768 Open source projects that are alternatives of or similar to Pytorch Classification

Speech commands recognition with PyTorch

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

Classification models trained on ImageNet. Keras.

Various CNN models for CIFAR10 with Chainer

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

PyTorch implementation of CNNs for CIFAR benchmark

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

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

OpenMMLab Image Classification Toolbox and Benchmark

PyTorch to Keras model convertor

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

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

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

Segmentation models with pretrained backbones. Keras and TensorFlow Keras.

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.

This implements training of popular model architectures, such as AlexNet, ResNet and VGG on the ImageNet dataset(Now we supported alexnet, vgg, resnet, squeezenet, densenet)

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)

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.

Gluon to PyTorch deep neural network model converter

用python做计算机视觉，人工智能，机器学习，深度学习等

Implement popular models by different DL framework. Such as tensorflow and caffe

A collection of deep learning models (PyTorch implemtation)

Unofficial pytorch implementation of ReZero in ResNet

Selective Classification For Deep Neural Networks.

Reference implementation for Blueprint Separable Convolutions (CVPR 2020)

medium blog supplementaries | Backprop | Resnet & ResNext | RNN |

Bottleneck Transformers for Visual Recognition

Gluon to PyTorch deep neural network model converter

Scripts to work with LMDB + PyTorch for Imagenet training

Replace FC2, LeNet-5, VGG, Resnet, Densenet's full-connected layers with MPO

No description or website provided.

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

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

Train DenseNet on Cifar-10 based on Keras

Computer vision library for wildfire detection

This is an official implementation of CvT: Introducing Convolutions to Vision Transformers.

practice on CIFAR10 with Keras

A Multi-Class Brain Tumor Classifier using Convolutional Neural Network with 99% Accuracy achieved by applying the method of Transfer Learning using Python and Pytorch Deep Learning Framework

Keras implementation of a ResNet-CAM model

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

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

ResNet for Cifar10

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

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

Unofficial PyTorch Reimplementation of RandAugment.

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

Reproduces ResNet-V3 with pytorch

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

Object Tracking in Tensorflow ( Localization Detection Classification ) developed to partecipate to ImageNET VID competition

MobileNetV3 in pytorch and ImageNet pretrained models

Keras implementation of "One pixel attack for fooling deep neural networks" using differential evolution on Cifar10 and ImageNet

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

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

Simple Tensorflow implementation of "Squeeze and Excitation Networks" using Cifar10 (ResNeXt, Inception-v4, Inception-resnet-v2)

Tensorflow ResNet implementation on cifar10

tensorflow implementation of Exploring Randomly Wired Neural Networks for Image Recognition

PyTorch implementation of image classification models for CIFAR-10/CIFAR-100/MNIST/FashionMNIST/Kuzushiji-MNIST/ImageNet

(ECCV 2020) Tensorflow implementation of A Generic Visualization Approach for Convolutional Neural Networks

Sandbox for training deep learning networks