452 Open source projects that are alternatives of or similar to Alexnet

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Implementation of EfficientNet model. Keras and TensorFlow Keras.

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.

Parametric Contrastive Learning (ICCV2021)

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

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

OpenMMLab Image Classification Toolbox and Benchmark

🍊 🎑 Orange3 add-on for dealing with image related tasks

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

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

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

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

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

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

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

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

Sandbox for training deep learning networks

Implementation code of the paper: FishNet: A Versatile Backbone for Image, Region, and Pixel Level Prediction, NeurIPS 2018

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

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

Tensorflow implementation of "Compounding the Performance Improvements of Assembled Techniques in a Convolutional Neural Network"

A collection of SOTA Image Classification Models in PyTorch

Label Studio is a multi-type data labeling and annotation tool with standardized output format

Train the HRNet model on ImageNet

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

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

Bottleneck Transformers for Visual Recognition

Powerful and efficient Computer Vision Annotation Tool (CVAT)

[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"

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

[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.

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

Deploying Keras models using TensorFlow Serving and Flask

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.

A new test set for ImageNet

Implementing Lambda Networks using Pytorch

🐰 Python lib for remo - the app for annotations and images management in Computer Vision

LabelD is a quick and easy-to-use image annotation tool, built for academics, data scientists, and software engineers to enable single track or distributed image tagging. LabelD supports both localized, in-image (multi-)tagging, as well as image categorization.

Source code of Indian Paper Currency Prediction 🔥

train resnet on imagenet from scratch with caffe

CV backbones including GhostNet, TinyNet and TNT, developed by Huawei Noah's Ark Lab.

🙄 Difficult algorithm, Simple code.

🔥🔥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）🔥🔥

CNN image classifier implemented in Keras Notebook 🖼️.

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)

TensorFlow implementation of PNASNet-5 on ImageNet

A pytorch implementation of VoVNet

Almost any Image classification problem using pytorch

Test Time image Augmentation (TTA) wrapper for Keras model.

Deep Learning Food Classifier for iOS using Keras and Tensorflow

⚡ Useful scripts when using TensorRT

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

A tool for quickly training image classifiers in the browser

[ICCV 2019] Harmonious Bottleneck on Two Orthogonal Dimensions

Image classification: efficientnet/resnest/seresnext/.....

Image Tampering Detection using ELA and CNN

Official Implementation of 'Fast AutoAugment' in PyTorch.

A curated list of deep learning image classification papers and codes

Detecting robot grasping positions with deep neural networks. The model is trained on Cornell Grasping Dataset. This is an implementation mainly based on the paper 'Real-Time Grasp Detection Using Convolutional Neural Networks' from Redmon and Angelova.