660 Open source projects that are alternatives of or similar to Mmclassification

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)

Classification models trained on ImageNet. Keras.

Implementation of EfficientNet model. Keras and TensorFlow Keras.

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

Reference implementation for Blueprint Separable Convolutions (CVPR 2020)

Mobilenet V2(Inverted Residual) Implementation & Trained Weights Using Tensorflow

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

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

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

No description or website provided.

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

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.

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

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.

Classification with PyTorch.

Segmentation models with pretrained backbones. Keras and TensorFlow Keras.

🙄 Difficult algorithm, Simple code.

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

Labelbox is the fastest way to annotate data to build and ship computer vision applications.

Tensorflow Faster RCNN for Object Detection

Pytorch implementation of network design paradigm described in the paper "Designing Network Design Spaces"

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

implement AlexNet with C / convolutional nerual network / machine learning / computer vision

Deep learning codes and projects using Python

🖍️ LabelImg is a graphical image annotation tool and label object bounding boxes in images

Reproduces ResNet-V3 with pytorch

Parametric Contrastive Learning (ICCV2021)

RectLabel - An image annotation tool to label images for bounding box object detection and segmentation.

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

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

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

Learning Fine-grained Image Similarity with Deep Ranking is a novel application of neural networks, where the authors use a new multi scale architecture combined with a triplet loss to create a neural network that is able to perform image search. This repository is a simplified implementation of the same

🔥🔥NSFW implement in pytorch（色情图&性感图识别，本程序经过了线上大数据集测试，性能优异效果良好）🔥🔥

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

Trial on kaggle imagenet object localization by yolo v3 in google cloud

PyTorch-based modular, configuration-driven framework for knowledge distillation. 🏆18 methods including SOTA are implemented so far. 🎁 Trained models, training logs and configurations are available for ensuring the reproducibiliy.

Sandbox for training deep learning networks

[IEEE Access] "Head Network Distillation: Splitting Distilled Deep Neural Networks for Resource-constrained Edge Computing Systems" and [ACM MobiCom HotEdgeVideo 2019] "Distilled Split Deep Neural Networks for Edge-assisted Real-time Systems"

Neural network model repository for highly sparse and sparse-quantized models with matching sparsification recipes

A simple logo classifier developed using Maixduino framework and PlatfomIO, to run on K210 MCU on Sipeed's Maix dev board.

[Paper 2020] Towards Better Accuracy-efficiency Trade-offs: Divide and Co-training. Plus, an image classification toolbox includes ResNet, Wide-ResNet, ResNeXt, ResNeSt, ResNeXSt, SENet, Shake-Shake, DenseNet, PyramidNet, and EfficientNet.

No description or website provided.

Tutorial for computer vision and machine learning in PHP 7/8 by opencv (installation + examples + documentation)

Bottleneck Transformers for Visual Recognition

Etiketai is an online tool designed to label images, useful for training AI models

Scripts to work with LMDB + PyTorch for Imagenet training

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

Easily train or fine-tune SOTA computer vision models with one open source training library

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

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

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

A collection of SOTA Image Classification Models in PyTorch

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

Programming Assignments and Lectures for Stanford's CS 231: Convolutional Neural Networks for Visual Recognition

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

Computer vision library for wildfire detection

Keras implementation of a ResNet-CAM model

PyTorch to Keras model convertor

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