378 Open source projects that are alternatives of or similar to Googlenet Inception

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

猫狗大战

Bridging the gap Between Stability and Scalability in Neural Architecture Search

A smart album for Android which use tensorflow to classify images

텐서플로우를 기초부터 응용까지 단계별로 연습할 수 있는 소스 코드를 제공합니다

Deep learning codes and projects using Python

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.

A script in python to organize your images by similarity.

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

Object classification with CIFAR-10 using transfer learning

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

A Keras implementation of MobileNetV3.

A curated list of deep learning image classification papers and codes

ML data annotations made super easy for teams. Just upload data, add your team and build training/evaluation dataset in hours.

CNN image classifier implemented in Keras Notebook 🖼️.

Sandbox for training deep learning networks

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

SQL 审核查询平台

Almost any Image classification problem using pytorch

Large Scale Fine-Grained Categorization and Domain-Specific Transfer Learning. CVPR 2018

Nudity detection with JavaScript and HTMLCanvas

AutoML frAmework for Neural Networks

A machine learning experiment

基于Tensorflow的常用模型，包括分类分割、新型激活、卷积模块，可在Tensorflow2.X下运行。

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

Block-wisely Supervised Neural Architecture Search with Knowledge Distillation (CVPR 2020)

Implementation of Transformer in Transformer, pixel level attention paired with patch level attention for image classification, in Pytorch

Implementation of EfficientNet model. Keras and TensorFlow Keras.

A TensorFlow implementation of Group Normalization on the task of image classification

🔥🔥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）🔥🔥

An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

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

Tutorial demonstrating how to create a semantic segmentation (pixel-level classification) model to predict land cover from aerial imagery. This model can be used to identify newly developed or flooded land. Uses ground-truth labels and processed NAIP imagery provided by the Chesapeake Conservancy.

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

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.

Official Function and Template Store for OpenFaaS

Image classification for everyone.

.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/

A specially designed light version of Fast AutoAugment

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.

A UI tool for quickly training image classifiers in the browser

Host yo' self from your browser, your phone, your toaster.

AFPlan is an architectural floor plan analysis and recognition system to create extended plans for building services.

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

Deep Learning API and Server in C++14 support for Caffe, Caffe2, PyTorch,TensorRT, Dlib, NCNN, Tensorflow, XGBoost and TSNE

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

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

Facial Expression Recognition using Residual Masking Network

Transfer Learning Suite in Keras. Perform transfer learning using any built-in Keras image classification model easily!

Implementation of the model used in the paper Protest Activity Detection and Perceived Violence Estimation from Social Media Images (ACM Multimedia 2017)

IPyPlot is a small python package offering fast and efficient plotting of images inside Python Notebooks. It's using IPython with HTML for faster, richer and more interactive way of displaying big numbers of images.

Code and Pretrained model for IGCV3

Deploying Keras models using TensorFlow Serving and Flask

IdenProf dataset is a collection of images of identifiable professionals. It is been collected to enable the development of AI systems that can serve by identifying people and the nature of their job by simply looking at an image, just like humans can do.

Implementing Lambda Networks using Pytorch

Source code of Indian Paper Currency Prediction 🔥

Two-Stage Convolutional Neural Network for Breast Cancer Histology Image Classification. ICIAR 2018 Grand Challenge on BreAst Cancer Histology images (BACH)

Accelerated deep learning R&D

NFNets and Adaptive Gradient Clipping for SGD implemented in PyTorch