595 Open source projects that are alternatives of or similar to Nsfw Resnet

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

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

Balanced Multiclass Image Classification with TensorFlow on Python.

Demo of Face Recognition web service

Final Project of the Udacity AI Programming with Python Nanodegree

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

TensorFlow implementation of DeepMask and SharpMask

Handwritten digit recognizer using a feed-forward neural network and the MNIST dataset of 70,000 human-labeled handwritten digits.

Easily train an image classifier and then use it to label/tag other images

Unofficial Implementation of ECANets (CVPR 2020) for the Reproducibility Challenge 2020.

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

CNN image classifier implemented in Keras Notebook 🖼️.

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)

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.

Chrome browser extension for using TensorFlow image recognition on web pages

Deep learning codes and projects using Python

A Rock-Paper-Scissors game using computer vision and machine learning on Raspberry Pi

Bottleneck Transformers for Visual Recognition

This project shows how to use CoreML and Vision with a pre-trained deep learning SSD (Single Shot MultiBox Detector) model. There are many variations of SSD. The one we’re going to use is MobileNetV2 as the backbone this model also has separable convolutions for the SSD layers, also known as SSDLite. This app can find the locations of several di…

Modernize and Extend: JPetStore on IBM Cloud Kubernetes Service

A Laravel Package/Facade for the AWS Rekognition API

Computer vision library for wildfire detection

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

Player detection and ball detection in football matches using image processing(opencv).

猫狗大战

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

Channel Pruning for Accelerating Very Deep Neural Networks (ICCV'17)

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

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

Binary Image Classification in TensorFlow

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

Pre-trained VGG-Net Model for image classification using tensorflow

OpenMMLab Image Classification Toolbox and Benchmark

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

Tool to gather main colors of an image using Unity.

Zalo AI Challenge - Landmark Identification

Paper notes in deep learning/machine learning and computer vision

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

ICCV2021/2019/2017 论文/代码/解读/直播合集，极市团队整理

A machine learning exercise, using KNN to classify deforested areas

No description or website provided.

🙄 Difficult algorithm, Simple code.

[NeurIPS 2021] Global Filter Networks for Image Classification

Official PyTorch code for CVPR 2020 paper "Deep Active Learning for Biased Datasets via Fisher Kernel Self-Supervision"

Programming assignments, labs and quizzes from all courses in the Coursera AI for Medicine Specialization offered by deeplearning.ai

Keras implementation of a ResNet-CAM model

It contains the coursework and the practice I have done while learning Deep Learning.🚀 👨‍💻💥 🚩🌈

Experiments with Mobile

No description or website provided.

Deep Learning Computer Vision Algorithms for Real-World Use

TensorFlow ImageNet demo using ROS sensor_msgs/Image

Reference implementation for Blueprint Separable Convolutions (CVPR 2020)

Facial Expression Recognition using Residual Masking Network

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.

Yandex SDA classes on deep learning. Version of year 2017

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

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.

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.

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。