645 Open source projects that are alternatives of or similar to Basic_cnns_tensorflow2

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

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)

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

Speech commands recognition with PyTorch

Segmentation models with pretrained backbones. Keras and TensorFlow Keras.

PyTorch implementation of CNNs for CIFAR benchmark

Classification models trained on ImageNet. Keras.

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

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

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

🔥🔥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）🔥🔥

Computer vision library for wildfire detection

Classification with PyTorch.

OpenMMLab Image Classification Toolbox and Benchmark

No description or website provided.

🙄 Difficult algorithm, Simple code.

TensorFlow ImageNet demo using ROS sensor_msgs/Image

CNN image classifier implemented in Keras Notebook 🖼️.

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.

Deep learning codes and projects using Python

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

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

Keras implementation of a ResNet-CAM model

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

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

Tool to gather main colors of an image using Unity.

Reference implementation for Blueprint Separable Convolutions (CVPR 2020)

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

Binary Image Classification in TensorFlow

Modernize and Extend: JPetStore on IBM Cloud Kubernetes Service

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

Zalo AI Challenge - Landmark Identification

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

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

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

TensorFlow implementation of DeepMask and SharpMask

Balanced Multiclass Image Classification with TensorFlow on Python.

Chrome browser extension for using TensorFlow image recognition on web pages

Paper notes in deep learning/machine learning and computer vision

A collection of deep learning models (PyTorch implemtation)

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

Bottleneck Transformers for Visual Recognition

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

Gluon to PyTorch deep neural network model converter

采用深度学习方法进行刀具识别。

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

A machine learning exercise, using KNN to classify deforested areas

Demo of Face Recognition web service

天池医疗AI大赛[第一季]：肺部结节智能诊断 UNet/VGG/Inception/ResNet/DenseNet

No description or website provided.

用python做计算机视觉，人工智能，机器学习，深度学习等

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…

Final Project of the Udacity AI Programming with Python Nanodegree

Experiments with Mobile

[NeurIPS 2021] Global Filter Networks for Image Classification

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

A Laravel Package/Facade for the AWS Rekognition API

PyTorch to Keras model convertor

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