A python library built to empower developers to build applications and systems with self-contained Computer Vision capabilities

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)

Classification models trained on ImageNet. Keras.

Keras model of NSFW detector

InceptionTime: Finding AlexNet for Time Series Classification

Sign Language Gesture Recognition From Video Sequences Using RNN And CNN

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

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

Mobile AI Compute Engine Model Zoo

Deploying Keras models using TensorFlow Serving and Flask

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

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

gender/age classification

🎱 A demonstration of existing machine learning toolkits on Kubernetes

A project developed and maintained as part of the aim at bringing current capabilities in machine learning and artificial intelligence into practical use for non-programmers and average computer users.

Image classifier for colon cancer detection from colonoscopies.

Audio Classification using Image Classification

AI, Tensorflow, Inceptionv3, AI as a Service, Flask

Retrained InceptionV3 image classification model