inceptionv3

weiaicunzai/pytorch-cifar100

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)

GantMan/nsfw_model

Keras model of NSFW detector

qubvel/classification_models

Classification models trained on ImageNet. Keras.

hfawaz/InceptionTime

InceptionTime: Finding AlexNet for Time Series Classification

Murgio/Food-Recipe-CNN

food image to recipe with deep convolutional neural networks.

hthuwal/sign-language-gesture-recognition

Sign Language Gesture Recognition From Video Sequences Using RNN And CNN

XiaoMi/mace-models

Mobile AI Compute Engine Model Zoo

ahmetws/UnsplashExplorer-CoreML

Core ML demo app with Unsplash API

loicmarie/sign-language-alphabet-recognizer

Simple sign language alphabet recognizer using Python, openCV and tensorflow for training Inception model (CNN classifier).

dabasajay/Image-Caption-Generator

A neural network to generate captions for an image using CNN and RNN with BEAM Search.

HLearning/ai_papers

AI Papers

AlexOlsen/DeepWeeds

A Multiclass Weed Species Image Dataset for Deep Learning

anjanatiha/Pneumonia-Detection-from-Chest-X-Ray-Images-with-Deep-Learning

Detecting Pneumonia in Chest X-ray Images using Convolutional Neural Network and Pretrained Models

kaushikjadhav01/COVID-19-Detection-Flask-App-based-on-Chest-X-rays-and-CT-Scans

COVID-19 Detection Chest X-rays and CT scans: COVID-19 Detection based on Chest X-rays and CT Scans using four Transfer Learning algorithms: VGG16, ResNet50, InceptionV3, Xception. The models were trained for 500 epochs on around 1000 Chest X-rays and around 750 CT Scan images on Google Colab GPU. A Flask App was later developed wherein user can upload Chest X-rays or CT Scans and get the output of possibility of COVID infection.

himanshurawlani/keras-and-tensorflow-serving

Deploying Keras models using TensorFlow Serving and Flask

deadskull7/Pneumonia-Diagnosis-using-XRays-96-percent-Recall

BEST SCORE ON KAGGLE SO FAR , EVEN BETTER THAN THE KAGGLE TEAM MEMBER WHO DID BEST SO FAR. The project is about diagnosing pneumonia from XRay images of lungs of a person using self laid convolutional neural network and tranfer learning via inceptionV3. The images were of size greater than 1000 pixels per dimension and the total dataset was tagged large and had a space of 1GB+ . My work includes self laid neural network which was repeatedly tuned for one of the best hyperparameters and used variety of utility function of keras like callbacks for learning rate and checkpointing. Could have augmented the image data for even better modelling but was short of RAM on kaggle kernel. Other metrics like precision , recall and f1 score using confusion matrix were taken off special care. The other part included a brief introduction of transfer learning via InceptionV3 and was tuned entirely rather than partially after loading the inceptionv3 weights for the maximum achieved accuracy on kaggle till date. This achieved even a higher precision than before.

anktplwl91/visualizing_convnets

This is the code repository for my Medium post "Understanding your Convolution network with Visualizations"

AKASH2907/bird_species_classification

Supervised Classification of bird species :bird: in high resolution images, especially for, Himalayan birds, having diverse species with fairly low amount of labelled data [ICVGIPW'18]

hoang-ho/Skin_Lesions_Classification_DCNNs

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

Hellcatzm/TransforLearning_TensorFlow

使用预训练好的InceptionV3模型对自己的数据进行分类，用这个代码的同学希望可以给一个star

ritazh/k8s-ml

🎱 A demonstration of existing machine learning toolkits on Kubernetes

cocoa-ai/InceptionVisionDemo

🎥 iOS11 demo application for dominant objects detection.

divyansh1195/Tomato-Leaf-Disease-Detection-

Depp Learning Tomato Leaf Disease Prediction project deployment using flask, Keras, TensorFlow, sklearn libraries.

OValery16/gender-age-classification

gender/age classification

iamvishnuks/AudioNet

Audio Classification using Image Classification

n3011/Inception_v3_GoogLeNet

GoogleNet Inception v3

NANDINI-star/Real-life-violence-detection

j05t/dbclf

Identify Dog Breeds Android App

3outeille/Research-Paper-Summary

Summary & Implementation of Deep Learning research paper in Tensorflow/Pytorch.

cynicphoenix/Human-Action-Recognition

Computer Vision Project : Action Recognition on UCF101 Dataset

narenkhatwani/FoodAayush

This repository consists of our Final Year Project. You can find everything starting from our code to all the resources in this repository

RisenAgain/Bone-Age-Detection-From-X-Ray

damminhtien/deep-learning-image-caption-generator

Deep CNN-LSTM for Generating Image Descriptions :smiling_imp:

IsraelAbebe/plant_disease_experiments

A project to train and evaluate different dnn models for plant disease detection problem, tackle the problem of scarce real-life representative data, experiment with different generative networks and generate more plant leaf image data and implement segmentation pipeline to avoid miss-classification due to unwanted input

vrukshaliii/wecareforfurs

This project aims to classify various types of dog skin diseases using deep learning models with images.