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

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

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.

An AI based application to identify currency and gives audio feedback.

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Official repository for the "Big Transfer (BiT): General Visual Representation Learning" paper.

train resnet on imagenet from scratch with caffe

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🙄 Difficult algorithm, Simple code.

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.

Object classification with CIFAR-10 using transfer learning

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TensorFlow Implementation of state-of-the-art models since 2012

🔥🔥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）🔥🔥

This package is a complete tool for creating a large dataset of images (specially designed -but not only- for machine learning enthusiasts). It can crawl the web, download images, rename / resize / covert the images and merge folders..

A pytorch implementation of VoVNet

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Almost any Image classification problem using pytorch

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.

Deep Learning Food Classifier for iOS using Keras and Tensorflow

Towards Automated Deep Learning: Efficient Joint Neural Architecture and Hyperparameter Search https://arxiv.org/abs/1807.06906

⚡ Useful scripts when using TensorRT

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

[ICCV 2019] Harmonious Bottleneck on Two Orthogonal Dimensions

A collection of computer vision pre-trained models.

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

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

Official Implementation of 'Fast AutoAugment' in PyTorch.

Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about the library: https://www.mdpi.com/2078-2489/11/2/125

WB color augmenter improves the accuracy of image classification and image semantic segmentation methods by emulating different WB effects (ICCV 2019) [Python & Matlab].

PyTorch extensions for fast R&D prototyping and Kaggle farming

Porting pytorch dcgan on FloydHub

Towards Building an Intelligent Anti-Malware System: A Deep Learning Approach using Support Vector Machine for Malware Classification

Retrained InceptionV3 image classification model

Classification with PyTorch.

Classification models trained on ImageNet. Keras.

.NET Standard bindings for Apache MxNet with Imperative, Symbolic and Gluon Interface for developing, training and deploying Machine Learning models in C#. https://mxnet.tech-quantum.com/

AutoML frAmework for Neural Networks

👁 Bulk-download all thumbnails from an ImageNet synset, with optional rescaling

Ipython Notebooks for solving problems like classification, segmentation, generation using latest Deep learning algorithms on different publicly available text and image data-sets.

Implementation of the paper "A Hierarchical Grocery Store Image Dataset with Visual and Semantic Labels"

Train and predict your model on pre-trained deep learning models through the GUI (web app). No more many parameters, no more data preprocessing.

A simple example on Image Classification in Node.js with TensorFlow.js

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

Image Classification on CIFAR-10 Dataset using Multi Layer Perceptrons in Python from Scratch.

A photo OCR project aims to output DMS messages contained in sign structure images.

Reference implementation for Blueprint Separable Convolutions (CVPR 2020)

Source code for 'ISIC 2018: Skin Lesion Analysis Towards Melanoma Detection' - Task 3 (Classification)

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An example of using Tensorflow with Unity for image classification and object detection.

Keras implementation of Mobile Networks

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

Deep Learning: Image classification, feature visualization and transfer learning with Keras

Deep Learning and Reinforcement Learning Library for Scientists and Engineers 🔥