池医疗AI大赛[第一季]：肺部结节智能诊断 UNet/VGG/Inception/ResNet/DenseNet

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

PyTorch to Keras model convertor

用python做计算机视觉，人工智能，机器学习，深度学习等

High level network definitions with pre-trained weights in TensorFlow

Classification with PyTorch.

AI场景分类竞赛

Caffe models (including classification, detection and segmentation) and deploy files for famouse networks

train resnet on imagenet from scratch with caffe

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

A Caffe Re-Implementation of SENet

AI Papers

记录每一个常用的深度模型结构的特点（图和代码）

Scripts to work with LMDB + PyTorch for Imagenet training

Gluon to PyTorch deep neural network model converter

A collection of deep learning models (PyTorch implemtation)

我的笔记和Demo，包含分类，检测、分割、知识蒸馏。

This is a code repository for pytorch c++ (or libtorch) tutorial.

SimpleAICV:pytorch training example on ImageNet(ILSVRC2012)/COCO2017/VOC2007+2012 datasets.Include ResNet/DarkNet/RetinaNet/FCOS/CenterNet/TTFNet/YOLOv3/YOLOv4/YOLOv5/YOLOX.

No description or website provided.

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

A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.

Improved Residual Networks (https://arxiv.org/pdf/2004.04989.pdf)

This project is the PyTorch implementation of our accepted CVPR 2020 paper : forward and backward information retention for accurate binary neural networks.

Implementation of popular deep learning networks with TensorRT network definition API

Deep fusion project of deeply-fused nets, and the study on the connection to ensembling

PyTorch implementation of Octave Convolution with pre-trained Oct-ResNet and Oct-MobileNet models

Transfer Learning with DCNNs (DenseNet, Inception V3, Inception-ResNet V2, VGG16) for skin lesions classification

Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet, NasNet, Residual Attention Network, SENet, WideResNet)

[ECCV 2020] Scale Adaptive Network: Learning to Learn Parameterized Classification Networks for Scalable Input Images

A list of popular deep learning models related to classification, segmentation and detection problems

Gluon to PyTorch deep neural network model converter

A list of popular deep learning models related to classification, segmentation and detection problems

PyTorch implementation of DeepDream algorithm

Hands on Imagenet training. Unofficial ModelZoo project on Pytorch. MobileNetV3 Top1 75.64🌟 GhostNet1.3x 75.78🌟

Segmentation models with pretrained backbones. Keras and TensorFlow Keras.

35% faster than ResNet: Harmonic DenseNet, A low memory traffic network

Tutorials on how to implement a few key architectures for image classification using PyTorch and TorchVision.

TensorFlow implementation of Faster RCNN for Object Detection

RM Operation can equivalently convert ResNet to VGG, which is better for pruning; and can help RepVGG perform better when the depth is large.

利用pytorch实现图像分类的一个完整的代码，训练，预测，TTA，模型融合，模型部署，cnn提取特征，svm或者随机森林等进行分类，模型蒸馏，一个完整的代码

A tensorflow2 implementation of some basic CNNs(MobileNetV1/V2/V3, EfficientNet, ResNeXt, InceptionV4, InceptionResNetV1/V2, SENet, SqueezeNet, DenseNet, ShuffleNetV2, ResNet).

DenseNet Caffe Models, converted from https://github.com/liuzhuang13/DenseNet

♾A curated list of papers and code about very deep neural networks

A pytorch-based deep learning framework for multi-modal 2D/3D medical image segmentation

OpenMMLab Image Classification Toolbox and Benchmark

practice on CIFAR10 with Keras

VGG16 Net implementation from PyTorch Examples scripts for ImageNet dataset

Train ResNet on ImageNet in Tensorflow 2.0; ResNet 在ImageNet上完整训练代码

A c++ trainable semantic segmentation library based on libtorch (pytorch c++). Backbone: ResNet, ResNext. Architecture: FPN, U-Net, PAN, LinkNet, PSPNet, DeepLab-V3, DeepLab-V3+ by now.

Training examples and results for ImageNet(ILSVRC2012)/CIFAR100/COCO2017/VOC2007+VOC2012 datasets.Image Classification/Object Detection.Include ResNet/EfficientNet/VovNet/DarkNet/RegNet/RetinaNet/FCOS/CenterNet/YOLOv3.

Computer vision library for wildfire detection

PyTorch implementation of CNNs for CIFAR benchmark

Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.

ASR with PyTorch